ZipRecruiter

Log In

1

Associate Data Engineer Jobs in Oklahoma (NOW HIRING)

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK

$106K - $133K/yr

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 ...

Pwc

Data Engineer - Manager

Oklahoma City, OK · On-site

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Pwc

Data Strategy-Manager

Tulsa, OK

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Strategy-Manager

Oklahoma City, OK

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Oklahoma City, OK

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

Data Governance- Manager

Tulsa, OK

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

GenAI Python Systems Engineer-Director

Tulsa, OK

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

next page

Showing results 1-20

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Oklahoma

Associate Data Engineer information

See Oklahoma salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for associate data engineer in Oklahoma is $17.30, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.41 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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 are popular job titles related to Associate Data Engineer jobs in Oklahoma?

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

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

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

What cities in Oklahoma are hiring for Associate Data Engineer jobs?

Cities in Oklahoma with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,986 per year, or $17.3 per hour.

Data Engineer I,II,III, SR

mytfcuhr

Oklahoma City, OK

$106K - $133K/yr

Full-time

Posted 23 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