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Data Engineer Data Analyst Jobs in Chattanooga, TN

Insight Global

Data Engineer

Chattanooga, TN · On-site

$100K - $135K/yr

Data Engineer - ERP Modernization & Cloud Migration Location: Chattanooga, TN Schedule: 4 days ... Experience with Tableau reporting and analytics

TecTammina

Data Analyst

Chattanooga, TN · On-site

Excellent skills in logical and physical data modeling and normalization of data. knowledge with Informatica data analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL.

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

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 ...

Unum UK

Manager, Data Engineering

Chattanooga, TN

The Manager, Data Engineering leads a team responsible for designing and delivering scalable data ... Guide the design, development, and implementation of data pipelines, analytical databases, and ...

Munich Re

Data Scientist

Chattanooga, TN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Chattanooga, TN

Data Engineer Data Analyst information

See Chattanooga, TN salary details

$31K

$75.2K

$123.8K

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

As of Sep 1, 2026, the average yearly pay for data engineer data analyst in Chattanooga, TN is $75,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Chattanooga, TN as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution, with an average salary of $75,246 per year, or $36.2 per hour.

Data Engineer

Chattanooga, TN • On-site

Insight Global
See more jobs at Insight Globalexternal

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Data Engineer - ERP Modernization & Cloud Migration

Location: Chattanooga, TN
Schedule: 4 days onsite, Fridays remote
Type: Direct Hire/Permanent
Salary: Up to $130,000


About the Role

Transportation Enterprise Leasing (TEL) is seeking a Data Engineer to support a large-scale ERP modernization initiative. This role will focus on migrating critical business data from legacy systems into a modern cloud-based environment as the company transitions to a new ERP platform. The ideal candidate will have strong experience with data engineering, cloud technologies, data migration, and business-facing collaboration.

This individual will play a key role in ensuring data is accurately transformed, validated, and optimized for reporting and analytics while working closely with technical teams, business stakeholders, and subject matter experts throughout the migration process.


Day-to-Day Responsibilities

  • Participate in project and migration status meetings with cross-functional teams
  • Design, develop, and maintain data pipelines supporting ERP migration efforts
  • Extract, transform, and load (ETL/ELT) data between legacy and cloud-based platforms
  • Validate migrated data to ensure completeness, accuracy, and consistency
  • Investigate and resolve data quality issues throughout the migration lifecycle
  • Partner with business users and SMEs to verify business-critical data
  • Develop reporting-ready datasets for analytics and business intelligence consumption
  • Support reporting and analytics teams through data modeling and dataset optimization
  • Collaborate closely with modernization and ERP project teams to meet key implementation milestones


Required Qualifications

  • 5-10 years of Data Engineering experience
  • Advanced SQL development and data manipulation skills
  • Hands-on experience with Databricks
  • Experience working within Microsoft Azure cloud environments
  • Strong background in data migration, including data transformation, cleansing, validation, and reconciliation
  • Experience building and optimizing datasets for reporting and analytics
  • Ability to work directly with business stakeholders, SMEs, and cross-functional teams
  • Excellent communication and collaboration skills
  • Experience with Tableau reporting and analytics