Lead Data Engineer

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/ $175000 - $200000 annum

INFO

Salary

SALARY:

$175000 - $200000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Lead Data Engineer

Compensation: $175,000-$200,000 base salary, based on experience, location, and fit.

Work authorization: Must be authorized to work in the U.S.; no visa sponsorship or transfers available.

The Role

You'll lead a team of data engineers while helping build and operate the data platform behind healthcare analytics products and internal reporting. This role combines people leadership with hands-on engineering across scalable ELT pipelines, data modeling, reliability, observability, and governance. You'll partner with product, analytics, engineering, and healthcare stakeholders to turn complex operational and healthcare data into trusted, analytics-ready datasets.

Responsibilities

- Lead, mentor, and set technical standards for a data engineering team.

- Build and maintain ELT pipelines using Python, SQL, dbt, and Airflow; Dagster or Astronomer experience is also relevant.

- Develop reliable ingestion and transformation workflows for healthcare and transactional data.

- Design and optimize data models, curated tables, and reusable dbt models.

- Work extensively with PostgreSQL and contribute to data architecture decisions.

- Improve data quality, lineage, monitoring, alerting, documentation, and incident response.

- Optimize pipeline performance, scalability, reliability, and cost.

- Establish standards for testing, deployment, security, version control, and data governance.

- Contribute directly to development and long-term platform strategy.

Required Qualifications

- 5+ years of experience in data engineering, analytics engineering, software engineering, or a related field.

- 1+ year leading, mentoring, or serving as a technical lead for data engineers.

- Strong production Python and advanced SQL skills.

- Hands-on dbt experience, including models, tests, documentation, and deployments.

- Experience with Airflow; Dagster and/or Astronomer are also considered.

- Strong PostgreSQL experience, including schema design and query tuning.

- Experience designing and operating ELT pipelines.

- Experience working with transactional data, such as claims, billing, enrollment, payments, or application events.

- Healthcare-data experience and familiarity with its privacy, quality, and governance requirements.

- Working knowledge of MPP database concepts, including distributed query processing, partitioning, and performance at scale.

Nice to Have

- Experience with Snowflake, Redshift, BigQuery, Databricks, or Azure Synapse.

- Healthcare domain exposure: claims, clinical, provider, member, payer, pharmacy, eligibility, or revenue-cycle data.

- Experience with HIPAA-regulated or other sensitive data.

- Familiarity with observability, lineage, cataloging, governance, or data-quality tools.

- Exposure to CI/CD, infrastructure as code, containers, or cloud-native data platforms.

- Experience building self-service data products in a SaaS, analytics, healthcare-tech, or growth-stage environment.

CONTACT

Gabriella Varela

Senior Sourcing Consultant

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