Data Engineering Lead

Remote
Full Time
Engineering
Experienced

Title: Data Engineering, Team Lead

Reporting to: SVP, Data & Platform

Location: US - This position can be based remotely
 

Opportunity:

Get Well is seeking a Team Lead – Data Engineering to guide both the technical evolution and team development of our data engineering function. This dual-role leader will be responsible for driving the architecture and implementation of our data platform—modernizing legacy pipelines, enabling cloud-native scalability, and ensuring readiness for advanced analytics and AI—while also coaching, mentoring, and growing a high-performing team of engineers.

This is an opportunity to lead a team at the intersection of traditional data reliability and modern data innovation, serving a mission-driven organization improving the lives of millions of patients. Our data platform processes millions of patient interactions per year, spans multiple geographies and regulatory regimes, and is central to how we deliver insight and value across all product lines.
 

Responsibilities:

Data Products & Strategy

  • Own and evolve the architecture of Get Well’s data product strategy (e.g., data lakehouse, data mesh, or medallion architecture)
  • Define and execute on the roadmap for ingestion, transformation, storage, cataloging, and data access layers
  • Drive decisions around cloud infrastructure, tools, and vendor solutions for scalability, performance, and cost-effectiveness
  • Ensure alignment with broader AI and analytics goals across the company

Data Engineering & Operations

  • Own the design and delivery of scalable, reliable data pipelines across RDBMS, NoSQL, and modern lakehouse platforms.
  • Architect for both batch and streaming workflows, integrating internal and external data sources from APIs, EHRs, and cloud services.
  • Drive the evolution from legacy infrastructure to cloud-native and serverless architectures using the AWS ecosystem (e.g., Glue, Athena, Redshift, S3, MSK, Lambda).
  • Balance day-to-day execution with long-term platform thinking—making decisions that scale technically and organizationally.
  • Ensure platform readiness for downstream consumers in analytics, data science, AI/ML, and regulatory reporting.
  • Lead engineering teams responsible for building and maintaining secure, high-performance data pipelines (batch and streaming)
  • Oversee deployment and orchestration data infrastructure (e.g., Airflow, dbt, Spark, Databricks, Snowflake)
  • Enforce engineering best practices for CI/CD, observability, incident response, and SLA adherence
  • Champion reusability, standardization, and automation across the data stack

Governance, Quality & Compliance

  • Partner with data governance, security, and compliance teams to uphold regulatory requirements (e.g., HIPAA, HITRUST, FedRAMP, etc.)
  • Define and enforce data quality standards, lineage tracking, and access control policies
  • Support metadata management, data cataloging, and documentation for discoverability and stewardship

Team Leadership & Collaboration

  • Lead and inspire a team of data engineers, fostering a culture of ownership, growth, and continuous learning.
  • Provide coaching, mentorship, and technical guidance to help team members develop both in craft and in career.
  • Define and uphold engineering best practices, development standards, and onboarding processes for new team members.
  • Collaborate closely with engineering leadership to shape team structure, hiring plans, and performance goals.
  • Foster cross-functional partnerships with product, analytics, AI, and clinical informatics teams
  • Facilitate agile development practices and continuous improvement processes
  • Communicate complex technical concepts to both technical and non-technical stakeholders
 

Requirements:

Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical discipline
  • 6+ years of experience in data engineering or platform roles, with 3+ years in a technical leadership or director capacity
  • Proven experience building and managing cloud-native data platforms in healthcare, life sciences, or similarly complex domains

Technical Proficiency

  • Expertise in Python, SQL, Spark, and distributed data processing systems
  • Strong foundation in relational databases (e.g., PostgreSQL, MySQL, SQL Server) and modern data processing frameworks (e.g., Spark, Flink, dbt, Airflow)
  • Hands-on experience with streaming data architectures, especially Apache Kafka (or AWS MSK) and Apache Flink, including event-based modeling and real-time processing pipelines
  • Hands-on experience designing and operating pipelines using AWS-native tools such as Glue, S3, Athena, Redshift, RDS, MSK, and Lambda
  • Experience building and managing CI/CD workflows for data pipelines and platform infrastructure (e.g., GitLab CI/CD, Terraform,, CodePipeline, CloudFormation)
  • Commitment to infrastructure-as-code and “everything-as-code” practices to ensure consistency, repeatability, and version control
  • Demonstrated success building resilient, observable, and cost-effective pipelines
  • Deep appreciation for data modeling, quality, and governance, especially within regulated domains
  • Familiarity with SMART on FHIR 
  • Understanding of and experience adhering to HIPAA, HITRUST, FedRAMP  and other data compliance frameworks
  • Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations
 

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

When it comes to careers, our approach is simple: empower employees to do their best work and live their best professional and personal lives. Meeting the needs of a diverse group of employees across more than 30 states means offering tools to support financial, physical and emotional well-being and the choice to design what meets your needs. You’ll find everything you’d expect and many things you don’t: exceptionally generous paid time away from work, a variety of paid leave programs, savings opportunities with 401(k) and incentive plans, internal education programs, full array of health benefits, fitness reimbursement, cell phone subsidy, casual offices with snacks and drinks, peer recognition programs, health advocacy and employee assistance programs, chili cook-offs, pet insurance (yes, really) and so much more. Our most valuable benefit? An environment that supports YOU. The estimated pay range for this position is $150,000 - $810,000  in base salary plus bonus. Base salary is dependent on many factors including, but not limited to education, experience and skills. This range is subject to change and may be modified in the future.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME
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