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Data Engineer Manager Jobs in Edmond, OK (NOW HIRING)

Expand Energy

Data Architect

Oklahoma City, OK · On-site

$52.25 - $67.25/hr

Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions. * Strong knowledge of SDLC processes, including Agile ...

MidFirst Bank

Data Steward Manager

Oklahoma City, OK · On-site

Partner with the Data Governance Office, Data Product Managers, DBAs, data engineers, and BI developers to ensure technical solutions conform to business data standards and stewardship requirements.

SwiftCruit

Senior Engineer, Data Science

Oklahoma City, OK · On-site

$150 - $190/hr

Job Summary The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and ... management at scale in production environments. * Translates complex business problems into ...

New

MidFirst Bank

Data Steward Manager

Oklahoma City, OK · On-site

... developers to ensure technical solutions conform to business data standards and stewardship ... data management roles (e.g., business analyst, data analyst, product analyst) • Strong ...

GDIT

Engineering Manager

Oklahoma City, OK · Hybrid

$119K - $161K/yr

No ENGINEERING MANAGER Transform technology into opportunity as an Engineering Manager at GDIT ... By proceeding, you authorize the collection, processing, and use of your biometric data for ...

Pwc

AI & GenAI Data Scientist-Director

Oklahoma City, OK · On-site

$155K - $410K/yr

... programming languages such as Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Edmond, OK

Data Engineer Manager information

See Edmond, OK salary details

$40.2K

$117.2K

$160.4K

How much do data engineer manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer manager in Edmond, OK is $117,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $124,200.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Edmond, OK? The most popular types of Data Engineer jobs in Edmond, OK are:
What are popular job titles related to Data Engineer Manager jobs in Edmond, OK? For Data Engineer Manager jobs in Edmond, OK, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Edmond, OK look for? The top searched job categories for Data Engineer Manager jobs in Edmond, OK are:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Edmond, OK as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $117,200 per year, or $56.3 per hour.

Data Architect

Expand Energy

Oklahoma City, OK • On-site

$52.25 - $67.25/hr

Full-time

Posted 23 days ago

Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.
We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.
Job Summary
This advisor-level role is responsible for advancing the architecture, scalability, and maturity of the enterprise data platform within the Enterprise Data and Analytics team.
The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are scalable, reliable, and aligned with business needs.
This role partners with cross-functional teams to establish standards, patterns, and platform capabilities that enable efficient delivery of data products, machine learning models, and advanced analytics solutions across the organization.
Job Duties & Responsibilities
Data Platform Architecture
  • Define and evolve data platform architecture, ensuring scalability, reliability, and long-term sustainability
  • Establish standards and best practices for data modeling, data pipelines, and platform usage
  • Drive maturity across data platform capabilities, including ingestion, transformation, serving, and governance

MLOps Enablement
  • Lead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management
  • Establish reusable patterns and frameworks supporting machine learning and data product delivery
  • Support teams in operationalizing machine learning solutions at scale

Emerging Capabilities & Platform Evolution
  • Evaluate and enable platform capabilities to support evolving AI and advanced analytics use cases
  • Ensure the platform can support new workloads and architectural patterns while maintaining stability and performance
  • Recommend tools, technologies, and process improvements to enhance delivery and platform effectiveness

Collaboration & Technical Leadership
  • Partner with business stakeholders and technical teams to define and deliver scalable solutions
  • Provide architectural guidance across multiple teams to ensure consistency and alignment
  • Promote best practices in software engineering, DevOps, and SDLC processes

Job Specific Skills
  • Strong proficiency in Python with experience building and operating production data or ML systems
  • Strong proficiency in SQL and experience with distributed data processing frameworks
  • Expertise in data architecture, data modeling, and data platform design
  • Experience designing and supporting MLOps environments, including pipeline automation, deployment, and monitoring
  • Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns.
  • Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases.
  • Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks.
  • Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions.
  • Strong knowledge of SDLC processes, including Agile methodologies.
  • Ability to define and implement standards, patterns, and reusable frameworks
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Education
Minimum: High school diploma or GED
Preferred: Bachelor's degree in Information Systems, Computer Science, or related field
Experience
Minimum: 8 years related work experience
Preferred: Related work experience in data engineering, software engineering, or data architecture
Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.
Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.

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