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Senior Data Warehouse Developer Jobs in Tennessee

ZipLiens

Data Engineer

Franklin, TN · On-site

$89K - $120K/yr

... Senior Data Developer, or similar role. * Strong proficiency in SQL and experience with relational ... Familiarity with data warehousing concepts and data modeling principles. * Familiarity with ...

ZipLiens

Data Engineer

Franklin, TN · On-site

$89K - $120K/yr

... Senior Data Developer, or similar role. * Strong proficiency in SQL and experience with relational ... Familiarity with data warehousing concepts and data modeling principles. * Familiarity with ...

New

ZipLiens

Data Engineer

Franklin, TN · On-site

$89K - $120K/yr

... Senior Data Developer, or similar role. * Strong proficiency in SQL and experience with relational ... Familiarity with data warehousing concepts and data modeling principles. * Familiarity with ...

Stantec

Senior Data Architect

Nashville, TN · On-site

$65 - $87/hr

They are seeking a Senior Data Architect to design and implement data architecture strategies for ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Keylent Inc

Data Engineer/Admin

Franklin, TN · On-site

$55 - $72.75/hr

The role involves working with Hadoop and Big Data technologies, managing AWS cloud data warehouses ... programming and spark-based applications to load streaming data with minimal latency. • Hands on ...

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Senior Data Warehouse Developer information

See Tennessee salary details

$69K

$108.8K

$133.9K

How much do senior data warehouse developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data warehouse developer in Tennessee is $108,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $117,500.00 per year, depending on experience, location, and employer.

What is a senior data warehouse developer?

Senior Data Warehouse Developers are experienced IT professionals who design, build, and maintain large-scale data storage solutions known as data warehouses. Their work involves extracting, transforming, and loading (ETL) data from various sources to ensure it is structured and accessible for business intelligence and analytics. They collaborate with data analysts, engineers, and business stakeholders to optimize data architecture and ensure high performance, security, and reliability of data systems. Typically, they also mentor junior developers and play a key role in setting data management standards and best practices.

How does a senior data warehouse developer typically collaborate with data analysts and business stakeholders?

Senior Data Warehouse Developers frequently work closely with data analysts and business stakeholders to understand specific reporting requirements and translate them into efficient data models. They participate in meetings to gather requirements, clarify data needs, and explain technical constraints or possibilities. Additionally, they support analysts by ensuring data accuracy, optimizing query performance, and troubleshooting data issues. This collaborative approach helps align the data warehouse solutions with business goals and ensures stakeholders receive actionable insights.

What are the key skills and qualifications needed to thrive as a senior data warehouse developer, and why are they important?

To thrive as a Senior Data Warehouse Developer, you need advanced SQL expertise, strong data modeling skills, and experience with ETL processes, typically supported by a degree in computer science or a related field. Proficiency with data warehouse platforms (such as Snowflake, Amazon Redshift, or Microsoft SQL Server), ETL tools (like Informatica or Talend), and relevant certifications are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for designing scalable data solutions, optimizing performance, and supporting business intelligence initiatives.

What is the difference between Senior Data Warehouse Developer vs Data Warehouse Architect?

AspectSenior Data Warehouse DeveloperData Warehouse Architect
CredentialsTypically requires SQL, ETL, and data modeling certifications; often a bachelor's degree in CS or related fieldSimilar certifications; often a master's degree or advanced certifications in data architecture or cloud platforms
Work EnvironmentFocuses on developing, testing, and maintaining data warehouse solutionsDesigns overall data architecture, oversees implementation, and ensures scalability
Employer & Industry UsageUsed across industries for data integration and reportingUsed in organizations needing complex data systems and strategic data planning

The main difference is that a Senior Data Warehouse Developer primarily builds and maintains data warehouses, while a Data Warehouse Architect designs the overall data architecture and strategy. Both roles require similar technical skills, but the architect has a broader, strategic focus.

What cities in Tennessee are hiring for Senior Data Warehouse Developer jobs?

Cities in Tennessee with the most Senior Data Warehouse Developer job openings:

Infographic showing various Senior Data Warehouse Developer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $108,796 per year, or $52.3 per hour.

Senior Business Intelligence (BI) Developer-Knoxville Office

Edfinancial Services LLC

Knoxville, TN • On-site

Full-time

Re-posted 11 days ago

EdFinancial rating

6.6

Company rating: 6.6 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

General Purpose of Job
As a Senior BI Developer, you'll build and manage data pipelines, architect data stores, and deliver reports and dashboards for internal and external clients. As a Data & Analytics technologist, you'll also mentor the Data Services team and champion modern data warehousing, durable systems, and industry best practices.
Duties and Responsibilities (Daily and Monthly)
Pipelines & Integration
  • Design, build, and maintain robust ELT/ETL pipelines (SSIS, SQL Agent) that ingest from Hadoop, flat files, Excel, and APIs - engineered for reliability, auto-recovery, and observability.
  • Implement layered data flow (staging ? integration ? presentation) with automated data-quality checks and clear documentation of sources, transformations, and lineage.

Data Warehousing
  • Design and build data warehouses and subject-area marts using dimensional modeling and star schemas - well-formed facts and dimensions, conformed dimensions, and deliberate slowly changing dimension strategies.
  • Establish a single source of truth with shared definitions, modeling standards, and warehouse-level data quality, so metrics stay consistent as the platform grows.

Reporting & Analytics
  • Build and maintain reports and dashboards in SSRS and Power BI (semantic models, DAX, row-level security, gateways), feeding Azure/SharePoint Lists and Dynamics CRM.
  • Source reporting from the warehouse, define each metric once, and curate a maintainable, certified reporting catalog.

Planning & Leadership
  • Translate business requirements into scoped, estimated work; manage dependencies and delivery risk; and report progress in sprint ceremonies.
  • Mentor the Data Services team and lead adoption of best practices across pipelines, modeling, and reporting.

Requirements
Educational
  • Associate degree preferred
  • Bachelor's degree preferred

Professional
  • Minimum eight years' experience in Data & Analytics

Computer Skills
  • Data Entry
  • Microsoft Excel and Microsoft Word
  • Microsoft Outlook and Microsoft Teams

Additional Requirements: Excellent communication skills and attention to detail.
Knowledge, Skills & Abilities
  • Minimum 8 years in Data & Analytics; associate or bachelor's degree preferred.
  • Advanced T-SQL (including query optimization), stored procedures, and views on Microsoft SQL Server - including Azure SQL Managed Instance and Azure SQL Database.
  • Advanced SSIS, SQL Agent, and SSRS; advanced dimensional modeling and star schema design; working knowledge of SSAS.
  • Advanced Power BI Desktop; Power BI Report Builder a plus.
  • Knowledge of Microsoft Fabric, Data Factory, OneLake, Data Warehouse, and Purview governance.
  • Strong communication skills, attention to detail, and solid logic and math skills.
  • Experience in a financial environment and exposure to Agile (Kanban) a plus.

What EdFinancial employees say

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