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Remote 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 ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday ... Job Profile Summary The ILI Engineer II is responsible for analyzing and validating ILI data in ...

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Remote Aws Data Engineer information

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$41.1K

$119.8K

$163.9K

How much do remote aws data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote 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 a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are popular job titles related to Remote Aws Data Engineer jobs in Oklahoma? For Remote Aws Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Aws Data Engineer jobs in Oklahoma look for? The top searched job categories for Remote Aws Data Engineer jobs in Oklahoma are:
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Remote Aws Data Engineer jobs near you

AWS Cloud Data Engineer

CCT

Tulsa, OK • On-site, Remote

$104K - $125K/yr

Full-time

Re-posted 6 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

Certified Banana Picker
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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