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Data Analytics Engineer Jobs in Tennessee (NOW HIRING)

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by ... Partner with engineering, finance, product, and business stakeholders to understand requirements ...

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

To be successful in this role, your experience and competencies are: • Currently pursuing or recently completed a degree in Data Analytics, Business, Computer Science, Engineering, or a related ...

To be successful in this role, your experience and competencies are: · Currently pursuing or recently completed a degree in Data Analytics, Business, Computer Science, Engineering, or a related ...

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

Description We are seeking a Full Stack Data Engineer to join our Data & Analytics team. This role is for someone who is genuinely strong with databases and great at connecting things together: you ...

Showing results 41-60

Data Analytics Engineer information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do data analytics engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analytics engineer in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Tennessee?

The most popular types of Data Analytics Engineer jobs in Tennessee are:

What job categories do people searching Data Analytics Engineer jobs in Tennessee look for?

The top searched job categories for Data Analytics Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Data Analytics Engineer jobs?

Cities in Tennessee with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Senior Software Engineer, OCI Data Analytics

Oracle

Nashville, TN • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Oracle rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

56th of 246 rated software companies


Job description


Oracle Cloud Infrastructure (OCI) is seeking an AI-native Software Developer 3 to join our fast-moving data and platform engineering team. This role is for an engineer with strong general software engineering fundamentals, solid hands-on coding ability, and the curiosity to learn quickly in complex technical domains. Python experience is valuable, but the larger requirement is practical engineering range across the kinds of systems that power operations, planning, and integration at scale. You will work on the kinds of tools and services modern coding agents are good at accelerating: internal platforms, automation, APIs, developer workflows, data-connected services, operational tooling, and shared technical infrastructure. Just as importantly, you will be expected to bring engineering judgment that does not blindly trust generated output.
This is a role for someone who can use AI coding tools as leverage while still owning the architecture, validation, and production quality of what ships.
The Team
We are a technical team that owns tooling and data pipelines for Oracle Cloud's Capacity and Product Management teams. We work across planning workflows, internal tools, automation, service integrations, and shared infrastructure. Some work looks like data engineering, some looks like platform engineering, and some looks like developer productivity.
Example projects may include optimizing datacenter and server buildout schedules, building source-of-truth systems for the cloud supply chain, developing interfaces that connect critical systems across the ecosystem, and supporting shared networked platforms for hosting AI skills and knowledge centers.
As we grow, we are looking for engineers who can contribute quickly, learn new domains fast, and raise the quality bar for how AI-assisted software gets designed, tested, and maintained.
Responsibilities
Key Responsibilities
Builder: Design and implement production-quality software using the right tools for the problem. Build APIs, services, automations, internal tools, and developer-facing systems that solve concrete business and operational problems.
AI-Native Engineer: Use modern coding agents and AI-assisted development workflows effectively, but with skepticism and discipline. Treat generated code as a starting point, not a finished answer.
Technical Reviewer: Review AI-generated and human-written code for correctness, maintainability, security, observability, and operational fit. Catch weak abstractions, missing edge cases, poor test coverage, and fragile system boundaries.
Systems Thinker: Work across application logic, CI/CD, DevOps workflows, service integration, data-connected systems, and networking fundamentals. Understand how software behaves in real environments, not just in isolated local demos.
Problem Solver: Thrive in ambiguous environments by taking loosely defined problems and turning them into bounded, reviewable engineering steps. Ask good questions, identify the actual source of truth, and avoid cargo-cult implementations.
Continuous Learner: Ramp quickly on new tools, domains, and codebases. Bring curiosity, initiative, and evidence that you build and learn outside the narrow minimum required by a role.
Team Player and Communicator: Collaborate well with peers, product partners, and adjacent technical teams. Communicate tradeoffs, risks, and progress clearly in writing and conversation.
Candidate Profile
  • 2+ years of relevant software engineering experience.
  • Strong general programming experience across software design, APIs, debugging, testing, and data structures. Python experience is a plus, but broader engineering capability matters more than expertise in one language.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Experience with developer tooling, CI/CD, DevOps practices, and basic networking concepts.
  • Comfort working across code, infrastructure, and runtime behavior to diagnose issues end to end.
  • Experience or strong interest in systems that support planning, operational decision-making, supply chain visibility, systems integration, or shared technical platforms.
  • Experience using AI coding tools, code generation, or agentic workflows in a practical engineering setting.
  • Strong judgment about when generated code is acceptable and when it needs to be challenged, rewritten, or rejected.
  • Evidence of being a passionate learner. This can include side projects, open source work, technical writing, hackathons, clubs, research, teaching, internships, or other sustained extracurricular initiative.
  • Good written and verbal communication skills.
  • Ability to operate with partial information and still make disciplined engineering progress.

Preferred Qualifications
  • Experience building internal tools, workflow automation, or developer productivity systems.
  • Experience with cloud services, service-to-service integrations, and operational telemetry.
  • Experience writing reliable tests at multiple layers, including unit, integration, and failure-path coverage.
  • Experience working in environments where requirements evolve quickly and judgment matters as much as speed.
  • Experience with scheduling, planning, source-of-truth system design, or cross-system workflow integration is a plus.

Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $89,200 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC3
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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About Oracle

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An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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