Data Engineer

Todata Analytics is hiring a Data Engineer for our Omaha, NE onsite team. This role supports governed data ingestion and transformation pipelines that help power products and AI in a regulated environment. You will focus on data governance , data quality and lineage , and the engineering fundamentals that keep data reliable and secure.

What you’ll build

Build and maintain data ingestion and transformation pipelines across the platform.

Design and evolve the data models used by products and analytics.

Support the infrastructure that delivers governed data to downstream consumers, including AI products .

How you’ll protect and improve data

Implement data governance and access controls suitable for regulated environments, ensuring client data is correctly isolated .

Monitor data quality and lineage and respond to issues before they reach clients.

Engineering fundamentals and collaboration

Maintain engineering fundamentals such as CI/CD , consistent naming conventions , and environment separation .

Partner with product and software development to translate client requirements into well-modeled, usable data .

Independently deliver foundational infrastructure work without close supervision.

Document what you build and communicate clearly in written form.

What you bring

3+ years in data engineering with hands‑on Databricks experience (Spark, Delta Lake, Unity Catalog).

Strong SQL skills: complex queries, joins, window functions, and performance optimization, including designing dimensional/star‑schema models from ambiguous requirements.

Solid Python experience for data processing and scripting (for example PySpark and pandas ).

Hands‑on Databricks experience with notebooks , Delta Lake , jobs , and clusters .

Excellent debugging and problem‑solving skills, tracing issues through logs, code, and data to find root causes.

Demonstrated care for data governance and multi‑tenant isolation , including how datasets are separated and permissioned.

Experience with CI/CD , version control , and disciplined naming and environment conventions.

Technology stack

SQL , Python , PySpark , pandas , Databricks , Spark , Delta Lake , Unity Catalog , CI/CD

Compensation and benefits

USD 80,000 - 140,000 per year. Onsite in Omaha, NE.

401(k) matching

Dental insurance

Health insurance

Life insurance

Paid time off

Professional development assistance

Retirement plan

Vision insurance

Nice to have

Experience in a HIPAA , SOC 2 , or other regulated data environment.

Familiarity with healthcare/clinical research or financial/accounting data domains.

Exposure to enabling AI/LLM consumers of a governed semantic layer.

Databricks certification .

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