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Sql Server Data Engineer Jobs in Tulsa, OK (NOW HIRING)

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

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 ...

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

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 ...

Data Engineer II

Tulsa, OK · On-site

$99K - $119K/yr

Data Engineer Company Overview Our client is a respected leader in the retail and consumer services ... SQL, Python, and PySpark within Azure and SQL Server environments. * Consolidate multiple data ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Developing and maintaining SSIS-based ETL pipelines, including metadata-driven and dynamic ETL processes * Working with a variety of data sources and file formats to support enterprise data needs

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Developing and maintaining SSIS-based ETL pipelines , including metadata-driven and dynamic ETL processes * Working with a variety of data sources and file formats to support enterprise data needs

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting ... Architect, administer, and optimize SQL Server and other relational database environments ...

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 ... Architect, administer, and optimize SQL Server and other relational database environments ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts. * Adhere to established development standards ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts. * Adhere to established development standards ...

Strong expertise with SQL Server, Oracle, ETL development, and enterprise data modeling ... GitHub, Git, Azure DevOps * Power BI, Tableau, Cognos, OBIEE * Python, SQL, Spark Soft Skills

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... Strong understanding of modern software engineering and deployment practices, including version ...

Data Engineer

Tulsa, OK

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... Strong understanding of modern software engineering and deployment practices, including version ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... Strong understanding of modern software engineering and deployment practices, including version ...

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Sql Server Data Engineer information

See Tulsa, OK salary details

$55.3K

$111.5K

$153K

How much do sql server data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sql server data engineer in Tulsa, OK is $111,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $127,900.00 per year, depending on experience, location, and employer.

What does a SQL Server Data Engineer do?

A SQL Server Data Engineer is responsible for designing, developing, and maintaining databases using Microsoft SQL Server. Their role involves creating and optimizing data models, writing complex queries, ensuring data integrity, and supporting business intelligence needs. They often collaborate with developers, analysts, and stakeholders to deliver reliable and efficient data solutions. Additionally, they may handle performance tuning, security management, and data migration tasks.

What are the key skills and qualifications needed to thrive as a SQL Server Data Engineer?

To thrive as a SQL Server Data Engineer, you need strong proficiency in SQL, database design, ETL processes, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft SQL Server, SSIS, SSRS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving skills, and effective communication help you excel in troubleshooting, optimizing data workflows, and collaborating with cross-functional teams. These skills ensure reliable data management, efficient operations, and the delivery of actionable insights critical to business decision-making.

What are some common challenges faced by SQL Server Data Engineers when optimizing database performance?

SQL Server Data Engineers often encounter challenges such as identifying inefficient queries, managing indexing strategies, and balancing resource usage to prevent bottlenecks. They must regularly analyze query execution plans and monitor server health to optimize performance. Collaboration with developers is also essential to ensure that application code interacts efficiently with the database, and staying updated with the latest SQL Server features helps in implementing best practices.
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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.