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Remote Data Engineer Jobs in Bixby, OK (NOW HIRING)

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

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 ... Strong self-management skills with the ability to work independently in a fully remote environment.

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday ... Job Profile Summary The ILI Engineer II is responsible for analyzing and validating ILI data in ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Make better decisions with clearer data * Reduce avoidable rework and downtime * Improve planning ... Occasional remote work may be possible depending on assignment and business needs. Benefits of ...

Senior Project Engineer

Bixby, OK · Remote

$91K - $118K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

... data-driven reporting, tailored to your industry background. * Document findings and provide ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

This is a primarily remote role supporting enterprise Epic implementation, with minimal travel and ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

Hospital Billing Operator

Tulsa, OK · Remote

$16.75 - $21.50/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

Senior Software Engineer, Backend

Tulsa, OK · On-site +1

$165K - $241K/yr

With this data, we help to power Dashboard and allow ourcustomersinsight into the state of their ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

Accounts Receivable Analyst

Tulsa, OK · Remote

$22 - $27.75/hr

... remote client service delivery. Recruiting for this role ends on 08/01/2026 Work you'll do As an ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

Knowledge of Data Analysis Expressions (DAX). * Expert-level knowledge of DAX, SQL, data modeling ... WORK ENVIRONMENT Work is primarily performed in a hybrid environment of remote and a climate ...

Knowledge of Data Analysis Expressions (DAX). * Expert-level knowledge of DAX, SQL, data modeling ... WORK ENVIRONMENT Work is primarily performed in a hybrid environment of remote and a climate ...

Knowledge of Data Analysis Expressions (DAX). * Expert-level knowledge of DAX, SQL, data modeling ... WORK ENVIRONMENT Work is primarily performed in a hybrid environment of remote and a climate ...

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Showing results 1-20

Remote Data Engineer information

See Bixby, OK salary details

$40.9K

$119.4K

$163.3K

How much do remote data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data engineer in Bixby, OK is $119,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,500.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Bixby, OK? The most popular types of Data Engineer jobs in Bixby, OK are:
What are popular job titles related to Remote Data Engineer jobs in Bixby, OK? For Remote Data Engineer jobs in Bixby, OK, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Bixby, OK look for? The top searched job categories for Remote Data Engineer jobs in Bixby, OK are:
What cities near Bixby, OK are hiring for Remote Data Engineer jobs? Cities near Bixby, OK with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Bixby, OK as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,356 per year, or $57.4 per hour.
Senior Data Engineer

$96K - $131K/yr

Full-time

Posted 13 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 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 identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.