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Remote Senior Data Engineer Jobs (NOW HIRING)

DivIHN

Senior Data Developer (Remote)

Senior Data Developer (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible ... Azure Data Engineer certifications. * Experience with Dynamics 365 and Power Platform integrations.

Humana

Senior Data Engineer

Louisville, KY · Remote

$101K - $138K/yr

The Senior Data Engineer work assignments involve moderately complex to complex issues where the ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Interra Health

Senior Data Engineer

Boston, MA · Remote

$115K - $151K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Omega Solutions Inc

Senior Data Engineer Role

$108K - $147K/yr

Senior Data Engineer (Cloud) This role is for a senior data engineer that will join a team ... other please specify i.e. remote work, rural, etc.) Remote work or 1600 McConnor Parkway ...

New

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau ... Senior data engineer with expertise in SQL Server/SSRS, cloud-based data platforms, ETL/ELT, and ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$111K - $133K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Paul Hastings

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Healthmap Solutions

Senior Data Engineer

$108K - $147K/yr

Position Summary The Senior Data Engineer drives the design, development, and operational ... Strong knowledge of best practice in data management No Travel #LI-Remote Americans with Disability ...

Medical Guardian

Senior Data Engineer

Philadelphia, PA · Remote

$107K - $145K/yr

We support over 625,000 members nationwide with life-saving emergency response systems and remote ... While the Senior Data Engineer will support batch data processes, the primary focus is on real-time ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Senior Data Engineer Location: Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads ...

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All JobsRemote Senior Data Engineer Jobs

Remote Senior Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do remote senior data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote senior data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Senior Data Engineer vs Data Scientist?

AspectRemote Senior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields, certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, visualization tools
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, research, finance

Remote Senior Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles often collaborate but serve different functions within data teams. Understanding these differences helps in choosing the right career path or job search focus.

What are Remote Senior Data Engineers?

Remote Senior Data Engineers are experienced professionals who design, build, and maintain complex data systems and pipelines, but work from a location outside of the company's main office. They are responsible for ensuring reliable data flow, optimizing data storage, and supporting analytics, often collaborating with teams across different time zones. Their role typically involves advanced programming, data architecture, and the implementation of best practices in data engineering, all while working remotely. This position demands strong technical skills, excellent communication, and the ability to work independently.

How does a Remote Senior Data Engineer typically collaborate with distributed teams to ensure data pipeline reliability?

As a Remote Senior Data Engineer, collaboration with cross-functional, distributed teams is usually facilitated through agile project management tools, regular video meetings, and shared documentation platforms. You’ll often work closely with data scientists, analysts, and DevOps engineers to design, build, and maintain scalable data pipelines. Clear communication and proactive status updates are essential to ensure everyone stays aligned and issues are addressed quickly. Leveraging version control systems and automated testing also helps maintain the reliability and quality of the data infrastructure across different time zones.

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

To thrive as a Remote Senior Data Engineer, you need advanced expertise in data engineering concepts, SQL, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Spark or Hadoop), and relevant certifications are typically required. Excellent problem-solving, communication, and self-management skills are crucial for collaborating remotely and driving projects independently. These competencies ensure robust data pipelines, effective teamwork, and successful delivery of scalable data solutions in distributed environments.
More about Remote Senior Data Engineer jobs
What cities are hiring for Remote Senior Data Engineer jobs? Cities with the most Remote Senior Data Engineer job openings:
What are the most commonly searched types of Senior Data Engineer jobs? The most popular types of Senior Data Engineer jobs are:
What states have the most Remote Senior Data Engineer jobs? States with the most job openings for Remote Senior Data Engineer jobs include:
What job categories do people searching Remote Senior Data Engineer jobs look for? The top searched job categories for Remote Senior Data Engineer jobs are:
Remote Senior Data Engineer jobs near you
Infographic showing various Remote Senior Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 60% Full Time, 31% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Developer (Remote)

DivIHN

Remote

Full-time

Posted 15 days ago

Job description

For further inquiries about this opportunity, please contact one of our Talent Specialist Marsh at (224)5071280
Title: Senior Data Developer (Remote)
Duration: 12 Months
Location: Remote
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Work Arrangement
  • Remote engagement with required onsite attendance in Springfield, IL during the first week of the project.
  • Remaining duration of the contract may be performed remotely.

Description:
Position Summary
Our client is seeking a Senior Data Developer to design, develop, and implement scalable cloud-based data integration and migration solutions supporting the CMS Data Modernization Program. This role will focus on building Azure-based ETL/ELT pipelines, supporting legacy-to-cloud migration activities, implementing multizone data lake solutions, and enabling enterprise reporting and analytics.
The ideal candidate will possess strong hands-on expertise in Azure Data Factory, Azure SQL, cloud data engineering, and legacy data migration.
Key Responsibilities
  • Design, develop, and maintain Azure Data Factory (ADF) pipelines for ingestion, orchestration, and transformation.
  • Build scalable ETL/ELT solutions supporting enterprise data migration and modernization.
  • Implement multizone data lake architectures (Bronze/Silver/Gold) using Azure cloud technologies.
  • Develop and optimize SQL/T-SQL scripts, stored procedures, and transformation logic.
  • Extract and migrate data from legacy/mainframe environments including IMS DB/DC and DB2 systems.
  • Implement automated monitoring, logging, alerting, and error handling frameworks for data pipelines.
  • Support scheduling frameworks, orchestration sequencing, and refresh cycle management.
  • Develop CI/CD deployment pipelines supporting data movement and database objects.
  • Execute end-to-end migration activities including extraction, transformation, validation, delta loads, and production cutovers.
  • Implement data quality and validation controls supporting reconciliation and accuracy reporting.
  • Collaborate with architects, analysts, SMEs, and project leadership teams.
  • Support Azure governance standards including RBAC, ABAC, and Key Vault integration.
  • Perform source system inventory and data discovery activities to support migration planning.
  • Develop and maintain ingestion contracts, including field-level source-to-target mapping documentation.
  • Support data classification efforts, including identification and documentation of PII, SSN, and other sensitive data elements.
  • Design and support transactional staging environments for data ingestion and migration processes.
  • Create and maintain Azure Data Factory (ADF) pipeline specifications and support technical documentation.
Required Qualifications
  • 7+ years of experience in data engineering, ETL development, or cloud data modernization.
  • Strong hands-on expertise with Azure Data Factory (ADF).
  • Experience with Azure SQL, Azure Data Lake Storage (ADLS), and Azure cloud ecosystems.
  • Strong SQL and T-SQL development skills.
  • Experience developing multizone data lake solutions.
  • Experience migrating data from legacy or mainframe environments.
  • Experience implementing monitoring, logging, and automated validation frameworks.
  • Familiarity with DevOps and CI/CD processes.
  • Strong troubleshooting, analytical, and communication skills.
Preferred Qualifications
  • Experience supporting government or highly regulated environments.
  • Azure Data Engineer certifications.
  • Experience with Dynamics 365 and Power Platform integrations.

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