ZipRecruiter

Log In

1

Data Analytics Engineer Jobs in Tennessee (NOW HIRING)

Career Search

Data Engineer

Brentwood, TN

$108K - $130K/yr

Develop and maintain production-grade analytics solutions within Azure ecosystem * Build ... Python programming skills for data manipulation, automation, and analytics * Power BI expertise ...

OneOncology

Lead Data Engineer

Nashville, TN · On-site

$99K - $130K/yr

Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams * Contribute to a culture of clear goals, open feedback, and continuous growth across the team.

OneOncology

Lead Data Engineer

Nashville, TN · Remote

$99K - $130K/yr

Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams * Contribute to a culture of clear goals, open feedback, and continuous growth across the team.

Pilot Flying J

Engineer II, Analytics

Knoxville, TN · On-site

Integrate data from disparate sources (internal and external) into data products that are consumed ... Minimum 3 years' experience in analytics/engineering or related industries preferred * Expertise in ...

next page

Showing results 1-20

People also search for

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Tennessee

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 Jun 11, 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 deliver actionable insights.
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 are popular job titles related to Data Analytics Engineer jobs in Tennessee? For Data Analytics Engineer jobs in Tennessee, the most frequently searched job titles 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:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Tennessee as of June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

Data Analyst - Physical Infrastructure

xAI

Memphis, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
xAI is on a mission to create AI systems that aid humanity in its pursuit of knowledge. The Data Analyst will be responsible for analyzing power and cooling performance data, developing forecasts for utility consumption, and delivering data-driven 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:
XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning and search capabilities. 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.

Apply