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Software Engineer Data Analyst Jobs in Tennessee

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

... Science, Engineering, or a related field • Basic knowledge of data analysis and reporting ... Tableau, Power BI, Qlik software development and deployment • Understanding of business ...

Jobtailor

Senior Software Engineer

Nashville, TN · On-site

$120 - $180/hr

A real passion for solving complex software engineering puzzles in a dynamic environment * Deep ... Stripe, Redis, Postgres, large scale data analytics and failure analysis #J-18808-Ljbffr

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Wellvana

Staff Software Engineer

Nashville, TN · On-site

As a Staff Software Engineer, you will own the internal tooling layer that connects Wellvana's data platform to the analysts, clinical operations teams, and partners who depend on it. You'll design ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location ... Software development experience in languages such as Java, .NET, or Python . Experience with ...

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All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Tennessee

Software Engineer Data Analyst information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do software engineer data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for software engineer data analyst 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.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities in Tennessee are hiring for Software Engineer Data Analyst jobs? Cities in Tennessee with the most Software Engineer Data Analyst job openings:
Software Engineer Data Analyst jobs near you

Sr Engineer, Data Prsnliztn

Tractor Supply Company

Brentwood, TN • On-site

$108K - $130K/yr

Other

Medical, Dental, Vision, Life

Re-posted 17 days ago

Tractor Supply rating

5.7

Company rating: 5.7 out of 10

Based on 1,310 frontline employees who took The Breakroom Quiz

457th of 731 rated retailers

Job description

Overall Job Summary

The Senior Data Engineer for Data Personalization and Analytics is pivotal in executing our customer data personalization strategy using advanced analytics and engineering techniques. Specializing in SQL, Python, Adobe suite, Alteryx, and Azure, this role is at the heart of our data engineering efforts to model insights and support targeted campaigns. The Senior Data Engineer will also take a leading role in managing our digital analytics across various channels, ensuring data-driven decisions that enhance customer satisfaction and business growth.

Essential Duties and Responsibilities (Min 5%)
  • Develop and maintain scalable data/deployment pipelines, integrating various data sources using SQL, Python, and Alteryx, ensuring high data quality and accessibility.
  • Work closely with analytics and business teams to assist with data-related technical issues and support data infrastructure needs.
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Manage the deployment of analytics solutions on the Adobe platform.
  • Collaborate with cross-functional teams to align data personalization efforts, reporting measurable outcomes from digital and social campaigns.
  • Contribute to the management of the budget and resources dedicated to data personalization projects.
  • Foster an environment of continuous learning and development within the data analytics and personalization team.
     
Required Qualifications

Experience: 5+ years of experience in a data engineering role, with a strong background in SQL, Python, and data pipeline development.

Education:  Bachelor's degree in Computer Science, Engineering, or related field.

High Demand IT Specialized skills:  

  • Expertise in Python programming , SQL,  Alteryx and Tableau.
  • Experience with personalization suits like Adobe Campaign, Adobe Target, AEM.
  • Experience with cloud-based analytical tools (MS Azure, Snowflake, or similar).
     
Preferred knowledge, skills or abilities
  • Direct experience with large-volume customer data sets.
  • Experience connecting multiple disparate data sources in the course of analysis.
  • Strong analytical and problem-solving skills, with the ability to translate business objectives into analytical projects and solutions.
     
Working Conditions
  • Normal office working conditions
Physical Requirements
  • Sitting
  • Standing (not walking)
  • Walking
  • Kneeling/Stooping/Bending
  • Reaching overhead
  • Lifting up to 20 pounds
Disclaimer

This job description represents an overview of the responsibilities for the above referenced position.  It is not intended to represent a comprehensive list of responsibilities.  A team member should perform all duties as assigned by his/ her supervisor.

Company Info

At Tractor Supply and Petsense by Tractor Supply, our Team Members are the heart of our success. Their dedication, passion, and hard work drive everything we do, and we are committed to supporting them with a comprehensive and accessible total reward package. We understand the evolving needs of our Team Members and their families, and we strive to offer meaningful, competitive, and sustainable benefits that support their well-being today and in the future.
Our benefits extend beyond medical, dental, and vision coverage, including company-paid life and disability insurance, paid parental leave, tuition reimbursement, and family planning resources such as adoption and surrogacy assistance, for all full-time Team Members and all part-time Team Members. Part time new hires gain eligibility for TSC Benefits by averaging at least 15 hours per week during their 90-day lookback period. The lookback period starts the first of the month following the date of hire. If the 15-hour requirement was met, the benefits eligibility date will be the first day of the month following 4 months of continuous service.
Please visit this link for more specific information about the benefits and leave policies applicable to the position you're applying for.
 

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