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Data Engineer Jobs in Newcastle, OK (NOW HIRING)

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

OakTree Staffing

Be Seen First

Senior Data Engineer

Oklahoma City, OK · On-site

$98K - $133K/yr

Senior Data Engineer Location: Oklahoma City, Ok Description: Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts, and ...

Addison Group

Sr. Data Engineer

Oklahoma City, OK · Remote

$50 - $70/hr

Senior Data Engineer Location: Oklahoma City, OK Pay: $50 - $70 / Hour Work Schedule: Hybrid -- 4 days onsite and 1 day remote initially Benefits: This position is eligible for medical, dental ...

Addison Group

Sr. Data Engineer

Oklahoma City, OK · On-site

$50 - $70/hr

Senior Data Engineer Location: Oklahoma City, OK Pay: $50 - $70 / Hour Work Schedule: Hybrid - 4 days onsite and 1 day remote initially Benefits: This position is eligible for medical, dental, vision ...

OG&E

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

OG&E

Data Engineer Senior

Oklahoma City, OK

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

OG&E

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

Canoo

Canoo Data Platform - Data Engineer

Oklahoma City, OK · On-site

$98K - $118K/yr

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed ...

Boeing

Senior AWS Software Data Engineer

Oklahoma City, OK · On-site

$113K - $150K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a Senior AWS Software Data Engineer to join our Digital Analytics and System Health (DASH) software ...

Boeing

Senior AWS Software Data Engineer

Oklahoma City, OK · On-site

$113K - $150K/yr

Senior AWS Software Data Engineer Company: The Boeing Company The Boeing Company is looking for a Senior AWS Software Data Engineer to join our Digital Analytics and System Health (DASH) software ...

Pwc

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 ...

Pwc

Data Governance- 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 ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Newcastle, OK

Data Engineer information

See Newcastle, OK salary details

$35K

$102.1K

$139.7K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Newcastle, OK is $102,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $108,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What job categories do people searching Data Engineer jobs in Newcastle, OK look for?

The top searched job categories for Data Engineer jobs in Newcastle, OK are:

What cities near Newcastle, OK are hiring for Data Engineer jobs?

Cities near Newcastle, OK with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Newcastle, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $102,057 per year, or $49.1 per hour.

Senior Data Engineer

Life.Church

Edmond, OK • On-site

$95K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in leading to increased engagement and growth through the Bible App globally. The Senior Data Engineer works across technical teams within the organization, including but not limited to Data Analytics, Software Engineering leaders, and Product teams. This role is responsible for defining and executing data governance and architectural decisions and teaching/guiding others on the team. The Senior Data Engineer utilizes their skills to deliver technical outcomes that align with the direction of their team to further Life.Church's mission and to reach people for Christ.
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That's why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.
What You'll Do
  • 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.

What It Takes to Thrive Here
  • Strong Ownership: Ability to independently lead complex data projects from concept to production.
  • Problem-Solving Mindset: Comfortable navigating ambiguity and solving complex technical challenges.
  • Collaboration Skills: Able to communicate clearly with both technical and non-technical partners.
  • Quality Focus: Strong instincts around testing, monitoring, and data correctness.
  • Learning Orientation: Curiosity and motivation to grow in ML- and LLM-adjacent data engineering practices.
  • Mission Alignment: Desire to use your skills to serve others and advance God's Kingdom.

Technical Areas You Excel In
  • SQL: Strong proficiency writing complex queries and optimizing performance.
  • Programming: Experience with Python, Go, Java, or similar general-purpose languages.
  • Data Warehousing: Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT).
  • Pipelines & Orchestration: Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools.
  • Cloud Platforms: Experience building data systems on GCP or comparable cloud environments.
  • APIs & Streaming: Experience integrating batch and real-time data sources.
  • ML Data Preparation: Experience preparing datasets for predictive, prescriptive, or classification models.
  • Feature Readiness: Understanding of feature engineering concepts and data requirements for ML workflows.
  • LLM Awareness: Familiarity with LLM concepts such as embeddings, prompt inputs/outputs, vector storage, or retrieval-augmented generation (RAG).
  • Pipeline Support: Ability to support data flows for model training, evaluation, and inference (without requiring deep model research).
  • Cross-Functional Partnership: Comfortable collaborating with ML engineers, data scientists, or platform teams on ML-enabled features.

What You Bring
  • Experience: 5+ years of data or software engineering experience building production-grade data systems.
  • Education: Bachelor's degree in Computer Science, Data, or a related field (advanced certification a plus).
  • Technical Maturity: Proven ability to design, build, and operate reliable data pipelines.
  • Leadership Growth: Experience mentoring others and contributing to team-level technical direction.
  • Tooling Familiarity: Experience with tools such as GitLab, Jira, Amplitude, Backstage, or Notion is a plus.
  • Passion for Impact: Excitement about building data systems that support insight, learning, and spiritual growth.

Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment!
  • $160 annually in development dollars for team members to invest in their professional growth.
  • Casual dress and work environment.
  • And much more!

Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.

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