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Data Engineer C2C Remote Jobs in Oklahoma (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 ... Strong self-management skills with the ability to work independently in a fully remote environment.

ONEOK, Inc

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 ...

Zones

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/hr

... Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more ... Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ...

Interstates

Productivity Engineer

Muskogee, OK · On-site +1

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 ...

Cloudbeds

$140K - $180K/yr

Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI ... working with remote-first, globally distributed teams * Experience with API-driven design ...

3Mcompany

ENGR SR SOFTWARE DEVT

Oklahoma City, OK · Remote

$113K - $150K/yr

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Senior Software Engineer****3M Health Care is now Solventum****At Solventum, we enable better ...

3Mcompany

ENGR SR SOFTWARE DEVT

Oklahoma City, OK · Remote

$113K - $150K/yr

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Senior Software Engineer****3M Health Care is now Solventum****At Solventum, we enable better ...

Pipeline Conditioning

Field Engineer

Oklahoma City, OK · Remote

$106K - $126K/yr

Field Engineer - Pipeline Conditioning Remote (US-based) | 60% Travel | $86,000-$126,000+ Total ... Perform gas sampling, data logging, and daily reporting. * Communicate directly with clients and ...

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Data Engineer C2C Remote information

What is a data engineer c2c remote?

Data Engineer C2C Remote jobs refer to contract positions for data engineers that are fulfilled remotely and use a 'Corp-to-Corp' (C2C) arrangement. In C2C, a contractor works through their own corporation or as part of a consulting company rather than as a direct employee or individual contractor (W2 or 1099). Data engineers in these roles are responsible for designing, building, and maintaining data pipelines and infrastructure, usually for clients across different locations. These remote roles offer flexibility in work location and are common in the tech industry, especially for specialized projects.

What skills and qualifications are needed to thrive as a data engineer in a remote C2C setting?

To thrive as a Data Engineer C2C Remote, you need expertise in data modeling, ETL processes, and proficiency in programming languages like Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is highly valued. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills and qualities are crucial for building scalable data solutions, ensuring data integrity, and delivering results in a distributed team setting.

What are common challenges data engineers face when working in a fully remote C2C arrangement?

Data Engineers working remotely on a C2C basis often encounter challenges such as aligning with distributed teams across different time zones, ensuring secure data access, and managing communication with multiple stakeholders. Since C2C roles are typically contract-based, there can be less direct oversight and more emphasis on delivering results independently, which requires strong self-management and proactive reporting. Additionally, integrating with existing data infrastructure remotely may involve navigating different security protocols and adapting to each client’s unique tech stack.

What are the most commonly searched types of Data Engineer C2C jobs in Oklahoma?

The most popular types of Data Engineer C2C jobs in Oklahoma are:

What are popular job titles related to Data Engineer C2C Remote jobs in Oklahoma?

For Data Engineer C2C Remote jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Engineer C2C Remote jobs in Oklahoma look for?

The top searched job categories for Data Engineer C2C Remote jobs in Oklahoma are:

Data Engineer C2C Remote jobs near you
Infographic showing various Data Engineer C2C Remote job openings in Oklahoma as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 8 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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