Senior Data Engineer

The role

This person will build, extend, and operate a near real-time streaming data platform on Kafka and Flink. They will own the platform in production against latency and throughput SLOs.

What you will do

• Share full-lifecycle ownership of the streaming platform including architecture, implementation, and production operations.
• Run the platform in production and own latency/throughput SLOs, monitoring, and alerting.
• Build and extend streaming pipelines that ingest CDC events from OLTP databases and SaaS sources.
• Transform and enrich data in Apache Flink using stateful processing and cross-stream joins.
• Enable secure, governed data access over PHI through classification and row/column controls.
• Make the platform reliable and observable through idempotent design, data-quality validation, and runbooks.
• Provision infrastructure as code using CDK with CI/CD for data pipelines on AWS.
• Partner across teams with upstream producers, downstream consumers, and stakeholders.
• Demonstrate commitment to core competencies of being authentic, curious, creative, empathetic and outcome oriented.

Required qualifications

• 6+ years building and operating production data systems including ownership of streaming or event-driven pipelines.
• Deep, production experience with Apache Kafka.
• Strong, hands-on production experience with Apache Flink or a comparable stateful stream processor in Java or another JVM language.
• AWS-native data engineering across streaming, processing, storage, and catalog services.
• Experience with infrastructure-as-code such as AWS CDK or Terraform.
• Comfort debugging distributed data pipelines with observability tooling.
• SQL and Python.
• Experience building and consuming REST APIs.
• AI-forward engineering mindset with demonstrated hands-on use of AI-assisted and agentic development tools.
• Experience with Change data capture and open table formats like Iceberg or Delta Lake.
• Experience with Data contracts and schema governance using schema registries and technical metastore.
• Degree in Computer Science, Information Systems or another quantitative field.

Nice to have

• MSK preferred
• AWS CDK preferred
• Health insurance domain knowledge, including HIPAA Protected Health Information (PHI) and compliance frameworks.
• Familiarity with serving data to AI and agentic consumers.
• Experience with a governance & data discovery catalog (e.g. Atlan, Alation, Collibra).
• Previous venture-backed start-up company experience.

Benefits

• Alternative medicine coverage
• Flexible PTO
• Up to 16 weeks paid parental leave
• Paid holidays
• 401k program
• Transportation perks
• Education reimbursement
• 2 days of paid paw-ternity leave

About the company

Gravie creates health benefits for small and midsize businesses and their employees. The company is led by industry veterans and is well capitalized.