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Trainee Databricks Data Engineer Jobs in Chattanooga, TN

FocusKPI

Marketing Operations Analyst

Chattanooga, TN · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

SOHO Consulting, LLC

Task Force Manager

Chattanooga, TN · On-site

... trainees. • Adhere to all SOHO Consulting policies and procedures and train new managers to ... Analyze previous and projected data to generate an accurate reforecast. • Prepare and conduct all ...

All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Chattanooga, TN

Trainee Databricks Data Engineer information

See Chattanooga, TN salary details

$40.5K

$118.1K

$161.6K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for trainee databricks data engineer in Chattanooga, TN is $118,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $125,200.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Chattanooga, TN?

The most popular types of Databricks Data Engineer jobs in Chattanooga, TN are:

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

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

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

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

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

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

Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Chattanooga, TN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,110 per year, or $56.8 per hour.

Azure Data Engineer (Microsoft Fabric)

Kanak Elite Services Inc

Rossville, GA • On-site

$98K - $118K/yr

Contractor

Re-posted 9 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Azure Data Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com 

Job Description

Position           : Azure Data Engineer

Location          : Roswell, GA Hybrid/Remote

Duration         : Long term contract

Description

The client is transitioning into Microsoft Fabric, and this role will play a key part in that journey. The Data Engineer will be responsible for building and maintaining end-to-end data pipelines for analytics solutions, leveraging Microsoft Azure Cloud, Azure Synapse Analytics, and Microsoft Fabric.

Qualifications (Must-Have):

  • Minimum of 8–10 years of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions.
  • Hands-on experience with Microsoft Fabric for data pipelines, modeling, and analytics.
  • Proficiency with Microsoft Azure data services, including Azure Synapse Analytics.
  • Strong SQL, data modeling, and ETL/ELT development skills.
  • Experience working within a scaled agile framework for data engineering product delivery.
  • Microsoft Azure certifications in analytics technologies are a plus.
  • 4+ years of experience with ETL and cloud data technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI (or equivalent platforms).
  • 4+ years of experience in big data scripting languages such as Python, SCOPE, or SQL.
  • 4+ years of experience in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).

Responsibilities:

  • Build and maintain end-to-end data pipelines across Azure Synapse Analytics and Microsoft Fabric.
  • Develop and implement solutions on the Azure cloud platform to support a modern enterprise data platform.
  • Partner with cross-functional teams to ensure data is collected, stored, processed, and analyzed in a timely, efficient, and accurate manner.
  • Design, develop, and implement analytics solutions on Azure Synapse Analytics.
  • Develop ETL/ELT processes for large-scale data ingestion, ensuring data quality and pipeline performance.
  • Transform and model data to meet business requirements, loading it into Azure Synapse SQL Warehouse/Azure Data Lake Storage.
  • Implement monitoring and error handling processes for reliable data integration.
  • Optimize pipelines for cost and performance through query tuning, caching, and resource management.
  • Automate repeatable data preparation tasks to reduce manual processes.
  • Collaborate with data governance, cloud service providers, visualization, and IT/business teams to deliver analytics solutions.
  • Provide troubleshooting, analysis, and production support for existing solutions, including enhancements.

Skills:

  • Strong SQL, data modeling, data warehouse, and OLAP concepts.
  • Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, and CI/CD.
  • Familiarity with data integration tools (e.g., Qlik Replicate) and data modeling tools (e.g., Erwin) is a plus.
  • Familiarity with data lake medallion architecture and unified data models.
  • Familiarity with contextualization products (e.g., Cognite) is a plus.
  • Experience with visualization tools such as Microsoft Power BI and Tableau.
  • Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts.
  • Experience with Microsoft SSIS, SSRS, and SSAS is a plus.

Competencies:

  • Strong communication and presentation skills, able to engage with technical and non-technical stakeholders across IT and business teams.
  • Collaboration & Building Partnerships – Skilled at developing and leveraging relationships across groups to deliver results.
  • Drive for Results – Takes ownership and proactively acts to achieve objectives and goals.
  • Continuous Improvement – Identifies opportunities, generates ideas, and implements solutions to improve processes and conditions.