Data Engineer

We're partnering with a Tulsa-based client to add a Senior IT Data Engineer to their team. This role is ideal for someone who enjoys modernizing data architecture, building scalable pipelines, and partnering closely with business stakeholders to turn raw data into actionable insights.

• Design, build, and maintain scalable ETL/ELT data pipelines
• Integrate data across cloud (Snowflake, Azure) and on-prem systems
• Optimize data warehouse performance, scalability, and cost efficiency
• Develop and maintain dimensional and analytical data models
• Identify and resolve data quality, lineage, and consistency issues
• Establish and promote data governance standards, metadata, and documentation
• Support cloud migration and data platform modernization efforts
• Partner with developers, analysts, and business stakeholders to deliver solutions
• Support reporting platforms including Power BI and Cognos
• Enable AI/ML and advanced analytics by preparing high-quality data assets

• Strong expertise in SQL and database optimization
• Hands-on experience with data modeling (dimensional, normalized, analytical)
• Proven ability to implement data governance, MDM, or data catalog solutions
• Familiarity with Azure, Snowflake, Databricks, or Microsoft Fabric
• Strong communication skills with the ability to engage stakeholders
• Comfortable working in less structured, evolving environments

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering
  , or similar experience
• ~5+ years in Data Engineering, Data Warehousing, BI, or Analytics Engineering
• Exposure to sensitive data environments (high-trust role)
• Flexible schedule + on-call rotation
• ~10% travel

We're looking for someone who brings a solutions mindset, strong ownership, and a get-it-done attitude - while also collaborating effectively across teams.