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Work From Home Azure Data Engineer Jobs in Oklahoma

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA ... Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ...

WORK FROM HOME

Norman, OK · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Tulsa, OK · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

We are excited to announce that currently we are looking for a 100% remote (work from home-WFH) contract Pharmacy Support Call Center Representative to join our team. In this position, you will ...

Work from Home

Tulsa, OK · Remote

$18/hr

We are excited to announce that currently we are looking for a 100% remote (work from home-WFH) contract Pharmacy Support Call Center Representative to join our team. In this position, you will ...

Work From Home Agent (Remote)

Oklahoma City, OK · On-site +1

$14 - $18.25/hr

Good data entry and typing skills * Great customer service and people skills Please note: Must have ... This is an opportunity for you to work from home, schedule your own hours and spend more time with ...

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Work From Home Azure Data Engineer information

See Oklahoma salary details

$41.1K

$119.8K

$163.9K

How much do work from home azure data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for work from home azure data 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 work from home Azure Data Engineer?

A Work From Home Azure Data Engineer is a remote role where professionals design, build, and manage data solutions using Microsoft Azure services. They develop data pipelines, optimize storage solutions, and ensure efficient data processing for business insights. This role requires expertise in Azure data services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Strong knowledge of ETL processes, data modeling, and cloud security is essential. It allows professionals to collaborate with teams virtually while managing cloud-based data workflows.

What does a typical day look like for a work from home Azure Data Engineer?

A typical day for a Work From Home Azure Data Engineer involves designing, developing, and maintaining data pipelines using Azure services to ensure data is clean, accessible, and ready for analysis. You may attend virtual meetings with data scientists, analysts, and business stakeholders to discuss requirements and progress, and collaborate via team chat platforms. Daily tasks often include writing and optimizing SQL queries, troubleshooting pipeline issues, and working on new data integration projects. The remote setting requires frequent communication and clear documentation, but also offers flexibility in managing your own schedule and workspace.

What are the key skills and qualifications needed to thrive as a work from home Azure Data Engineer?

To thrive as a Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, cloud computing (especially Microsoft Azure), and a relevant degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving, communication, and time management skills are crucial for remote collaboration and delivering effective solutions. Together, these skills enable you to build robust data pipelines and analytics solutions while efficiently working in a distributed team environment.

What are popular job titles related to Work From Home Azure Data Engineer jobs in Oklahoma?

For Work From Home Azure Data Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Work From Home Azure Data Engineer jobs in Oklahoma look for?

The top searched job categories for Work From Home Azure Data Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Work From Home Azure Data Engineer jobs?

Cities in Oklahoma with the most Work From Home Azure Data Engineer job openings:

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 5 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.