We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them
• Partner with the analytics engineers to ensure the performance and reliability of our data sources
• Partner with machine learning engineers to deploy predictive models
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies
• Partner with DevOps to build IaC and CI/CD pipelines
• Support code versioning and code deployments for data Pipelines

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting language
• Bachelor's degree in Computer Science, Engineering, or related field, or relevant years of work experience 
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets
• Experience with cloud technologies such as AWS and/or Google Cloud Platform
• Experience with Databricks platform
• Experience with IaC technologies like Terraform
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres
• Experience building event streaming pipelines using Kafka/Confluent Kafka
• Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker
• Experience with containers and container orchestration tools such as Docker or Kubernetes
• Experience with Machine Learning & MLOps
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)
• Thorough understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience building data models using dbt
• Experience with Javascript and event tracking tools like GTM
• Experience designing and developing systems with desired SLAs and data quality metrics
• Experience with microservice architecture
• Experience architecting an enterprise-grade data platform

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Data Engineer, joining our Data team, composed of Data Analysts and Data Engineers. We support the decision making and operational reporting needs by being able to translate data into actionable insights to non-data professionals at Remote. We’re mainly using SQL, Python, Meltano, Airflow, Redshift, Metabase and Retool.

What you bring

• 5+ years of experience in data engineering; high-growth tech company experience is a plus
• Strong experience with building data extraction/transformation pipelines (e.g. Meltano, Airbyte) and orchestration platforms (e.g. Airflow)
• Strong experience in working with SQL, data warehouses (e.g. Redshift) and data transformation workflows (e.g. dbt)
• Solid experience using CI/CD (e.g. Gitlab, Github, Jenkins)
• Experience with data visualization tools (e.g. Metabase) is considered a plus
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• You have strong collaboration skills and enjoy mentoring
• You are a kind, empathetic, and patient person
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Playing a key role in Data Platform Development & Maintenance:
  • Managing and maintaining the organization's data platform, ensuring its stability, scalability, and performance.
  • Collaboration with cross-functional teams to understand their data requirements and optimize data storage and access, while protecting data integrity and privacy.
  • Development and testing architectures that enable data extraction and transformation to serve business needs.
• Improving further our Data Pipeline & Monitoring Systems:
  • Designing, developing, and deploying efficient Extract, Load, Transform (ELT) processes to acquire and integrate data from various sources into the data platform.
  • Identifying, evaluating, and implementing tools and technologies to improve ELT pipeline performance and reliability.
  • Ensuring data quality and consistency by implementing data validation and cleansing techniques.
  • Implementing monitoring solutions to track the health and performance of data pipelines and identify and resolve issues proactively.
  • Conducting regular performance tuning and optimization of data pipelines to meet SLAs and scalability requirements.
• Dig deep into DBT Modelling:
  • Designing, developing, and maintaining DBT (Data Build Tool) models for data transformation and analysis.
  • Collaboration with Data Analysts to understand their reporting and analysis needs and translate them into DBT models, making sure they respect internal conventions and best practices.
• Driving our Culture of Documentation:
  • Creating and maintaining technical documentation, including data dictionaries, process flows, and architectural diagrams.
  • Collaborating with cross-functional teams, including Data Analysts, SREs (Site Reliability Engineers) and Software Engineers, to understand their data requirements and deliver effective data solutions.
  • Sharing knowledge and offer mentorship, providing guidance and advice to peers and colleagues, creating an environment that empowers collective growth

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data 
• Location:For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; Vietnam, Indonesia, Taiwan and South-Korea
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equitypayalong with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $53,500 USD to $131,300 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Async exercise stage 
4. Interview with team members

#LI-DP

This role is open to being 100% remote within Canada, although our home office is located in Toronto, Ontario. You’ll be required to travel to Toronto at a minimum once per quarter for team and/or company events.

Who You’ll be Joining: 

As the Director of Data Engineering, you’ll be joining our VP of Data Science and the greater Data Science Management team here at ecobee, as you lead your team of Data Engineers in building our next generation data platform.

You and your team will lead ecobee in the migration to a data-product culture and in doing so be responsible for defining and building a data-mesh architecture that governs and supports both new and existing data products across all our business domains.

How You’ll Make an Impact:

Your extensive knowledge in data engineering will go towards building an organizational data structure and system architecture that empowers our teams with the ability to intuitively build a cohesive data ecosystem, govern their own data and self-serve their ongoing needs with insights in real-time.

You’ll lead from the front, leveraging you and your team’s strong engineering capabilities to build the core data platform and champion new standards in data development, enabling your team and others to build data products that are discoverable, interoperable, addressable, and secure.

As a Director of Data Engineering at ecobee you will;

• Foster a positive, supportive, and inclusive work environment.
• Hire and develop a team of data engineers — providing them coaching, mentoring, motivation, and technical guidance.
• Build high-quality, efficient, and scalable data infrastructure.
• Bring big-picture thinking to our organizational data strategy, providing guidance to data, engineering, and product teams.
• Partner with domain teams to migrate their existing data products to new data infrastructure and/or governance platform.
• Lead data architecture design that reduces complexity and enables extendibility and reusability.
• Continuously improve engineering practices — balancing speed, quality, and business impact.
• Build effective agile practices that deliver robust solutions on time and on budget.
• Lead the execution of project plans, delivery commitments, and risk mitigation.
• Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time, and cost.
• Build strong partnerships with cross-functional teams to contribute to, and deliver unique customer experiences.
• Thrive in a fast-paced, ambiguous, and high-stakes environment.

What You’ll Bring to the Table:

We've built the below list as a guideline for some of the skills and interests of our development team - but we strive to build our team with members from diverse backgrounds and skill sets, so if any combination of these applies to you we'd love to chat!

• A strong background in Data Engineering and/or Data Architecture that extends out to modern cloud infrastructure and data-mesh/data-fabric principles.
• Hands-on engineering experience, and the on-going willingness to engage in hands-on development.
• The ability to champion projects, educate and inspire cross-functional teams and stakeholders (both technical and non-technical) using excellent verbal and written communication skills.
• Experience managing engineering teams empathetically and effectively.
• Experience with Agile and other program management methodologies.
• Strategies that proactively identify upcoming risks, issues, and bottlenecks both within your team and across departmental boundaries.
• A curious, analytical mentality with a bias towards taking action.
• Experience with some of the following technologies: GCP, AWS, Big Query, Dataflow, Airflow, Matillion, SiSense, Terraform, Docker

Just so you know: The successful candidate will be required to complete a background check. 

What happens after you apply?

Application Review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ application for some roles, it can take a few days, but every applicant can expect a note regarding their application status.

Interview Process (4 Rounds)

• Round 1: A 45-minute phone call with a member of Talent Acquisition.
• Round 2: A 1-hour virtual meeting with the VP of Data Science. This interview has a values and leadership focus.
• Round 3: A 1-hour virtual meeting with a cross-functional team. This interview has a technical focus.
• Round 4: A 1-hour virtual meeting with senior leaders from two teams you’ll work closely with in a cross-functional capacity.

This is a fully Remote and Work From Home (WFH) opportunity within the US

The Senior Data Engineer collaborates with motivated, energetic, and entrepreneurial individuals working together to achieve Science 37’s mission of changing the world of clinical research through patient-centered design. They have a hands-on role with the building and developing the data pipeline/platform that enables Science 37’s groundbreaking clinical research model and collaborates with Product, Data, Clinical Operations, and other relevant stakeholders to define study-specific platform requirements.

The Senior Data Engineer helps drive data democracy at Science. This position will work with our architects, software engineers, product managers, and DevOps to help design and build data solutions and architecture.  They will learn how Science 37 data is used and help make and drive the accessibility of the data that is needed, keeping in mind regulations and data privacy policies.  They will be able to use data processing libraries and tools to help the end users of our data get the insights they need.

DUTIES AND RESPONSIBILITIES

Duties include but are not limited to:

1. Understand how to Install, configure, monitor and maintain databases in the production, development, testing environments
2. Working with cloud vendors like AWS or GCP
3. Working with cloud distributed file systems, data lakes, and data warehouses
4. Creating a data pipelines to help with Internal and External analytics users
5. Define and implement database schemas and configurations working with our development teams
6. Optimize database performance by identifying and resolving application bottlenecks, tuning of DB queries, implementation of stored procedures, conducting performance tests, troubleshooting and integrating new elements
7. Work with and lead development team design and implement reporting capabilities
8. Implement solutions for database performance monitoring and tuning
9. Recommend operational efficiencies, eliminate duplicate work efforts and remove unnecessary complexities; create and implement new procedures and workflows
10. Process database change requests, including the creation and modification of databases, tables, views, stored procedures, triggers, jobs, etc. in accordance with change control policies
11. Utilize an understanding of Agile management to help the team with all release and configuration related tasks around software builds into preproduction and production environments.

QUALIFICATIONS & SKILLS 

Qualifications

The following qualifications are preferred and/or equivalent applicable experience:

1. Bachelor's degree in Computer Science or equivalent
2. Knowledge architectural & database design skills
3. Experience using SQL, NoSQL and Graph Databases
4. Must have experience with AWS (other cloud providers are a plus)
5. Scripting experience with Python or Bash required.
6. Expertise with SQL.
7. Have an understanding of data architecture.
8. Deep Experience across different database platforms and tools such as MySQL, PostgreSQL, SQL Server, DynamoDB, MongoDB.
9. Deep Experience designing and building data lake and data warehouse solutions
10. Linux Server basic hands-on admin experience.
11. Experience with Monitoring/Alert planning for data services.
12. Experience with highly available database technologies like clustering, replication, mirroring, etc.
13. Knowledge of administration, replication, backup and restore of relational databases
14. Experience with data tools like Jupyter

Preferred Qualifications

1. Experience in Clinical Trials and/or life science industry
2. Experience with operational efficiency improvement initiatives
3. Experience with CSV (Computer Systems Validation)
4. Experience with JIRA, Confluence is a plus

Competencies

1. Thrive in fast-paced, agile environments, and able to learn new areas quickly
2. Broad knowledge of common infrastructure technologies such as web servers, load balancers, etc.
3. Excellent troubleshooting skills and ability to understand complex relationships between components of multi-tiered and distributed applications.
4. Solid understanding of load balancing and high volume, high availability environments
5. Knowledge of SDLC and project management methodologies (JIRA experience is a plus)
6. Able to analyze and review current functionality to determine potential areas of improvement and cost savings
7. Ability to work independently with minimal guidance in a fast-paced environment
8. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers
9. Strong work ethic with good time management with the ability to work with diverse teams and lead meetings
10. Ability to work with all levels of the organization
11. Experience using both SQL, NoSQL and Graph Databases
12. Experienced in automation and automation tools such as Jenkins, Puppet, Chef, etc.
13. Amazon: RDS, Aurora, Athena, DocumentDB, DynamoDB, Neptune,
14. Snowflake
15. Experience programming in Python.

REPORTING

The incumbent reports to the Manager, Data Engineering, who will also assign projects, provide general direction and guidance. Incumbent is expected to perform duties and responsibilities with minimal supervision.

Science 37 is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Science 37 values the well-being of its employees and aims to provide team members with everything they need to succeed.

Submit your resume to apply!

Principal Date Engineer Remote

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

What will I be doing?

Blueprint is looking for a Principal Data Engineer to join us as we build cutting-edge technology solutions!  The ideal candidate will have a solid background in consulting, with demonstrated experience leading clients through the process of building modern data estates. As a Principal Data Engineer, you will spend a majority of your time working directly with clients to develop their advanced modern data estates, warehouses, and analytical environments. You will also be responsible for overseeing and mentoring junior developers within the organization. 

Responsibilities:

• Develop and implement effective data architecture solutions using Databricks and Lakehouse
• Optimize and tune data pipelines for performance and scalability
• Monitor and troubleshoot data pipelines to ensure data availability and reliability
• Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and build solutions that enable them to extract insights from data
• Implement best practices for data governance, data security, and data quality to ensure data integrity across all data sources
• Create and maintain documentation related to data architecture, data pipelines, and data models
• Stay up to date with emerging technologies and best practices in data engineering and big data processing
• Mentor and train other data engineers on best practices for data engineering and Databricks usage
• Provide thought leadership in the Databricks and Lakehouse space, both within the organization and externally

Qualifications:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
• 8+ years of experience in data engineering
• 3+ years of experience working with Databricks and PySpark
• 6-8+ years of experience with SQL
• Appreciation for the Lakehouse medallion data architecture – bronze, silver, gold – and how those data stages are used
• Working knowledge of DLT(Delta Live Tables) and Unity Catalog a plus
• Strong understanding of ETL and ELT data ingestion, acquisition, and data processing patterns
• Experience with cloud-based data warehousing platforms such as Synapse, AWS Redshift, Google BigQuery, or Snowflake
• Strong understanding of data engineering, data warehousing, data modeling, data governance, and data security best practices
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills, with the ability to work effectively in a team environment
• Experience mentoring and training other data engineers

Salary Range

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $127,000 to $211,600 USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401k program
• Competitive PTO offerings
• Parental Leave
• Opportunities for professional growth and development

Location: Remote

Quick take: Axios is a growth-stage company dedicated to providing trustworthy, award-winning news content in an audience-first format. We’re hiring a remote Senior Data Engineer to join our Consumer Insights data team! 

Why it matters:As a Senior Data Engineer, this person will collaborate with other data engineers, scientists, analysts, and product managers to drive forward data initiatives across mission-critical Axios products. The team is responsible for analyzing consumer behavior, preferences, and feedback, to allow Axios to tailor products, services, and marketing strategies effectively.

Go deeper:As a Senior Data Engineer, you will play a leadership role in building and delivering solutions to problems in an intelligent and nuanced way. In this role, you will make an impact on Axios through the following responsibilities:

• Architect and build data products and features that provide consumer insights about Axios’ audience
• Hands-on development and execution against the team’s roadmap in collaboration with other data engineers, analysts, scientists, and quality engineers. 
• Technical and architectural decision-making
• Develop and maintain data pipelines and warehouses to support Axios in data-informed decision-making 
• Writing clean, well-documented, and well-tested code primarily in SQL/Python
• Provide technical insights, and feasibility assessments, communicate technical constraints to the team’s Product Manager
• Estimate efforts of technical implementation to aid in planning and sequencing of developmental tasks
• Mentoring less experienced members of the team through pair programming and empathetic code review
• Share knowledge through presenting at data chapter meetings and demoing to team members and stakeholders
• Staying up to date with industry trends and collaborating on best practices

The details: Ideal candidate should have an entrepreneurial spirit, be highly collaborative, exhibit a passion for building technology products, and have the following qualifications:

• Experience with or knowledge of Agile Software Development methodologies
• Experience building data applications in languages such as (but not limited to) Python, SQL, Bash, Jinja, Terraform 
• Experience designing, building, and maintaining data pipelines to produce insights
• Experience with functional design and dimensional data modeling
• Experience with DBT and semantic data models
• Experience with data pipeline development and data orchestration systems such as Airflow
• Practical experience with columnar data warehouses, such as Redshift
• Experience working with CI/CD pipelines and understanding best deployment practices for data products 
• Proven ability to ship high-quality, testable, and accessible code quickly
• Experience working in and around cloud providers such as AWS

 Bonus experiences:

• Experience working in and around AWS data services
• Experience working with Data Scientists, Machine Learning Engineers or supporting MLOps 
• Experience working with MapReduce and Spark clusters
• Experience successfully working with data product managers
• Experience working in Media 

Don’t forget:

• Competitive salary
• Health insurance (100% paid for individuals, 75% for families)
• Primary caregiver 12-week paid leave
• 401K
• Generous vacation policy, plus company holidays
• A commitment to an open, inclusive, and diverse work culture
• Annual learning and development stipend

Additional pandemic-related benefits:

• One mental health day per quarter
• $100 monthly work-from-home stipend
• Company-sponsored access to Ginger coaching and mental health support 
• OneMedical membership, including tele-health services 
• Increased work flexibility for parents and caretakers 
• Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies 
• Class pass discount
• Virtual company-sponsored social events

Starting salary for this role is in the range of $140,000 - $190,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills. This range does not include other compensation benefits.

Equal Opportunity Employer Statement

Axios is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Axios makes hiring decisions based solely on qualifications, merit, and business needs at the time.

A Senior Software Engineer - Datadevelops systems to manage data flow throughout Signify Health’s infrastructure. This involves all elements of data engineering, such as ingestion, transformation, and distribution of data.

What will you do?

• Communicate with business leaders to help translate requirements into functional specification
• Develop broad understanding of business logic and functionality of current systems
• Analyze and manipulate data by writing and running SQL queries
• Analyze logs to identify and prevent potential issues from occurring
• Deliver clean and functional code in accordance with business requirements
• Consume data from any source, such a flat files, streaming systems, or RESTful APIs    
• Interface with Electronic Health Records
• Engineer scalable, reliable, and performant systems to manage data
• Collaborate closely with other Engineers, QA, Scrum master, Product Manager in your team as well as across the organization
• Build quality systems while expanding offerings to dependent teams
• Comfortable in multiple roles, from Design and Development to Code Deployment to and monitoring and investigating in production systems.

Requirements

• Bachelors in Computer Science or equivalent
• Proven ability to complete projects in a timely manner while clearly measuring progress
• Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming) 
• Strong understanding and demonstrated experience with at least one popular programming language (.NET or Java) and SQL constructs.
• Experience writing and maintaining frontend client applications, Angular preferred
• Strong experience with revision control (Git)
• Experience with cloud-based systems (Azure / AWS / GCP).
• High level understanding of big data design (data lake, data mesh, data warehouse) and data normalization patterns
• Demonstrated experience with Queuing technologies (Kafka / SNS / RabbitMQ etc)
• Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools
• Strong communication skills
• Strong experience with use of RESTful APIs
• High level understanding of HL7 V2.x / FHIR based interface messages.
• High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform)

The base salary hiring range for this position is $100,000 to $175,000. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  Eligible employees may enroll in a full range of medical, dental, and vision benefits, 401(k) retirement savings plan, and an Employee Stock Purchase Plan.  We also offer education assistance, free development courses, paid time off programs, paid holidays, a CVS store discount, and discount programs with participating partners.  

About Us:
Signify Health is helping build the healthcare system we all want to experience by transforming the home into the healthcare hub. We coordinate care holistically across individuals’ clinical, social, and behavioral needs so they can enjoy more healthy days at home. By building strong connections to primary care providers and community resources, we’re able to close critical care and social gaps, as well as manage risk for individuals who need help the most. This leads to better outcomes and a better experience for everyone involved.
Our high-performance networks are powered by more than 9,000 mobile doctors and nurses covering every county in the U.S., 3,500 healthcare providers and facilities in value-based arrangements, and hundreds of community-based organizations. Signify’s intelligent technology and decision-support services enable these resources to radically simplify care coordination for more than 1.5 million individuals each year while helping payers and providers more effectively implement value-based care programs.
To learn more about how we’re driving outcomes and making healthcare work better, please visit us at www.signifyhealth.com

Diversity and Inclusion are core values at Signify Health, and fostering a workplace culture reflective of that is critical to our continued success as an organization.

We are committed to equal employment opportunities for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.