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Remote Senior Data Engineer Jobs (NOW HIRING)

INFT Solutions Inc

Remote-Senior Data Engineer

Lincoln, NE · Remote

$92K - $125K/yr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing ...

SolGenie

Senior Data Engineer

$108K - $147K/yr

We have a contract opportunity for Senior Data Engineer ( Remote) with one of our clients. Detailed s is provided below. Title: Senior Data Engineer : Microsoft Fabric Duration: 9+ Months Work ...

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Eitacies Inc

Senior Data Engineer

Los Angeles, CA · Remote

$60/hr

Senior Data Engineer (Level II & Level III) Level II is Remote work Level III is Onsite at Los Angeles, CA We are looking for experienced Data Engineers to support a large-scale Oracle to Snowflake ...

Constitution Surgery Alliance

Senior Data Engineer

$130K - $160K/hr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this position Reports To Director, Business Intelligence Collaborates With Clinical amp; Operational Teams ...

Constitution Surgery Alliance

Senior Data Engineer

$130K - $160K/yr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this position Reports To Director, Business Intelligence Collaborates With Clinical & Operational Teams ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Logist IT

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding experience and a strong background in Python, PySpark, and Object ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Talkspace

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Logist IT

Sr. AWS Data Engineer

OR · Remote

$50 - $60/hr

Remote in USA Job Type : Full time looking for only W2 Detailed We are currently seeking a Senior Data Engineer with hands-on coding experience and a strong background in Python, PySpark, and Object ...

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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 Aug 5, 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 is a remote senior data engineer?

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?

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% 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.

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE • Remote

$92K - $125K/yr

Contractor

Posted 6 days ago

Job description

Job Title: Senior Data Engineer - 66129

Duration: 12+ Months

Location: Remote / Lincoln, Nebraska 


Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.

This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).

Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.

This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.

Primary Ownership

· Own the Scala/Spark application framework supporting Medicaid Encounter Processing.

· Own the Drools business rule implementation and ongoing rule maintenance.

· Own enterprise data ingestion processes for master data and source system files.

· Own Spark and Hive batch processing workflows.

· Own production issue investigation and application defect resolution.

· Own production releases, version management, and deployment coordination.

· Own application performance tuning and optimization.

· Own technical documentation, operational procedures, and knowledge transfer.

· Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.

Required Qualifications

· Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

· Strong hands-on development experience with Scala.

· Experience developing applications using Apache Spark 2.x and/or Spark 3.x.

· Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.

· Experience with Apache Hive 3.x for data processing and Hive table management.

· Experience implementing business rules using the Drools Rules Engine.

· Strong SQL development and query optimization skills.

· Experience supporting Linux-based production environments.

· Experience troubleshooting distributed Spark applications in production.

· Experience using Git and modern version control practices.

Preferred Qualifications

· Medicaid or healthcare experience.

· Experience with Medicaid Encounter Processing.

· Experience with Cloudera Manager, HDFS, and YARN.

· Experience integrating with IBM DataStage.

· Familiarity with AWS infrastructure supporting Cloudera.

· Experience with Agile, Jira, and Confluence.

Qualifications

 

Type

 

Category

 

Qualification

 

Description

 

Competency

 

Required

   

Skills

 

Architecture

 

Cloudera Data

  

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Distributed Data Processing

 

• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

 

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Drools

 

Experience implementing business rules using the Drools Rules Engine

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Scala

 

• Strong hands-on development experience with Scala.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

SQL and Linux

 

• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments

  

Yes

  

Skills

 

Others

 

Apache experience

 

•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Cloudera

 

• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions

  

No