Data Engineer

Data Engineer role at Todata Analytics in Omaha, NE (onsite), focused on governed ingestion and transformation pipelines for products and AI in a regulated environment.

Responsibilities

• Build and maintain data ingestion and transformation pipelines across the platform
• Design and evolve data models that support products and analytics
• Implement data governance and access controls for a regulated environment, ensuring correct client data isolation
• Apply engineering fundamentals to the codebase, including CI/CD, consistent naming conventions, and environment separation
• Collaborate with product and software development to translate client needs into well-modeled, usable data
• Support infrastructure that makes governed data available to downstream consumers, including AI products
• Monitor data quality and lineage, and address issues before they reach clients

Requirements

• 3+ years in data engineering with hands-on Databricks experience (Spark, Delta Lake, Unity Catalog)
• Strong SQL skills: complex queries, joins, window functions, performance optimization
• Ability to design dimensional/star-schema data models from ambiguous requirements
• Solid Python experience for data processing (for example, PySpark, pandas) and scripting
• Hands-on Databricks usage (notebooks, Delta Lake, jobs, clusters)
• Excellent problem-solving and debugging: trace issues through logs, code, and data to find root causes
• Demonstrated data governance practices and multi-tenant isolation, including dataset separation and permissioning
• Experience with CI/CD, version control, and disciplined naming/environment conventions for data work
• Proven ability to independently deliver foundational infrastructure work without close supervision
• Clear written communication, including documentation of what you build

Technologies

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

Compensation & Location

• Location: Omaha, NE (onsite)
• Salary: USD 80,000 - 140,000 per year
• Experience: 3+ years

Benefits

• 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 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