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Exempt Data Engineer Jobs in Oklahoma (NOW HIRING)

$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 ...

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 ...

Distribution Engineer

Oklahoma City, OK ยท On-site

$79K - $106K/yr

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

Distribution Engineer

Oklahoma City, OK ยท On-site

$79K - $106K/yr

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

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 ...

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 ...

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 ...

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 ...

AI Engineer

Tulsa, OK ยท On-site

Analyze and preprocess data to ensure quality and relevance for AI applications * Research and ... Exempt POSITION TYPE: Full-time LOCATION: Hybrid role based in Tulsa, Oklahoma TRAVEL REQUIREMENTS:

Analyze and preprocess data to ensure quality and relevance for AI applications * Research and ... Exempt POSITION TYPE: Full-time LOCATION: Hybrid role based in Tulsa, Oklahoma TRAVEL REQUIREMENTS:

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 ...

Principle Engineer

Oklahoma City, OK ยท On-site +1

$148K - $187K/yr

Exempt - Full-time Schedule: Monday to Friday Pay Range: $148,000 - $187,000 Annually Reports to ... Data Security & Compliance: Ensure the internal platform and app meet healthcare data privacy and ...

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Exempt Data Engineer information

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships.

What are Exempt Data Engineers?

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, and why are they important?

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 engineers make $500,000?

Exempt data engineers in senior or specialized roles with extensive experience, advanced skills in big data tools, cloud platforms, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical expertise, leadership, and industry reputation.

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 jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data engineers working in these settings may qualify for cap exemption if the employer qualifies under these categories, often requiring specialized skills and relevant certifications. Cap-exempt status allows for easier visa processing and renewal for eligible roles in these organizations.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on big data, cloud computing, and data infrastructure across industries. Skills in programming languages like Python and SQL, along with experience with tools such as Hadoop and Spark, enhance job prospects in this field.
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:
Data Engineer I (SAS)

$57K/yr

Full-time

Posted 19 days ago


Job description

Position Details
Position Information
Position Title
Data Engineer I (SAS)
Position Number
100137
FTE
1.0
FLSA
Non-Exempt
Pay Rate
$57,290 annually, plus benefits.
Position Type
Full-Time
Posting Detail
Posting Number
337
Essential Function
This position supports the collection, processing, validation, and maintenance of institutional data to ensure accuracy, integrity, and availability for reporting and operational needs. This position assists with troubleshooting and data quality monitoring regarding data submissions and corrections.
Responsibilities and Duties
โ€ข Ensure the accurate and timely processing of institutional data using approved systems, tools, and standardized operational workflows.
โ€ข Review incoming data submissions for completeness and consistency.
โ€ข Resolve routine data quality and processing issues.
โ€ข Support troubleshooting and issue resolution for workflow disruptions and system-related exceptions.
โ€ข Collaborate with institutional partners to correct invalid, incomplete, or inconsistent data in support of reporting requirements.
โ€ข Collaborate effectively within a team environment to achieve shared departmental and organizational objectives.
โ€ข Deliver professional and proactive communication with institutional coordinators and internal stakeholders to support effective collaboration.
โ€ข Support the integrity and accuracy of data across multiple reporting platforms, systems, and databases through Visual Analytics dashboards and queries.
โ€ข Create and maintain data warehouse-related documentation to enhance operational efficiency.
โ€ข Update data warehouse-related flows.
โ€ข Update data warehouse-related Visual Analytics dashboards.
โ€ข Ensure adherence to data governance, privacy, and information security standards across assigned responsibilities.
โ€ข Perform additional duties as assigned.
Minimum Qualifications
Associate's degree in Information Technology, Computer Science, Data Analytics, Mathematics, Statistics, or related field; SAS certification; or equivalent combination of education and experience. Experience working with spreadsheets, databases, or data processing tools. Basic understanding of data validation and troubleshooting techniques. Strong organizational and communication skills. Ability to manage multiple priorities with attention to detail. Clear focus and commitment to a high level of customer service. Strong verbal and written communication skills.
Preferred Qualifications
Experience with SAS Viya 4. Experience in higher education, research, or institutional reporting environments. Familiarity with warehouse databases and reporting systems.
Supervision
The employee performs work under the supervision of the Assistant Director of Data Warehousing.
Work Hours
Agency offices are open to the public from 8 A.M. to 5 P.M. Monday through Friday. These are the normal office hours for Agency employees.
Physical Demands
Ability to remain in a stationary position for extended periods of time. Ability to operate a computer, keyboard, photocopier, telephone, calculator and other office equipment. Ability to use a computer screen and printed material, to communicate clearly, ability to lift up to 25 pounds, and to perform tasks that may require reaching, bending or stooping. Reasonable accommodations may be requested to enable individuals with disabilities to perform essential functions. Must use the proper manual handling equipment including but not limited to dollies, carts and lift team members. Duties are normally performed in an office environment with a moderate noise level.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The Oklahoma State Regents for Higher Education is an Equal Opportunity Employer.
Posting Date
06/29/2026
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants