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Data Platform Engineer Jobs in Oklahoma (NOW HIRING)

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker ...

Navanta, LLC

Lead Data Engineer

Oklahoma City, OK

$106K - $127K/yr

... platform teams, this role builds the architecturally clean, well-modeled, reconcilable data ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

Navanta, LLC

Lead Data Engineer

Oklahoma City, OK

$106K - $127K/yr

... platform teams, this role builds the architecturally clean, well-modeled, reconcilable data ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

Focus Financial Partners

$90K - $110K/yr

Position Summary The Analytics Engineer is responsible for owning the design, build, and ongoing maintenance of data products in the MART layer of the firm's data platform. This role creates and ...

Accenture

$17.25 - $23.50/hr

Data Platforms & Engineering: Advanced proficiency in BigQuery, Dataflow, Pub/Sub, Cloud SQL, Spanner, and Bigtable for data migration, modernization, pipeline design, data quality governance, and ...

New

WARWICK INVESTMENT GROUP

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

Cloud Platforms : Knowledgeable about cloud platforms like Snowflake, Azure, AWS, and GCP for data storage, processing, and analytics. * Python for Data Manipulation : Competent in using Python for ...

WARWICK INVESTMENT GROUP LLC

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

Cloud Platforms : Knowledgeable about cloud platforms like Snowflake, Azure, AWS, and GCP for data storage, processing, and analytics. * Python for Data Manipulation : Competent in using Python for ...

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 ... Azure DevOps / Git experience * SSIS * Advanced knowledge of SQL (the main platform is SQL Server ...

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Showing results 21-40

All JobsData Platform Engineer JobsData Platform Engineer Jobs in Oklahoma

Data Platform Engineer information

See Oklahoma salary details

$41.1K

$119.8K

$163.9K

How much do data platform engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data platform 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 data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

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

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

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

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

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

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

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,772 per year, or $57.6 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 25 days ago

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement - you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization's BI and reporting tool.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight Analytics
SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

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