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Data Analytics Engineer Jobs in Tennessee (NOW HIRING)

Senior Software Engineer, OCI Data Analytics

Nashville, TN · On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Software Engineer, OCI Data Analytics

Nashville, TN · On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Digital Enterprise Data Engineer

Arnold Air Force Base, TN · On-site

$89K - $119K/yr

  • Medical

  • Retirement

  • PTO

Engineering/Digital Enterprise Directorate: Engineering Tech & Support Position Type: Regular ... Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights ...

Senior Software Engineer, OCI Data Analytics

Nashville, TN · On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, Operational systems, web analytics, and third-party datasets for analysis * Research and implement ...

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 ...

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 16, 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 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.

Data Analyst - Physical Infrastructure

SpaceXAI

Memphis, TN • On-site

Full-time

Re-posted 14 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 72 rated aerospace companies


Job description

Job Summary:
xAI is a company focused on creating AI systems that enhance humanity's understanding of the universe. They are seeking a Data Analyst to join their Infrastructure team, responsible for analyzing power and cooling performance data and delivering insights to optimize physical infrastructure for AI supercomputing.
Responsibilities:
• Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
• Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
• Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar)
• Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
• Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
• Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections
• Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
• Present clear, actionable insights and recommendations to cross-functional teams and leadership
Qualifications:
Required:
• 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
• Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling
• Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent
• Solid foundation in statistics, time-series analysis, and forecasting techniques
• Experience working with large datasets and building scalable reporting solutions
• Excellent written and verbal communication skills
Preferred:
• Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
• Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
• Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
• Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling
• Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field
Company:
SpaceXAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing. It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


SpaceX logo

About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US