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.

What You'll Do

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

What We’re Looking For

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

Experience

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.

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