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Remote Senior Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

New York, NY · Remote

$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 ...

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 ...

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 ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The Senior Data Engineer will work with technical teams, program leadership, and government ...

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable extension LOCATION REMOTE (off-shore or near-shore), Malvern, PA 19355 INTERVIEW MS TEAMS ...

New

SENIOR DATA ENGINEER

Malvern, PA · Remote

$104K - $141K/yr

ROLE SENIOR DATA ENGINEER INDUSTRY Pharma, Development & Manufacturing DURATION CONTRACT, probable extension LOCATION REMOTE (off-shore or near-shore), Malvern, PA 19355 INTERVIEW MS TEAMS ...

New

Sr Data Engineer

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals.

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

Senior Data Engineer

Phoenix, AZ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Senior Data Engineer

Iselin, NJ · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... remote Schedule Monday through Friday Pay Transparency The salary range for this position is $105 ...

Showing results 21-40

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 Sep 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 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.

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.

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 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.

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:

Infographic showing various Remote Senior Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Sr. Data Engineer - Provider Registry - Remote

NAVA Software Solutions

Bedminster, NJ • On-site, Remote

$116K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Sr. Data Engineer - Provider Registry
Details:
Sr. Data Engineer - Provider Registry
Location: Remote project
Duration: 6-12 months
The Senior Data Engineer will apply a logical, systematic approach to problem-solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to identify and qualify the Provider Registry and make recommendations to resolve business problems and help drive change. This involves gathering, manipulating and synthesizing data, models and other relevant information to draw conclusions and provide segmentation of the Provider Registry.The right person for this role will have a background in Data Engineering, will have rich experience building robust software solutions, and will have experience working with large data sets.
What You Will Do:
  • Applying new algorithms to enable fuzzy matching
  • Scaling application of the algorithm using dataframes such as Pandas and GPUs
  • Applying new algorithms to introduce new linkages from the data
  • Segmentation using diverse intuitive and non-intuitive data points and potentially fuzzy matching data sources
  • Working to design and build new approaches to measuring quality and improving algorithms and matching processes
  • Working with the data platform to build solutions
  • Prepare reports and present analytic results in non-technical language with an orientation toward answering questions and addressing issues

Skills and Experience You Will Need:
  • Experience building production data pipelines with distributed data processing technologies.
  • Hands-on and deep experience with schema design and data modeling.
  • Proficiency in Python and are passionate about writing clean, supportable code.
  • Advocacy for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.
  • Technical thought leadership
  • Proficient business skills to understand problems and build the algorithms necessary to find the right answers applicable to the business needs
  • Experience and enjoy mentoring others.

Ideal Candidate:
  • 5+ years experience as a Data EngineerDeveloper
  • Python
  • Experience with Scala, Pandas
  • Experience debugging complex data pipelines
  • Experience with Unix/Linux
  • Azure or AWS experience
  • Experience with databases
  • RDBMS/SQL
  • Experience with data normalization

Desired Skills:
  • Experience with Big Data fundamentals
  • Machine learning libraries on Python (including unsupervised learning models)
  • Hadoop, Spark, Parquet
  • Experience with AWS
  • Experience with APIs
  • Experience with Java
  • Experience with streaming technologies
  • Kafka, Flink, Spark Streaming
  • Experience with NoSQL databases
  • Experience with monitoring tools
  • Knowledge of K8s/Docker

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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