Data Engineer

Job Description

#### About the job Data Engineer

**Senior IT Data Engineer**  

Tulsa, OK

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.

**Interested?** Apply or reach out directly: **[email protected]**

### 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**
* 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**

### 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**

### Additional Details

* 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.

Reach out if you'd like to learn more: **[email protected]**