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Smartlight Analytics Jobs in Tulsa, OK (NOW HIRING)

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

About SmartLight AnalyticsSmartLight 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 Analytics information

See Tulsa, OK salary details

$55.3K

$113.1K

$159.8K

How much do smartlight analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for smartlight analytics in Tulsa, OK is $113,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What is Smartlight Analytics?

Smartlight Analytics is a company that specializes in healthcare data analytics, focusing on helping employers and organizations control healthcare costs by identifying waste, fraud, and abuse in health plan spending. They use advanced data analysis techniques to examine claims data and provide actionable insights for cost reduction and improved healthcare outcomes. By partnering with employers, Smartlight Analytics aims to make healthcare spending more transparent and efficient, leading to potential savings and better plan management.

What skills and qualifications are needed to thrive as a data analyst at Smartlight Analytics?

To thrive as a Data Analyst at Smartlight Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with healthcare claims data. Proficiency with data visualization tools (like Tableau), SQL, and advanced Excel, along with knowledge of healthcare analytics platforms, is typically required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this position. These competencies are crucial for identifying cost-saving opportunities, delivering actionable insights, and collaborating with clients to optimize healthcare spending.

What are common challenges faced by analysts at Smartlight Analytics, and how can they be addressed?

Analysts at Smartlight Analytics often encounter challenges such as working with large, complex healthcare data sets and ensuring data accuracy while meeting tight deadlines. Collaboration with cross-functional teams—including data scientists, healthcare consultants, and IT specialists—is essential for overcoming these obstacles. Staying up-to-date with industry tools and maintaining strong communication skills can help analysts navigate these challenges effectively and deliver actionable insights to clients.

What is the difference between Smartlight Analytics vs Data Analyst?

AspectSmartlight AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data tools
Work EnvironmentTech companies, marketing agencies, or analytics firmsCorporate, finance, healthcare, or consulting industries
Employer & Industry UsageUsed by companies focusing on data-driven insights and analytics solutionsEmployed across various industries to interpret data and support decision-making

Smartlight Analytics professionals focus on developing and implementing analytics solutions, often working with specialized tools and software. Data Analysts interpret data to generate reports and insights. While both roles require similar educational backgrounds and skills, Smartlight Analytics roles tend to be more technical and solution-oriented, whereas Data Analysts focus on data interpretation and reporting across diverse industries.

What are popular job titles related to Smartlight Analytics jobs in Tulsa, OK?

For Smartlight Analytics jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Smartlight Analytics jobs in Tulsa, OK look for?

The top searched job categories for Smartlight Analytics jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Smartlight Analytics jobs?

Cities near Tulsa, OK with the most Smartlight Analytics job openings:

Infographic showing various Smartlight Analytics job openings in Tulsa, OK as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $113,120 per year, or $54.4 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 6 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.