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

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

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

Sr. Project Engineer

Jackson, MS · On-site

$86K - $112K/yr

Overview: The Sr. Project Engineer role will oversee and execute the project controls and ... Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer ...

Senior Manufacturing Engineer

Crystal Springs, MS · On-site

$76K - $104K/yr

No Senior Manufacturing Engineer (Crystal Springs, MS) The Opportunity In this role, you will ... Analyze manufacturing process flows and production data to improve safety, quality, throughput, and ...

Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools ... Position:-- Sr. Web Developer Location:-- Flowood. MS Duration:-- 8+ Months The Senior Web ...

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Senior Data Engineer information

See Jackson, MS salary details

$70.6K

$110.1K

$152.5K

How much do senior data engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior data engineer in Jackson, MS is $110,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
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 Senior Data Engineer jobs in Jackson, MS? For Senior Data Engineer jobs in Jackson, MS, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Jackson, MS look for? The top searched job categories for Senior Data Engineer jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Senior Data Engineer jobs? Cities near Jackson, MS with the most Senior Data Engineer job openings:

Data Engineer-Context Engineering

Southern Farm Bureau Life Insurance Co

Jackson, MS • On-site, Remote

$98K - $118K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Job description

Job Opportunity: Data Engineer – Context Engineering at Southern Farm Bureau Life Insurance Company

Company Overview: Southern Farm Bureau Life Insurance is a leading provider of life insurance and financial services. We are committed to serving our policyholders and communities with integrity and excellence. As a Data Engineer, you’ll be an essential part of our team, contributing to the success of our organization.

Location: Jackson, MS

Role and Responsibilities: Data Engineering is a key part of SFBLIC’s overall data modernization effort. The Data Engineering team is responsible for the design, development, and day-to-day reliability of SFBLIC’s enterprise data products. This role helps transform raw data from source systems into trusted, reusable, governed data products that align with specific analytics, operational reporting, and AI use cases.

The Data Engineer helps build and maintain repeatable ETL/ELT processes, supports governed access to data through virtualization, and uses meta-data driven processes to ensure compliance with enterprise data models, standards, and governance expectations.

For the AI/ML use cases, this role works with AI management to develop and monitor processes for context delivery, retrieval patterns, and embedding performance. That includes helping define, retrieve, and assemble relevant data models, business rules, policies, and reference data into context windows for AI/ML workflows.

The Data Engineer works closely with senior data engineers, analytics teams, and business partners to deliver data solutions that are reliable, scalable, well-governed, and useful for decision making.

Your responsibilities will include:

  • Build, enhance, and support ETL/ELT data pipelines that move data from source systems to data products. 
  • Monitor data product pipelines, identify issues, resolve common failures, and escalate complex problems to ensure access and quality reliability.
  • Support the development and maintenance of enterprise data models so that data is integrated consistently across subject areas. 
  • Work with analysts and data scientists to design, implement, and deliver semantic models needed for reporting, business intelligence, and AI workflows.
  • Make controlled updates to databases, data pipelines, and virtual data layers, including testing, validation, and promotion through the proper change management process. 
  • Help create reusable data domains and datasets that connect technical data structures to clear business meaning. 
  • Help establish consistent naming conventions, metadata standards, and semantic clarity across data
  • Follow enterprise Data Governance standards, including expectations for data quality, lineage, security, access controls, and responsible data use. 
  • Collaborate across Data and IT teams to support integration strategies for internal and external data sources and contribute to a cohesive, scalable data architecture. assets. 

Qualifications:

  • Minimum 4 Year / Bachelors Degree-Bachelor's Degree (Math, Computer Science, Information Systems, Statistics Preferred) or a combination of education and experience
  • Preferred Graduate Degree-Graduate Degree in Computer Science, Math, Statistics, Information Systems, Data Science
  • Minimum of 2 years of experience in data engineering or comparable programming/design experience
  • Experience working at Southern Farm Bureau Life in a role requiring an understanding of the underlying data for various SFB systems preferred.
  • Working knowledge of ETL/ELT processes from source systems to target systems.
  • Working knowledge of the DE development life cycle. (Such as the ability to troubleshoot merge conflicts).
  • Advanced working SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases
  • Experience performing root cause analysis on internal data and processes to answer specific business issues and identify opportunities for improvement
  • Ability to establish measurable outcomes and create processes for monitoring progress towards established goals.
  • Ability to make well-informed, effective and timely decisions, even when data is limited or solutions produce unpleasant consequences; perceive the impact and implications of decisions.
  • Must effectively demonstrate the company’s core values.

Employee Benefits: We value our employees’ well-being and offer a comprehensive benefits package:

  1. Health Insurance:
    • Comprehensive coverage for employees and their families.
    • Access to an onsite clinic, preventive care, and prescription drugs.
    • Mental health coverage and an Employee Assistance Program.
  2. Active Lifestyle Rewards Program:
    • Incentives for maintaining an active lifestyle.
    • Rewards for participating in fitness challenges and wellness activities.
  3. Weight Management Programs:
    • Customized weight management plans.
    • Support for achieving and maintaining a healthy weight.
  4. Employee Engagement:
    • Opportunities to connect with colleagues.
    • Fun teambuilding activities.
  5. Annual events for employees and their families
    • Company Picnic, Thanksgiving lunch, Christmas Reception.
    • Family Fun Night
  6. Onsite Cafe:
    • Convenient access to nutritious meals.
    • Promoting healthy eating habits.
  7. Learning & Development:
    • Continuous learning opportunities.
    • Tuition reimbursement for further education.
  8. Mentorship Programs:
    • Pairing employees with mentors.
    • Professional growth and guidance.
  9. Promotional Opportunities:
    • Advancement within the company.
    • Career growth prospects.
  10. Life Insurance and Company-Funded Pension:
    • Financial security for employees and beneficiaries.
    • Retirement planning.
  11. Volunteer Days:
    • Paid time off for volunteering.
    • Contributing to the community