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Data Engineering Jobs in Oklahoma (NOW HIRING)

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable. • Enable ML & LLM Use Cases: Prepare and curate datasets ...

Data Engineering & Integration Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems. * Build and optimize ETL ...

AWS Cloud Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Minimum 5 years of applicable work experience within data engineering. * Strong analytical skills and the ability to translate data into actionable insights. * Excellent technical writing and oral ...

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

Minimum 5 years of applicable work experience within data engineering. * Strong analytical skills and the ability to translate data into actionable insights. * Excellent technical writing and oral ...

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Designs, implements, and maintains data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques.

Senior AWS Software Data Engineer

Oklahoma City, OK · On-site

$113K - $150K/yr

This role is ideal for those passionate about shaping the future of data engineering and making a significant contribution to innovative data solutions. This position is expected to be 100% onsite.

Senior AWS Software Data Engineer

Oklahoma City, OK · On-site

$113K - $150K/yr

This role is ideal for those passionate about shaping the future of data engineering and making a significant contribution to innovative data solutions. This position is expected to be 100% onsite.

Data Engineer Senior

Oklahoma City, OK

$98K - $133K/yr

Designs, implements, and maintains data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques.

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Designs, implements, and maintains data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques.

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Collaborating with engineering and data teams using modern DevOps practices What We're Looking For (8+ years preferred): * Strong experience with SQL Server 2019 and advanced SQL development * Hands ...

Data Engineer -Mauritius

Blair, OK

$101K - $122K/yr

The Data Engineer facilitates the flow of oftentimes massive quantities of raw files from various disparate locations into well-harmonized tables. Much is made of the potential to use data to solve ...

Data Strategy-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Strategy-Manager

Tulsa, OK · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering. We help the world's leading Resources and Utilities organizations reinvent how they ...

New

$58.75 - $78.50/hr

Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering. We help the world's leading Resources and Utilities organizations reinvent how they ...

New

Data Engineer

Edmond, OK · On-site

$103K - $124K/yr

The YouVersion Data Engineer will develop and build data pipelines and ETL (Extract, Transform, Load) that lead to increased engagement and growth through the Bible App across the globe. The ...

Showing results 41-60

Data Engineering information

See Oklahoma salary details

$42.5K

$152.4K

$224.8K

How much do data engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineering in Oklahoma is $152,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Oklahoma?

The most popular types of Data Engineering jobs in Oklahoma are:

What are popular job titles related to Data Engineering jobs in Oklahoma?

For Data Engineering jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Oklahoma look for?

The top searched job categories for Data Engineering jobs in Oklahoma are:

What cities in Oklahoma are hiring for Data Engineering jobs?

Cities in Oklahoma with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Oklahoma as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $152,367 per year, or $73.3 per hour.

Senior Data Engineer

Life.Church

Edmond, OK • On-site

$95K - $130K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Life.Church is a multi-site Christian church committed to leading people to become fully devoted followers of Christ. The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that ensure quality and reliable data, collaborating across technical teams to support the mission of the organization.
Responsibilities:
• Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making.
• Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience.
• Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable.
• Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications.
• Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers.
• Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices.
• Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues.
• Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship.
• Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams.
• Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance.
• Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction.
• Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and best practices.
Qualifications:
Required:
• 5+ years of data or software engineering experience building production-grade data systems.
• Bachelor’s degree in Computer Science, Data, or a related field (advanced certification a plus).
• Proven ability to design, build, and operate reliable data pipelines.
• Experience mentoring others and contributing to team-level technical direction.
• Strong proficiency writing complex SQL queries and optimizing performance.
• Experience with Python, Go, Java, or similar general-purpose languages.
• Hands-on experience with data warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
• Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
• Experience building data systems on GCP or comparable cloud environments.
• Experience integrating batch and real-time data sources.
• Experience preparing datasets for predictive, prescriptive, or classification models.
• Understanding of feature engineering concepts and data requirements for ML workflows.
• Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
• Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
• Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.
• Ability to independently lead complex data projects from concept to production.
• Comfortable navigating ambiguity and solving complex technical challenges.
• Able to communicate clearly with both technical and non-technical partners.
• Strong instincts around testing, monitoring, and data correctness.
• Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
• Desire to use your skills to serve others and advance God’s Kingdom.
Preferred:
• Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
• Excitement about building data systems that support insight, learning, and spiritual growth.
Company:
Life.Church is dedicated to leading people to become fully devoted followers of Christ. Founded in 1996, the company is headquartered in Edmond, USA, with a team of 1001-5000 employees. The company is currently Late Stage.