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.