ZipRecruiter

Log In

1

Exempt Data Engineer Jobs in Oklahoma (NOW HIRING)

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK

$106K - $133K/yr

As a Data Engineer, you will be responsible for the following: * Building and maintaining scalable ... This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35 ...

Focus Financial Partners

$90K - $110K/yr

Position Summary The Analytics Engineer is responsible for owning the design, build, and ongoing ... data products from design through ongoing support. This position is an exempt position. The ...

OG&E

Distribution Engineer

Oklahoma City, OK · On-site

$79K - $106K/yr

Exempt 54 (or) Exempt 56 Job Code: 125855 (or) 125852 JOB SUMMARY ** This job is being posted ... Conducts surveys to gather field data. Prepares engineering analysis for small/routine projects to ...

Mewbourne Oil Company

Petroleum Engineer

Woodward, OK · On-site

Salary, Exempt Salary: BOE Location: Hobbs NM, Perryton, TX, and Woodward, OK This role is designed ... Analyze data and performance metrics to drive future efficiency gains. * Write procedures and AFEs ...

Mewbourne Oil Company

Petroleum Engineer

Woodward, OK · On-site

Salary, Exempt Salary: BOE Location: Hobbs NM, Perryton, TX, and Woodward, OK This role is designed ... Analyze data and performance metrics to drive future efficiency gains. * Write procedures and AFEs ...

OG&E

Maintenance Engineer

Red Rock, OK · On-site

Exempt 58 (or) Exempt 56 JOB SUMMARY This job is being posted across two skill levels. Applicants ... Conducts surveys to gather field data. Prepare and interpret schematics, drawings, layouts and ...

OG&E

Maintenance Engineer

Red Rock, OK

Exempt 58 (or) Exempt 56 JOB SUMMARY This job is being posted across two skill levels. Applicants ... field data. • Prepare and interpret schematics, drawings, layouts and other visual aids. • ...

OG&E

Maintenance Engineer

Red Rock, OK · On-site

Exempt 58 (or) Exempt 56 JOB SUMMARY This job is being posted across two skill levels. Applicants ... field data. • Prepare and interpret schematics, drawings, layouts and other visual aids. • ...

OG&E

Process Engineer Associate

Oklahoma City, OK · On-site

$65K - $87K/yr

Exempt 54 Job Code: 125855 JOB SUMMARY Works under close supervision while learning and applying ... Familiarity with Microsoft Excel and basic data analysis. * Basic understanding of technical ...

Rpcinc

TTS Draftsman, Exempt

Newcastle, OK

Responsible for, but not limited to, prepare detailed engineering diagrams, including dimensions ... Reviews and analyzes specifications, sketches, drawings, ideas, and related data to assess factors ...

OG&E

Process Engineer Associate

Oklahoma City, OK · On-site

$65K - $87K/yr

Exempt 54 • Job Code: 125855 JOB SUMMARY Works under close supervision while learning and ... Familiarity with Microsoft Excel and basic data analysis. * Basic understanding of technical ...

OmniForce

Continuous Improvement Engineer

Tulsa, OK

... and data center markets. Known for engineering excellence, reliability, and custom design ... This is an exempt position. Days and hours of work are Monday through Friday, 7:00 a.m. to 4:00 p.m ...

OmniForce Solutions

Industrial Engineer

Claremore, OK · On-site

$58K - $78K/yr

... and data center markets. Known for engineering excellence, reliability, and custom design ... This is an exempt position. Days and hours of work are Monday through Friday, 7:00 a.m. to 4:00 p.m.

next page

Showing results 1-20

All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in Oklahoma

Exempt Data Engineer information

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.
What are the most commonly searched types of Data Engineer jobs in Oklahoma? The most popular types of Data Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Exempt Data Engineer jobs? Cities in Oklahoma with the most Exempt Data Engineer job openings:
Exempt Data Engineer jobs near you

Data Engineer I,II,III, SR

mytfcuhr

Oklahoma City, OK

$106K - $133K/yr

Full-time

Posted 4 days ago

Job description

Tinker Federal Credit Union’s IT Department has an immediate opening for a Data Engineer! This is an exciting opportunity to join one of the nation’s leading credit unions! We offer competitive pay, a robust benefits package, a “smart casual dress code” and much more! We want you to work and grow at TFCU, so there will be many opportunities for professional development and growth through training and continued education. We value you at TFCU!

As a Data Engineer, you will be responsible for the following:

  • Building and maintaining scalable data pipelines and infrastructure that support analytics, business intelligence, and data integration initiatives.
  • Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices.
  • Collaborate with stakeholders across the organization to translate business requirements into robust technical solutions while adhering to established best practices, security standards, and regulatory requirements

Salary Range:

This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35, Level II: $106,414.36 - $133,017.95, Level III $131,113.13 - $163,891.42, Senior:  $131,113.13 - $163,891.42 however, actual placement within the range will be determined individually based on your experience relative to organizational needs and internal salary equity.

Schedule:

Normally works a weekday schedule, but may be required to work evenings, holidays, or weekends. May be required to travel overnight with or without notice. Could be subjected to on-call status.

Education/Experience:

A bachelor’s degree in computer science, information systems, business analytics, applied statistics, or a related field for all levels is required. A master’s degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.

Certificates, Licenses, Registrations:

  • Incumbent Bonding REQUIRED by TFCU’s chosen authority.
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer.

Keys to success:

In order to be successful as a Data Engineer you must possess these qualifications:

  • Strong interpersonal and team collaboration skills.
  • Ability to communicate technical concepts effectively to technical and non-technical audiences.
  • Strong analytical and problem-solving skills with the ability to design scalable, efficient, and reliable data solutions.
  • Strong understanding of data structures, algorithms, and core data engineering principles.
  • Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.
  • Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.
  • Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred.
  • Strong understanding of data modeling, database design, and dimensional modeling techniques, including star and snowflake schemas.
  • Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above).
  • Knowledge of source control, CI/CD pipelines, and DevOps practices supporting data engineering solutions (Level II and above).
  • Knowledge of data governance, information security, privacy, and regulatory requirements, including data classification, encryption, GLBA, and protection of personally identifiable information (PII).
  • Advanced knowledge of cloud-based data platforms, semantic modeling, data architecture, and real-time data processing technologies (Senior Data Engineer).

Apply