Data Warehouse Developer

Adtran; Huntsville (AL); On-site; USD 90,000 - 120,000; Full time

Job summary

Adtran is seeking an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable data solutions with strong data integration, transformation pipelines, and data modelling.

This role emphasizes building robust data warehouse architectures and ELT/ETL processes, collaborating with stakeholders across the organization to translate business requirements into scalable data solutions.

Qualifications

• Bachelor's degree or equivalent experience required.
• 5+ years of professional experience in Data Warehouse Development or Data Engineering.
• Strong SQL development skills and experience optimizing complex queries.
• Solid experience in enterprise data modelling (dimensional/relational).
• Experience developing and maintaining ETL/ELT pipelines with multiple data sources.
• Excellent communication skills and ability to collaborate with business stakeholders.

Responsibilities

• Design, develop, optimize, and maintain enterprise-grade data warehouse solutions and data pipelines.
• Build scalable ELT/ETL processes for integrating data from various enterprise applications.
• Develop and maintain dimensional and relational data models to support analytics and reporting.
• Ensure high standards for data quality, performance, maintainability, and reliability.
• Collaborate with stakeholders to understand business processes, systems, and data requirements.
• Support data architecture decisions and contribute to data platform design and best practices.
• Analyze and troubleshoot data integration and performance issues across the data platform.
• Participate in requirements gathering, technical design discussions, testing, deployment, and operations.
• Create and maintain technical documentation related to data models, interfaces, and transformation logic.
• Contribute to CI/CD and automation practices for data platforms.
• Support reporting and analytics teams with reliable data foundations.

Skills

SQL

ETL pipelines

Data modelling

Communication

Analytical thinking

Multi-priority

Education

Bachelor's Degree or equivalent experience

Tools

Snowflake

Microsoft SQL Server

dbt

Python

Tableau

Qlik

Job description

Welcome! Our Growth is Creating Great Opportunities!

Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!

Thanks for your interest in working on our team!

Data Warehouse Developer / Data Engineer

We are looking for an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a strong focus on data integration, transformation pipelines, and data modelling.

This role is primarily focused on building robust and maintainable data warehouse architectures and ELT/ETL processes. The ideal candidate combines strong technical expertise in modern data platforms with the ability to understand business processes and collaborate closely with stakeholders across the organization.

You should be a self-driven and detail-oriented professional with strong analytical thinking, excellent communication skills, and the ability to translate business requirements into scalable technical solutions.

Duties And Responsibilities

• Design, develop, optimize, and maintain enterprise-grade data warehouse solutions and data pipelines
• Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems
• Develop and maintain dimensional and relational data models to support analytics and operational reporting requirements
• Ensure high standards for data quality, performance, maintainability, scalability, and reliability
• Collaborate with business stakeholders and application teams to understand business processes, system landscapes, and data requirements
• Support data architecture decisions and contribute to overall data platform design and best practices
• Analyze and troubleshoot data integration and performance issues across the data platform
• Participate in requirements gathering, technical design discussions, testing, deployment, and operational support activities
• Create and maintain technical documentation related to data models, interfaces, and transformation logic
• Contribute to continuous improvement initiatives around data engineering standards, automation, and development processes
• Support reporting and analytics teams by providing reliable and well-structured data foundations

Basic Qualifications

• Bachelor's Degree or equivalent experience required
• 5+ years of professional experience in Data Warehouse Development, Data Engineering, or related fields
• Strong hands-on experience with either:
• Snowflake
• Microsoft SQL Server-based Data Warehouse environments
• Strong SQL development skills and experience optimizing complex queries and transformations
• Solid experience in enterprise data modelling (dimensional and/or relational modelling)
• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple business applications
• Good understanding of enterprise business processes and the ability to work in a consulting-oriented environment with business stakeholders
• Experience translating business requirements into technical data solutions.
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills and ability to collaborate across technical and non-technical teams
• Ability to work independently and manage multiple priorities in a dynamic environment

Preferred Qualifications

• Experience with SAP ECC or Salesforce
• Experience with Python for data processing
• Experience with cloud-based data platforms and modern data engineering concepts
• Experience with dbt (Data Build Tools)
• Experience with front-end analytics and visualization tools such as:
• Qlik
• Tableau
• Experience with data orchestration and scheduling tools
• Exposure to modern analytics engineering practices and CI/CD processes for data platforms
• Experience working in international or cross-functional project environments
• Experience in utilizing AI technologies in displaying business data results