Data Engineer

Tech Partners•Tulsa, OK

5d•Onsite

About The Position

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. If you're passionate about data engineering, governance, and enabling analytics across cloud and on-prem environments, we'd like to connect.

Requirements

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
Experience building enterprise-scale data pipelines
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

Responsibilities

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