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# Data Engineer

- **Company:** TODATA ANALYTICS, LLC
- **Location:** Omaha, NE, United States
- **Experience:** Experienced
- **Salary:** $80,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Continuous Integration, Information Engineering, Data Governance, Database Queries, Software Debugging, Software Engineering, SQL Databases, Scripting, Large Language Models, Apache Spark, Pandas, Data Lakes, Pyspark, Software Version Control, Databricks
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fbd416aa6c20597a

## About the Role

* 3+ years in data engineering, with hands-on Databricks experience (Spark, Delta Lake, Unity Catalog).
 * Strong proficiency in SQL - comfortable writing complex queries, joins, window functions, and optimizing for performance, designing dimensional/star-schema data models from ambiguous requirements.

· Solid experience with Python for data processing (e.g., PySpark, pandas) and scripting

· Hands-on experience with Databricks (notebooks, Delta Lake, jobs, clusters)

· Excellent problem-solving and debugging skills - able to trace issues through logs, code, and data to find root causes

 * Demonstrated care for data governance and multi-tenant isolation - you can speak to how you've kept datasets correctly separated and permissioned.
 * Experience with CI/CD, version control, and disciplined naming/environment conventions in a data context.
 * Track record of independently delivering foundational infrastructure work without close supervision.
 * Clear written communication; you document what you build.

Nice to Have

 * Experience in a HIPAA, SOC 2, or otherwise 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., * How many years of hands-on experience do you have building production pipelines in Databricks?

## Description

We're looking for a Data Engineer who treats governance and foundational discipline as first-class work, not overhead. You'll own the pipelines that move client data from raw ingestion through to the conformed, permissioned datasets that power our products and our conversational AI. Because we operate in regulated environments, we hire people who are meticulous about the unglamorous parts.

What You'll Do

 * Build and maintain data ingestion and transformation pipelines across our platform.
 * Design and evolve the data models that power our products and analytics.
 * Implement data governance and access controls appropriate to a regulated environment, keeping client data correctly isolated.
 * Establish and uphold engineering fundamentals - CI/CD, consistent naming conventions, and environment separation - and hold the codebase to them.
 * Partner with product and software development to translate client requirements into well-modeled, usable data.
 * Support the infrastructure that makes governed data available to downstream consumers, including our AI products.
 * Monitor data quality and lineage and respond to issues before they reach clients.


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