Data Warehouse Developer

ADTRAN, Inc.; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

ADTRAN, Inc. is seeking a Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a focus on data integration and ELT/ETL processes.

The role emphasizes data modelling, pipelines, and collaboration with stakeholders to translate business requirements into robust data platforms. Strong SQL, Snowflake or MS SQL Server experience, and modern analytics tooling are valued.

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 and transformations.
• Solid experience in enterprise data modelling (dimensional and relational).
• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple applications.

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 business stakeholders to understand processes, systems, and data requirements.

Skills

SQL development

Data modelling

ETL pipelines

Data integration

Analytical thinking

Education

Bachelor's Degree

Tools

Snowflake

MS SQL Server

dbt

Python

Tableau

Qlik

Job description

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, or 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

Adtran is a leading global provider of fiber-based networking solutions and SaaS applications, focused on the broadband access market. Our comprehensive portfolio spans from the metro core to the customer premises, enabling network providers to deliver Gigabit broadband to every home and business. Our vision is to enable a fully connected world where the power to communicate is available to everyone, everywhere. At Adtran, we believe in our people. With a diverse and inclusive team spread across the globe, our culture embraces creativity and seeks innovation and quality in everything we do. Built on a foundation of communication, trust, collaboration, and an entrepreneurial spirit enables us to be a global technology leader and a strong customer advocate. Adtran began operations in January 1986. Headquartered in Huntsville, Alabama, Adtran is located in Cummings Research Park - the second-largest research park in the U.S. and fourth-largest in the world. Our mailing address is 901 Explorer Boulevard, Huntsville, Alabama, 35806. Adtran, Inc. is a wholly-owned subsidiary of Adtran Holdings, Inc. (NASDAQ:ADTN and FSE: QH9). Find out more at adtran.com, or follow our story on LinkedIn and Twitter.