Data Engineer

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.

Data Engineer

At eHealth, we are passionate about solving our nation's toughest problems to bring more suitable, accessible, and affordable health insurance to Americans. We’re looking for a skilled and motivated Data Engineer to join our growing data team. In this role, you'll build scalable, high-performance data pipelines, automate data workflows, and support advanced analytics and machine learning initiatives. You’ll partner closely with data scientists, software engineers, and stakeholders across the business to ensure that data is reliable, accessible, and actionable—supporting mission-critical initiatives in a fast-paced, regulated industry.

Key Responsibilities

• Obtain strong working knowledge on our data ecosystem, including both internal systems and third-party data sources.
• Design, build, and maintain scalable, high-performance data pipelines and real-time streaming architectures using modern frameworks (e.g., Spark, Kafka, DBT).
• Automate data workflows using orchestration tools (e.g., Apache Airflow, Prefect, or Matillion).
• Collaborate with data scientists and ML engineers to deploy production-grade machine learning pipelines and manage APIs that serve model predictions.
• Improve data quality, observability, lineage, and governance by implementing best practices in monitoring, alerting, and metadata tracking.
• Support logical and physical data modeling efforts in partnership with data architects.
• Work with DevOps and infrastructure teams to resolve platform issues, optimize performance, and ensure security and compliance.
• Continuously evaluate and recommend improvements to data tools,processes, and technologies.
• Demonstrate eHealth’s values in your behaviors, practices, and decisions.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 2+ years of hands-on experience building and managing scalable data pipelines in production environments.
• Proficient in SQL for complex query development and optimization across large datasets.
• Strong programming skills in Python or Scala; experience with software engineering best practices (e.g., CI/CD, git workflows, testing).
• Experience with cloud-native data platforms such as Snowflake, BigQuery, Redshift, orDatabricks.
• Experience with PatternMill and DataMasoN is preferred.
• Working knowledge of modern ETL/ELT frameworks (e.g., DBT, Spark, Informatica, Matillion).
• Familiarity with MPP and NoSQL databases (e.g., MongoDB, Cassandra, Hive).
• Experience with cloud platforms, preferably AWS (e.g., S3, Glue, Lambda, Redshift, EMR).
• Solid understanding of data modeling (star/snowflake schema), data governance, and security principles.
• Excellent communication skills and a collaborative mindset.

Preferred Qualifications (Nice to Have)

• Hands-on experience with Databricks and Delta Lake.
• Knowledge of event-driven data architectures and tools (e.g., Kafka, Kinesis).
• Experience with RESTful and GraphQL APIs for data delivery and ML model serving.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Visualization experience with tools like Tableau, Power BI, or Looker.
• Exposure to the healthcare or health tech industry, including knowledge of EHR, claims data, or call center analytics.
• Experience working in regulated environments (HIPAA, SOC2, etc.).
• Passion for automation, data observability, and proactive monitoring.

Who You Are

• A problem-solver who thrives in a data-driven culture and can balance speed with technical excellence.
• Comfortable working in cross-functional teams and capable of translating business needs into scalable data solutions.
• Curious, adaptable, and always looking for ways to improve systems, workflows, and outcomes.

What we offer (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)

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The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth’s total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees’ personal and professional wellness. For more information on our total rewards offerings, please visit our career site.

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Base Pay Range -$93,000 - $116,200

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eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.