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Data Engineer Jobs in Jackson, MS (NOW HIRING)

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117.20K - $140.70K/yr

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 ...

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$113K

$154.7K

How much do data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for 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 Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

More about Data Engineer jobs
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 Data Engineer jobs in Jackson, MS? For Data Engineer jobs in Jackson, MS, the most frequently searched job titles are:
What cities near Jackson, MS are hiring for Data Engineer jobs? Cities near Jackson, MS with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Jackson, MS as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $113,038 per year, or $54.3 per hour.

Senior Azure Data engineer

Accord Technologies Inc.

Jackson, MS • Remote

$117.20K - $140.70K/yr

Contractor

Posted 21 days ago

Job description

Title: Azure Data Engineer
Location: Jackson, MS (Remote)
Duration: 60 months
Position type: Contract.
 
Job Description and Qualifications:
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
A minimum of 10 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.
Experience with student information management systems and K-12 data and reporting
 Any state govt education department domain experience would be preferred.
 Experience with Common Education Data Standards (CEDS)
 Azure Data Engineer Associate certification