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Sr Data Engineer Jobs in Tulsa, OK (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 development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

SmartLight Analytics

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 ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Gateway First Bank

Senior IT Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Senior IT Data Engineer JOB SUMMARY: This role focuses on building, maintaining, and modernizing data architecture to ensure reliable analytics. Responsibilities include engineering scalable data ...

The University of Oklahoma

Senior Data Analyst

Tulsa, OK · On-site

$78K - $99K/yr

Senior Data Analyst Job no: 493306 Work type: Professional Location: Tulsa Categories: Technology ... Will function as lead developer for a Care Management application platform currently utilized by a ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

... with senior level developers to improve development skills and system knowledge. • Actively ... data engineers on skills or system knowledge through mentoring, knowledge transfer, code review ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... Actively train with senior level developers to improve development skills and system knowledge.

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Data Extraction and Analysis: Connect to diverse data sources and perform data analysis to ... Actively train with senior level developers to improve development skills and system knowledge.

Pwc

GenAI Python Systems Engineer -Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Olsson

Senior Mechanical Engineer - Data Centers

Tulsa, OK · On-site

$120K - $170K/yr

As a Senior Mechanical Engineer, you will work directly with some of the world's largest technology ... Experience in the Data Center industry is preferred. You will also coordinate with other Olsson ...

Matrix PDM Engineering

Electrical Senior Engineer

Tulsa, OK · On-site

$98K - $127K/yr

Job Summary The Senior Electrical Engineer I is responsible for performing expert level design and ... Designs and conducts experiments and analysis and interprets data. * Formulates and solves problems.

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Tulsa, OK

Sr Data Engineer information

See Tulsa, OK salary details

$74K

$115.4K

$159.8K

How much do sr data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sr data engineer in Tulsa, OK is $115,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Tulsa, OK?

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What job categories do people searching Sr Data Engineer jobs in Tulsa, OK look for?

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Cities near Tulsa, OK with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,523 per year, or $52.7 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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