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Aws Data Engineer Jobs in Oklahoma (NOW HIRING)

CCT

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

CCT

AWS Cloud Data Engineer

Tulsa, OK

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

Boeing

Senior AWS Software Data Engineer

Oklahoma City, OK

$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

$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 ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

ROLE : DATA ENGINEER LOCATION - TULSA OK (HYBRID ONSITE) DURATION : 6-MONTH CONTRACT WITH ... Practical experience with AWS, such as S3, EC2, RDS, Redshift, or Glue * Experience integrating or ...

Pwc

Data Engineer - Senior Associate

Oklahoma City, OK

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Manager

Oklahoma City, OK · On-site

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Manager

Tulsa, OK · On-site

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Data Engineer Location : Tulsa, OK Onsite Duration : Long term contract What You'll Be Doing ... Practical experience with AWS , such as S3, EC2, RDS, Redshift, or Glue * Experience integrating or ...

WARWICK INVESTMENT GROUP

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

JOB OVERVIEW The mission of the Data Analytics Engineer at Warwick Energy is to bridge the gap ... Knowledgeable about cloud platforms like Snowflake, Azure, AWS, and GCP for data storage ...

Pwc

GenAI Python Systems Engineer-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

... AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks ...

Bespoke Labs

Data Engineer

Norman, OK · On-site

$101K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Broken Arrow, OK · On-site

$97K - $116K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Lawton, OK · On-site

$88K - $106K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Edmond, OK · On-site

$86K - $103K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Tulsa, OK · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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All JobsAws Data Engineer JobsAws Data Engineer Jobs in Oklahoma

Aws Data Engineer information

See Oklahoma salary details

$41.1K

$119.8K

$163.9K

How much do aws data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for aws data engineer in Oklahoma is $119,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $127,000.00 per year, depending on experience, location, and employer.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

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

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Oklahoma?

The most popular types of Aws Data Engineer jobs in Oklahoma are:

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

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

Aws Data Engineer jobs near you
Infographic showing various Aws 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 $119,772 per year, or $57.6 per hour.

AWS Cloud Data Engineer

CCT

Tulsa, OK • On-site, Remote

$104K - $125K/yr

Full-time

Re-posted 17 days ago

Job description

Summary
The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure
Essential Duties and Responsibilities:
  • Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products.
  • Design and implement scalable data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis.
  • Create and maintain all Infrastructure-as-Code (IaC) for primary product teams using tools like AWS CloudFormation or CDK.
  • Develop and maintain data storage solutions using Amazon S3, Redshift, RDS, DynamoDB, or other AWS-managed databases.
  • Design and develop code pipelines for our primary product application to:
    • Build application components.
    • Run automated tests created by the QA team.
    • Execute static code analysis.
    • Allow or prevent commits or PR merges based on predefined quality thresholds.
  • Deploy and manage AWS infrastructure resources as needed to support organizational and product-specific goals.
  • Implement monitoring, logging, and centralization of application instrumentation for real-time insights and troubleshooting.
  • Optimize ETL workflows to efficiently manage data across diverse sources and destinations.
  • Set up and manage AWS IAM policies, roles, and security-related configurations to ensure secure access and data protection.
  • Stay updated on AWS innovations and recommend tools or best practices to enhance the organization's data ecosystem.
  • Create comprehensive documentation and provide training for AWS-based data solutions, ensuring knowledge transfer and ease of use.
  • Ensure all data processes and systems adhere to security best practices, aligning with OWASP Top 10, CWE Top 25 guidelines, and CIS AWS Foundations Benchmark.

Further Expectations of the Role:
  • Disciplined in approach to work product completion and timelines.
  • Must have analytical thought processes to make independent decisions.
  • Ability and willingness to work extended hours on a sporadic basis as required.
  • Ability and willingness to work on multiple assignments/projects in a fast-paced environment and meet tight deadlines.
  • Ability and willingness to work independently.
  • Ability to effectively formulate and communicate problems and ideas.
  • Demonstrate and provide outstanding customer and employee relations at all times.

Qualifications:
  • Minimum 5 years of applicable work experience within data engineering.
  • Strong analytical skills and the ability to translate data into actionable insights.
  • Excellent technical writing and oral communication skills.
  • Experience collaborating cross-functionally with internal and external stakeholders.
  • Travel Expectations: 0%
  • Ability to pass stringent background investigations, required
  • Clean driving record, required

About CCT
CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability.
Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems-delivering measurable ROI and empowering teams to work smarter at every level.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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