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Remote Data Engineer Jobs in Huntsville, AL (NOW HIRING)

Lead simple data modeling and data conversion definition activities * Performs complex ... A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

General Engineer

Redstone Arsenal, AL · On-site +1

$130K - $197K/yr

... data analytics, cyber testing, power systems, parts / materials, industrial & manufacturing, sustainability, reliability, international requirements, and/or specialty engineering. Experience refers ...

Showing results 41-60

Remote Data Engineer information

See Huntsville, AL salary details

$43.8K

$127.8K

$174.9K

How much do remote data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data engineer in Huntsville, AL is $127,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Huntsville, AL?

The most popular types of Data Engineer jobs in Huntsville, AL are:

What are popular job titles related to Remote Data Engineer jobs in Huntsville, AL?

For Remote Data Engineer jobs in Huntsville, AL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Huntsville, AL look for?

The top searched job categories for Remote Data Engineer jobs in Huntsville, AL are:

What cities near Huntsville, AL are hiring for Remote Data Engineer jobs?

Cities near Huntsville, AL with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,813 per year, or $61.4 per hour.

Data Scientist (Direct Hire)

Headquarters, NASA

Huntsville, AL • On-site, Remote

$125K - $197K/yr

Full-time

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


Job description

Summary
As a senior Data Scientist, you serve as a technical authority guiding agency data and analytic systems. You lead the design and deployment of advanced statistical and machine learning models, establish standards for data quality and model validation, architect analytic environments, and advise leadership on data and analytic strategy to support mission priorities.
Learn more about this agency
Duties
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  • Duties assigned at lower grade levels will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
  • Define agency standards and reference architectures for data and artificial intelligence engineering solutions.
  • Lead the design, define agency standards and reference architectures for data and artificial intelligence engineering solutions.
  • Establish machine learning operations practices, including model packaging, deployment, monitoring, and risk controls.
  • Direct implementation of artificial intelligence governance, privacy protections, and access controls for enterprise data systems.
  • Architect analytic environments and data designs and guide lineage, documentation, and environment transition practices.
  • Oversee integration of statistical and machine learning methods into operational systems to ensure reproducibility and security.
  • Set and oversee data quality, model validation, and documentation standards and monitor organizational compliance.
  • Lead metadata, catalog stewardship, including tagging, classification, lineage, and certification processes.

Requirements
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Conditions of employment
  • This position is open to U.S. citizens, nationals or those who owe allegiance to the U.S.
  • This position may require a one-year probationary period. If selected, the requirement to serve such period will be determined by Title 5 of the Code of Federal Regulations, Part 11. **See Additional Information section**
  • You must meet qualifications requirements by the closing date of this announcement.
  • Position subject to pre-employment background investigation or higher-level clearance. Investigation/Clearance may differ and be required based on the duty location/NASA Center requirements.
  • Financial Disclosure, Drug Testing, and/or the Travel Requirements for this position may differ and be required based on the duty location/NASA Center requirements.
  • To be considered for employment, you must submit your complete application by 11:59 PM ET on August 27, 2026.

Qualifications
Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.
To qualify for GS-14, you must have one year of directly related specialized experience equivalent to the GS-13 level:
  • Leading the design and deployment of statistical or machine learning models and enterprise data pipelines that support mission or program decisions.
  • Establishing organization-wide standards for data quality, model validation, and technical documentation and overseeing adherence to those standards.
  • Developing and implementing machine learning operations practices, including model deployment, monitoring, and governance across multiple environments.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job.
Please visit https://www.nasa.gov/careers/how-to-apply/#Artificial-Intelligence to review NASA's guidance on the use of artificial intelligent (AI) or AI-assisted tools during the application process.
Education
Basic Requirement:
You must have successfully completed a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree with a major in mathematics, statistics, computer science, data science or field directly related to the position.
OR
Have a combination of education and experience equivalent to a major field of study (30 semester hours) equivalent to one of the majors shown above, plus additional education or appropriate experience.
U.S. degrees must have been awarded from colleges or universities that are accredited by recognized accrediting organizations. For a list of schools that meet this criteria, go to http://ope.ed.gov/accreditation/.
If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs. These education credentials must be deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.
All degrees must have been received in the year of, or any year subsequent to the original date of accreditation.
Additional information
Additional selections may be made for similar positions across NASA within the local commuting area(s) of the location(s) identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) within NASA. CTAP/ICTAP will be cleared for any additional selection from this announcement.
By applying, you agree to have your application shared with interested selecting official(s) within NASA. CTAP/ICTAP will be cleared for any additional selection from this announcement.
If you have special priority selection rights under the Agency Career Transition Assistance Program (CTAP) or the Interagency Career Transition Assistance Program (ICTAP), you must:
- Indicate your eligibility when applying for a position. The questionnaire asks you to identify your ICTAP/CTAP eligibility.
- Meet the minimum qualifications requirements for the position
- Submit proof that you meet the requirements for CTAP/ICTAP as indicated in 'Required Documents.'
For additional information about CTAP/ICTAP eligibility, click here - https://www.opm.gov/policy-data-oversight/workforce-restructuring/employee-guide-to-career-transition/#ictap.
Any applicant that received a Voluntary Separation Incentive Payment (VSIP) from the federal governmentwithin the last five years based of the closing date of this announcement, if selected, may be required to repay the full amount prior to establishing a start date. For additional information on the VSIP repayment requirement, click here - https://www.opm.gov/policy-data-oversight/workforce-restructuring/voluntary-separation-incentive-payments/.
Per Executive Order 14343, this position is not part of a bargaining unit.
Probationary Period
You may be required to serve a one-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. If selected, the requirement to serve such period will be determined by Title 5 of the Code of Federal Regulations, Part 11.
In determining if your employment advances the public interest, we may consider:
  • your performance and conduct;

  • the needs and interests of the agency;

  • whether your continued employment would advance organizational goals of the agency or the Government; and

  • whether your continued employment would advance the efficiency of the Federal service.

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.