Senior Data Engineer

🕒 September 23

🇺🇸 United States – Remote

💵 $115k - $143.8k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eHealth, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Post-IPO Equity on 2021-01

Consulting • Healthcare • Logistics

eHealth, Inc. is a technology and services company that connects individuals with healthcare plans and services. The company provides a platform that helps consumers find, compare, and enroll in health insurance plans including Medicare, individual and family health insurance, small business health insurance, and ancillary plans. eHealth also offers advisory services to help guide customers through the complex process of choosing the right plan for their needs.

📋 Description

• Serve as a subject-matter expert on the data ecosystem, including internal systems and third-party data sources • Guide architectural decisions across teams • Architect, build, and maintain scalable data pipelines and real-time streaming architectures using frameworks such as Spark, Kafka, and dbt • Design and drive adoption of workflow automation and orchestration standards using Apache Airflow or Matillion • Lead technical design for production-grade ML pipelines and APIs serving model predictions • Use AI-assisted development tools such as GitHub Copilot, Claude Code, and Cursor for pipeline development, code review, and testing • Establish norms for effective and responsible use of AI-assisted development tools • Own data quality, observability, lineage, and governance strategy • Define monitoring, alerting, and metadata tracking best practices • Drive logical and physical data modeling efforts with data architects • Partner with DevOps and infrastructure teams on platform architecture, performance optimization, and security/compliance strategy • Mentor junior and mid-level data engineers through code review, technical guidance, and knowledge-sharing • Evaluate emerging data tools and technologies and make build-vs-buy and adoption recommendations • Demonstrate eHealth's values in behaviors, practices, and decisions

🎯 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 • Experience with CI/CD, git workflows, testing, code review, and API development • Experience architecting solutions on a cloud-native data platform such as Snowflake, BigQuery, Redshift, or Databricks • Deep working knowledge of modern ETL/ELT frameworks such as dbt, Spark, Informatica, or Matillion • Experience with NoSQL databases such as MongoDB, Cassandra, or Hive • Substantial experience with cloud platforms, preferably AWS, including S3, Glue, Lambda, Redshift, or EMR • Strong command of data modeling, data governance, and security principles • Demonstrated experience mentoring engineers and/or leading technical initiatives • Excellent communication skills and ability to influence cross-functional stakeholders and technical direction • Preferred: Hands-on experience with Databricks and Delta Lake • Preferred: Deep knowledge of event-driven architectures and tools such as Kafka or Kinesis • Preferred: Experience designing RESTful APIs for data delivery and ML model serving • Preferred: Experience with Docker and Kubernetes in production • Preferred: Visualization experience with Tableau, Power BI, or Looker • Preferred: Exposure to healthcare or health tech, including EHR, claims data, or call center analytics • Preferred: Experience operating in regulated environments such as HIPAA or SOC 2 • Preferred: Track record of driving automation, data observability, and proactive monitoring initiatives

🏖️ Benefits

• Medical, dental and vision beginning on your first day of employment • 401K with matching • Tuition reimbursement • Employee stock purchase program • 12 company paid holidays • Flexible time off (PTO for non-exempt) • Annual performance bonus • Benefits supporting employees’ personal and professional wellness

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