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Data Engineer Data Bricks Jobs in Tulsa, OK (NOW HIRING)

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 development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

Licensed Professional Engineer (PE) * Data Center experience (preferred) * Central utility or large-scale infrastructure experience (preferred) * Revit experience (preferred) * Strong track record of ...

Showing results 21-40

Data Engineer Data Bricks information

See Tulsa, OK salary details

$40.6K

$118.5K

$162.1K

How much do data engineer data bricks jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer data bricks in Tulsa, OK is $118,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $125,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Tulsa, OK? For Data Engineer Data Bricks jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Tulsa, OK look for? The top searched job categories for Data Engineer Data Bricks jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Data Engineer Data Bricks jobs? Cities near Tulsa, OK with the most Data Engineer Data Bricks job openings:
Infographic showing various Data Engineer Data Bricks job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,479 per year, or $57 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 28 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.