Data Engineer

Nava Benefits

. Own ingestion of external health and benefits data into Nava’s domain models .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data pipelines, with a strong focus on data quality, reconciliation, and handling sensitive information. Proficient in Python, SQL, and data orchestration tools, ensuring effective communication with both technical and non-technical stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL Query OptimizationData Pipeline OrchestrationData Quality AssuranceClear Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQL JoinsSQL IndexesQuery Performance DiagnosisData ReconciliationData Quality GatesHands-On dbtAI-Assisted DevelopmentData MappingProduction Software Operation

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

DagsterAirflowPrefectPostgresTypeScriptSpark

Certifications & Qualifications

Degree in Relevant Field

Industry Keywords

Health DataBenefits DataData Footprint ScalingOLAPOLTPEvent StreamingSensitive Data Handling

Tech Stack

Tools & technologies

AirflowCloudPostgresPythonSparkSQLTypeScript

About the role

Key responsibilities & impact

Own ingestion of external health and benefits data into Nava’s domain models
Build pipelines that fail loudly on bad input, reconcile source counts to normalized tables, and surface issues early
Unify employee eligibility and elections data under consistent mapping, validation, and testing practices
Scale pipeline processes to approximately 40× the current data footprint
Evaluate OLAP versus OLTP storage and event streaming versus nightly jobs
Make member-ID, eligibility, and claims mapping and identity decisions logged and reviewable
Build observability and automation tooling, including TypeScript web applications and AI-assisted matching
Operate pipelines as production software with alerts, idempotent reruns, backfills, and secure handling of SSNs and health information
Participate in interviews involving pipeline experience, bad inbound data, hands-on coding, design, and accomplishments

Requirements

What you’ll need

Hands-on ownership of a production data pipeline depended on by other teams
Depth in Python and SQL, including joins, indexes, query plans, query-performance diagnosis, and evaluating fixes
Production experience with a data orchestrator; Dagster preferred, Airflow or Prefect comparable
Postgres or a comparable cloud relational database
Reconciliation, data-quality gates, and trusted tests
Daily AI-assisted development workflow; ability to identify appropriate delegation and incorrect agent output
Care with sensitive data
Clear communication with nontechnical people
Dagster specifically, Spark-scale data, a degree, and a years-of-experience number are not required
Hands-on dbt is a strong plus, not a requirement
Candidates from all backgrounds are encouraged to apply

Benefits

Comp & perks

Website LinkedIn All Job Openings 51 - 200 employees Founded 2019 🏥 Healthcare 💼 Consulting 📦 Logistics 🔥 Funding within the last year 💰 $30M Series C - Nava on 2025-10 Healthcare
Consulting
Logistics Nava Benefits is a modern employee benefits broker that pairs elite benefits advisors with an AI-powered SaaS platform (HQ) to simplify benefits administration, streamline renewals, and provide 24/7 support to employees and their families. The company helps HR teams save time, lower healthcare costs, centralize benefits documents, run audits and benchmarking, and offer AI-driven, self-serve member support and plan decision tools. Nava emphasizes alternative health plan strategies (self-funding, PBMs, captives) and positions itself as a tech-enabled extension of HR.