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Data Engineer Jobs in Memphis, TN (NOW HIRING)

SpaceXAI

Software Engineer - Data Center

Memphis, TN · On-site

$111K - $133K/yr

The Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner ...

SpaceXAI

Software Engineer - Data Center

Memphis, TN · On-site

$111K - $133K/yr

The Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner ...

Apex Systems

Data Center Operations Engineer

Memphis, TN · On-site

$45 - $50/hr

Data Center Operations Engineer Location: Memphis, Tennessee (100% Onsite) Contract Duration: 10 months Pay Rate: $45/hr - $50/hr Note: We are not able to consider C2C or third-party submissions Role ...

Apex Systems

Data Center Operations Engineer

Memphis, TN · On-site

$62 - $69/hr

Provide day-to-day data center operational support. * Escort and coordinate with dispatched field engineers. * Manage parts shipping, receiving, and inventory. * Maintain and update environment ...

Amgen

Sr. Data Scientist - Process Modeling

Memphis, TN · On-site

Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ... Work closely with engineers to identify opportunities for process design improvements for Amgen ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Memphis, TN

Data Engineer information

See Memphis, TN salary details

$39.2K

$114.4K

$156.5K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Memphis, TN is $114,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $121,200.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Memphis, TN?

The most popular types of Data Engineer jobs in Memphis, TN are:

What are popular job titles related to Data Engineer jobs in Memphis, TN?

For Data Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Memphis, TN look for?

The top searched job categories for Data Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Data Engineer jobs?

Cities near Memphis, TN with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,369 per year, or $55 per hour.

Data Database Administrator Engineer

Gateway Group Personnel

Oakland, TN • Hybrid

Full-time

Re-posted 16 days ago

Job description

Data Database Administrator Engineer 

Greater Memphis Area | Hybrid Opportunity
A growing industry leader is seeking a Data Infrastructure Engineer (DBA) to support and modernize a complex data environment spanning both on-premises and Microsoft Azure platforms. This role will play a key part in database administration, cloud migration initiatives, performance optimization, security, and high-availability architecture supporting critical business operations across a large manufacturing enterprise.

This is an excellent opportunity for a database professional who enjoys working across infrastructure, cloud technologies, and enterprise data platforms while helping drive long-term modernization efforts.
What You'll Do
  • Administer and support SQL Server environments across on-premises and Azure platforms
  • Lead and support cloud migration initiatives and hybrid database architectures
  • Manage database backups, restores, upgrades, patching, and ongoing maintenance
  • Monitor and optimize database performance, availability, and scalability
  • Design, implement, and support high availability and disaster recovery solutions
  • Perform capacity planning, storage management, and infrastructure optimization
  • Troubleshoot production issues and ensure operational stability
  • Maintain database security, compliance, and governance standards
  • Develop automation solutions using PowerShell and T-SQL
  • Partner closely with software developers, BI teams, data engineers, and infrastructure teams to deliver scalable solutions
What We're Looking For
  • 5+ years of SQL Server Database Administration experience
  • Strong experience supporting SQL Server 2016+ environments
  • Hands-on experience with Azure SQL technologies
  • Advanced T-SQL development and performance tuning skills
  • Experience implementing and supporting HA/DR solutions
  • Strong troubleshooting, analytical, and problem-solving abilities
  • Excellent communication and collaboration skills
Preferred Experience
  • .NET and C# development exposure
  • Azure DevOps and CI/CD pipelines
  • SSIS, SSRS, SSAS, and Power BI
  • Azure Data Factory or other ETL platforms
  • Data warehousing and business intelligence environments
  • Manufacturing, distribution, or large-scale enterprise environments