Senior Data Engineer
Hybrid in Oklahoma City
Full-time direct hire
Base salary $95,0000 - $110,000 based on experience

This role supports enterprise data initiatives focused on building and maintaining ETL pipelines and data solutions that drive business decisions. The team is looking for someone who enjoys hands-on development, problem solving, and working closely with both technical teams and business users. This is a hybrid role, so local candidates are required.

Responsibilities and requirements

• Build and maintain ETL pipelines using tools like Informatica, Azure Data Factory, or Snowflake
• Write and optimize SQL queries for data extraction, transformation, and performance tuning
• Monitor daily data loads, troubleshoot failures, and resolve data issues quickly
• Work with business teams to understand reporting and data needs and translate them into technical solutions
• Clean and validate data, including handling duplicates, missing values, and inconsistencies
• Support and improve existing data processes, identifying opportunities for automation and efficiency
• Collaborate with other engineers and analysts on data models, workflows, and project delivery
• Maintain and update documentation around data pipelines, architecture, and processes
• Participate in testing and deployment of new data solutions and enhancements
• Strong experience with SQL and data engineering concepts including data warehousing and dimensional modeling
• Hands-on experience with at least one ETL tool such as Informatica, Azure Data Factory, or Snowflake
• Ability to manage multiple priorities and work in a fast-paced, collaborative environment

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