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Data Engineer Jobs in Jackson, MS (NOW HIRING)

Element Materials Technology

Data Processor

Jackson, MS · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element Materials Technology

Data Processor

Jackson, MS · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Amazon

Data Center Technician

Canton, MS · On-site

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Amazon

Data Center Technician

Canton, MS

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Amazon

Data Center Technician

Canton, MS

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Amazon

Data Center Technician

Canton, MS · On-site

Data Center Technicians should be willing to work both independently and with a team. Work ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Jackson, MS

Data Engineer information

See Jackson, MS salary details

$38.8K

$113K

$154.7K

How much do data engineer jobs pay per year?

As of Aug 10, 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 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.

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.

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 is a data engineer?

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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 job categories do people searching Data Engineer jobs in Jackson, MS look for? The top searched job categories for Data Engineer jobs in Jackson, MS 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 August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,038 per year, or $54.3 per hour.

Senior Data Modeler

Blue Cross and Blue Shield of North Carolina

Jackson, MS • On-site

$107K - $172K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

189th of 304 rated insurance

Job description

Job Description

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

What You'll Do

  • Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.

  • Requirement Analysis: Analyzes data to verify business requirements and design the data models.

  • Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversee and govern the expansion of existing data architecture.

  • Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.

  • Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.

  • Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.

  • Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.

  • Leading and mentoring - Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

Preferred Experience

  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort

  • Healthcare domain experience preferred especially EHR/Clinical domain

  • Exposure working on Snowflake platform.

  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.

  • Working experience on ERStudio or similar data modeling tool

  • Extensive experience of ER and Dimensional modeling concepts

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

WhereYou'llWork

Our Hybrid Flex approach is builton presencewith a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplacethat'sflexible, connected, and future focused.

In a Hybrid-Flex role,you'llwork in the office at least two days a week for collaboration and connection. In a Remote Flex role,you'llwork virtually, with a few in-office visits each year formeaningfulmoments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in anystateslistedonthis job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$107,901.00 - $172,642.00

Skills

Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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