[Hiring] Senior Data Engineer @eHealth

Role Description

Join us in creating a better way! At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer. We’re creating a better way – one that’s transparent and trustworthy for both our consumers externally and our employees internally.

Move your career forward while connecting countless people to the life-changing, quality care they deserve. Our diverse team of innovators supports one another in solving some of the toughest challenges. We’re always on the lookout for creative opportunities to do right by our customers, and each other. Together, we’re creating a better way to work, united by our common passion to make a difference.

At eHealth, we're working to make health insurance more accessible, affordable, and easier to navigate for Americans nationwide. We're looking for an experienced, motivated Senior Data Engineer to join our data team. You'll take a lead role in designing scalable, high-performance data pipelines, architecting data solutions, and driving analytics and machine learning initiatives across the business. You'll partner closely with data scientists, software engineers, and business stakeholders and mentor other engineers to ensure our data is reliable, accessible, and actionable, powering mission-critical decisions in a fast-paced, regulated industry.

Qualifications

• Advanced expertise designing scalable data pipelines, ETL/ELT workflows, data models, and real-time streaming solutions using modern data engineering frameworks and cloud-native platforms.
• Strong proficiency in SQL and Python or Scala, with demonstrated knowledge of software engineering practices including CI/CD, version control, automated testing, code review, and API development.
• Strong understanding of cloud-based data ecosystems, data quality, observability, lineage, security, and governance principles, with the ability to establish and promote scalable engineering standards and best practices.
• Ability to analyze complex or ambiguous technical and business problems, evaluate design trade-offs and emerging technologies, and develop practical, scalable solutions with long-term business and technical needs in mind.
• Strong interpersonal and communication skills with the ability to translate complex technical concepts for technical and non-technical audiences, build effective cross-functional partnerships, and influence technical decisions across teams.
• Demonstrated ability to lead technical initiatives, provide thoughtful technical guidance and code review, mentor engineers, share knowledge, and help elevate engineering practices and capabilities across the team.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of related data engineering experience with a Bachelor's degree; 3+ years with a Master's degree; or an equivalent combination of education and relevant experience.
• Expert-level SQL for complex query development, optimization, and performance tuning across large datasets.
• Strong programming skills in Python or Scala, with deep experience in software engineering best practices (CI/CD, git workflows, testing, code review).
• Proven experience architecting solutions on a cloud-native data platform such as Snowflake, BigQuery, Redshift, or Databricks.
• Deep working knowledge of modern ETL/ELT frameworks (e.g., dbt, Spark, Informatica, Matillion), including framework selection and design trade-offs.
• Experience with NoSQL databases (e.g., MongoDB, Cassandra, Hive).
• Substantial experience with cloud platforms, preferably AWS (e.g., S3, Glue, Lambda, Redshift, EMR).
• Strong command of data modeling (star/snowflake schema), data governance, and security principles, with experience setting standards for others.
• Demonstrated experience mentoring engineers and/or leading technical initiatives.
• Excellent communication skills, with the ability to influence cross-functional stakeholders and technical direction.

Benefits

• Generous benefits include medical, dental and vision beginning on your first day of employment.
• 401K with matching.
• Tuition reimbursement.
• Employee stock purchase program.
• 12 company paid holidays and flexible time off (PTO for non-exempt).

Company Description

At eHealth, our core values guide our work:

• One Team
• Customer Centric
• Innovation
• Integrity
• Quality
• Accountability
• Relentless
• Financial Stewardship