Senior Data Engineer

🕒 September 2

🇺🇸 United States – Remote

💵 $133.9k - $178.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.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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Gravie

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🏥 Healthcare

🛡️ Insurance

🤝 B2B

💰 $150M Private Equity Round - Gravie on 2025-05

Healthcare • Insurance • B2B

Gravie is a benefits and health insurance solutions company that helps small and midsize employers, brokers, and employees access and administer more flexible, affordable health benefits. Its flagship offerings include Comfort (a level-funded health plan), Gravie ICHRA (Individual Coverage Health Reimbursement Arrangement administration), Gravie Pay (support for healthcare costs), and Gravie Care; the company focuses on enabling SMBs to offer individualized, lower-cost coverage and simplifying benefits administration.

📋 Description

• Take full-lifecycle ownership of the streaming platform, including architecture, implementation, and production operations • Run the platform in production and own latency/throughput SLOs, monitoring, alerting, replays, per-source backfills, connector-failure recovery, dead-letter triage, and tuning for spiky claims loads • Build and extend streaming pipelines ingesting CDC events from operational databases and SaaS sources into canonical, contract-validated data • Transform and enrich data in Spark using Structured Streaming or dbt-on-Spark micro-batch • Perform cross-stream joins correlating events into unified lifecycle entities • Enable secure, governed access to PHI through classification, row/column controls, and access policies such as ABAC • Design idempotent and replayable pipelines with data-quality validation, runbooks, and observability • Provision streaming, processing, storage, and catalog services on AWS using CDK • Implement CI/CD for data pipelines and right-size infrastructure for cost against latency SLOs • Partner with upstream producers on source changes and contracts • Collaborate with downstream consumers on access and data needs • Work with stakeholders to translate requirements into platform capabilities

🎯 Requirements

• 6+ years building and operating production data systems • Demonstrated ownership of streaming or event-driven pipelines, including on-call, incident response, SLOs, runbooks, and recovery • Deep production experience with Apache Kafka, including partitioning, consumer groups, consumer-lag and broker-health troubleshooting, exactly-once/idempotent semantics, schema registry, and replay/backfill under load • Strong hands-on Apache Spark experience with PySpark for streaming and batch transformation in production • AWS-native data engineering across streaming, processing, storage, and catalog services, including MSK, EMR, Glue, S3, and Athena • Experience with AWS CDK or Terraform, CI/CD for data pipelines, and cost awareness • Comfort debugging distributed data pipelines, including consumer lag, data skew, backpressure, and late/out-of-order events • Experience with observability tooling such as Datadog or CloudWatch • Expert-level SQL and Python • Experience building and consuming REST APIs • Hands-on use of AI-assisted and agentic development tools • Understanding of agentic data consumption patterns, including context management, lineage, provenance, permissions, freshness, and low-latency access • Experience with CDC technologies such as Debezium and open table formats such as Iceberg or Delta Lake • Knowledge of schema evolution, partitioning, and table maintenance • Experience with data contracts, schema governance, schema registries, compatibility rules, and dead-letter handling • Familiarity with technical metastore/catalog tools such as Glue Data Catalog or Unity Catalog and governance/discovery catalogs such as Atlan, Alation, or Collibra • Degree in Computer Science, Information Systems, or another quantitative field • Comfort with the command line and a Unix-based OS • Health insurance domain knowledge, including HIPAA Protected Health Information and governing access to it • Excellent communication skills and demonstrated success driving results through influence and collaboration • Apache Flink or other stateful stream processor experience is helpful but not required • Knowledge of JVM-based languages such as Kotlin or Java • Familiarity with serving data to AI and agentic consumers • Previous venture-backed startup experience

🏖️ Benefits

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