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Remote Data Engineer Jobs in Jackson, MS (NOW HIRING)

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

Senior Transformer Engineer

Crystal Springs, MS · On-site +1

$87K - $120K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Create and review test trip packs, validate test data, and compile reports. * Offer 24/7 technical ...

Senior Azure Engineer

Jackson, MS · Remote

$111K - $151K/yr

Jackson, MS (Remote) Job Type: long term contract The Senior Azure Engineer is a strategic ... and data systems. The engineer will automate processes, establish governance, and mentor team ...

Engineering & Science Job Schedule: Full time Remote: Yes High Voltage Test Engineer The ... Candidate data is processed in accordance with applicable data protection and employment laws as ...

Android Mobile Developer

Jackson, MS · Remote

$57 - $75/hr

Jackson, MS 39211 - Remote Duration: 4 months Required Skills: Acquire knowledge of programming ... Prepare test data and validate software for accuracy. Perform other duties as assigned. Bachelor ...

TITLE - POWERBI DEVELOPER LOCATION - JACKSON-MS - REMOTE DURATION - 5 YEARS CONTRACT Position ... This role requires a deep understanding of Power BI Data models, report creation, and visualization ...

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Showing results 1-20

Remote Data Engineer information

See Jackson, MS salary details

$38.8K

$113K

$154.7K

How much do remote data engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote data engineer in Jackson, MS is $113,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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 Jackson, MS?

The most popular types of Data Engineer jobs in Jackson, MS are:

What are popular job titles related to Remote Data Engineer jobs in Jackson, MS?

For Remote Data Engineer jobs in Jackson, MS, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Jackson, MS look for?

The top searched job categories for Remote Data Engineer jobs in Jackson, MS are:

What cities near Jackson, MS are hiring for Remote Data Engineer jobs?

Cities near Jackson, MS with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Jackson, MS as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,038 per year, or $54.3 per hour.

SME Azure Data Engineer

Noblesoft Technologies

Jackson, MS • Remote

$117K - $140K/yr

Contractor

Re-posted 16 days ago


Job description

Role: SME Azure Data Engineer

Location: Jackson, MS 39211 – Remote

Duration: 5 years

 

Bachelor’s degree required 

Position Description:

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems.

  • Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data from multiple source systems.
  • Implement and manage data models, views, and performance tuning in Azure SQL and Synapse environments.
  • Monitor, troubleshoot, and resolve data pipeline and performance issues.
  • Document data flows, transformations, and technical standards.
  • Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and state reporting.

Required Skills:

A minimum of 5 years of experience in the following:

  • Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization).
  • Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based platforms (dedicated and serverless SQL pools).
  • Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and performance tuning.
  • Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
  • Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor systems.
  • Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.

Preferred Skills:

  • Experience with student information management systems and K-12 data and reporting
  • Experience with Common Education Data Standards (CEDS)
  • Azure Data Engineer Associate certification