ZipRecruiter

Log In

1

Warehouse Developer Jobs (NOW HIRING)

Infojini Inc

Data Warehouse Developer

Saint Paul, MN · On-site

$49.75 - $68.25/hr

Data Warehouse Developer Location: St. Paul, MN Duration: 6+ months Client: Direct Client Roles and Responsibilities: Manage respective data warehouse to deployment including driving all related ...

OVA.Work

Data Warehouse Developer

$50.50 - $69/hr

Work is seeking a skilled Data Warehouse Developer responsible for designing, developing, and maintaining enterprise data warehouse solutions. The role involves data modeling, ETL development, data ...

RIT Solutions, Inc.

Data warehouse Developer

Plano, TX · On-site

$47.50 - $65/hr

RIT Solutions, Inc. is a company seeking a Data Warehouse Developer. The primary responsibilities include developing and maintaining data pipelines using various technologies such as Python, SQL, and ...

Saviance

Data Warehouse Developer III

Boston, MA · On-site

$53.50 - $73.25/hr

Saviance is seeking a Data Warehouse Developer III, a senior level technical position responsible for designing and maintaining the Business Intelligence infrastructure for the enterprise. The role ...

Beacon Technologies

Data Warehouse Developer

Menasha, WI · On-site

$50.50 - $69/hr

Beacon Technologies is seeking a Data Warehouse Developer for our client partner. This is a hybrid position located in Menasha, Wisconsin. Job Responsibilities: * Perform end to end delivery of data ...

Saviance

Data Warehouse Developer III

Boston, MA · On-site

$53.50 - $73.25/hr

Saviance is a company focused on providing advanced Business Intelligence solutions, and they are seeking a Data Warehouse Developer III to enhance their BI infrastructure. The role involves ...

Menard, Inc

Data Warehouse Developer

Eau Claire, WI · Hybrid

$48.75 - $66.75/hr

The Data Warehouse Developer is responsible for the design, development, and implementation of Business Intelligence and Data Management solutions to meet the business needs of Menard's Enterprise ...

IO Datasphere

Data Warehouse Developer

Madison, WI · On-site

$49.75 - $68/hr

Our client seeks a Data Warehouse Developer to design, develop, and maintain relational databases for data storage and data mining. Tasks · Responsible for migrating mappings, mapplets, sessions ...

New

Menards, Inc.

Data Warehouse Developer

Eau Claire, WI · On-site

$48.75 - $66.75/hr

The Data Warehouse Developer is responsible for the design, development, and implementation of Business Intelligence and Data Management solutions to meet the business needs of Menard's Enterprise ...

IDEALFORCE LLC

Data Warehouse Developer (30829)

Phoenix, AZ · On-site

$49 - $67/hr

Company Description IDEALFORCE has a Contract position available immediately for a Data Warehouse Developer to join our customer in Phoenix Arizona. This is an ONSITE position. Please find below ...

University of Rochester

Sr Data Warehouse Developer

$86K - $130K/yr

The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing, implementing and supporting various components for the enterprise data warehouse and associated ...

previous pagenext page

Showing results 21-40

All JobsWarehouse Developer Jobs

Warehouse Developer information

See salary details

$11

$17

$22

How much do warehouse developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for warehouse developer in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.75 per hour, depending on experience, location, and employer.

How does a warehouse developer typically collaborate with data engineers and business analysts in day-to-day operations?

Warehouse Developers frequently work alongside data engineers to design, build, and optimize data pipelines, ensuring data is efficiently loaded into the data warehouse. They also collaborate closely with business analysts to understand reporting requirements and ensure that the data models support business intelligence needs. Regular meetings, code reviews, and joint problem-solving sessions are common, fostering a collaborative environment where technical solutions align with strategic business goals. This teamwork is essential for maintaining data accuracy, performance, and supporting evolving organizational needs.

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

To thrive as a Warehouse Developer, you need expertise in data warehousing concepts, SQL, ETL (Extract, Transform, Load) processes, and a relevant degree in computer science or information systems. Familiarity with data warehouse tools and platforms such as Microsoft SQL Server, Oracle, Snowflake, or AWS Redshift, along with certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer, is often required. Strong problem-solving skills, attention to detail, and effective communication are critical soft skills for designing and maintaining robust data solutions. These skills are essential to ensure data integrity, optimize performance, and facilitate informed decision-making within organizations.

What is the difference between Warehouse Developer vs Warehouse Coordinator?

AspectWarehouse DeveloperWarehouse Coordinator
Primary RoleDesigns and develops warehouse management systems and automation solutionsOversees daily warehouse operations and coordinates logistics activities
Required SkillsSoftware development, systems integration, technical troubleshootingInventory management, communication, scheduling
Work EnvironmentOffice-based with technical and on-site system testingWarehouse floor, logistics offices
Common CertificationsIT, software development certificationsLogistics, supply chain management certifications

While Warehouse Developers focus on creating and implementing warehouse management systems, Warehouse Coordinators handle daily logistics and operational tasks. Both roles are essential in warehouse operations but differ in technical involvement and responsibilities.

How to become a data warehouse developer?

To become a data warehouse developer, you typically need a bachelor's degree in computer science, information systems, or a related field. Gaining experience with database management, SQL, ETL processes, and data modeling is essential, along with proficiency in tools like Microsoft SQL Server, Oracle, or cloud platforms such as AWS or Azure. Certifications in data management or cloud services can also enhance job prospects.
More about Warehouse Developer jobs

What are popular job titles related to Warehouse Developer jobs?

For Warehouse Developer jobs, the most frequently searched job titles are:

Warehouse Developer jobs near you
Infographic showing various Warehouse Developer job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $36,004 per year, or $17.3 per hour.

Data Warehouse Developer

Irving, TX

Expert Technical Solutions
IT Services • 11 - 50 employees
Learn more about Expert Technical Solutionsexternal

$47.25 - $64.75/hr

Contractor

Re-posted 23 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.

  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.

  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.

Job description

Senior Data Warehouse Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (4–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is a Fortune 500 Insurance company seeking a highly technical Senior Data Warehouse Engineer to help modernize and scale a large enterprise data environment supporting critical operational and supply chain functions. This individual will play a key role in designing and implementing a long-term data strategy that reduces reliance on transactional systems while improving data availability, reporting performance, and scalability.
The ideal candidate will have deep expertise across Oracle, SQL Server/Azure SQL, Snowflake, and Azure Data Factory, with the ability to architect efficient data movement and transformation processes for large, complex datasets. This role requires someone who can move beyond simply building pipelines and instead understand source system architecture, optimize data structures, and design scalable warehouse solutions capable of supporting enterprise analytics and reporting.
This is a hands-on engineering position for someone who enjoys solving complex data challenges, optimizing performance, and building modern data platforms that support long-term business growth.
Key Technologies
  • Azure Data Factory (ADF)
  • Azure SQL Database / SQL Server
  • Oracle PL/SQL
  • Snowflake
  • JSON Data Processing
  • REST APIs
  • Data Warehousing
  • Data Modeling
  • Power BI
Primary Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory.
  • Build and optimize enterprise data warehouse solutions supporting operational reporting and analytics.
  • Design and implement incremental data loading strategies utilizing UPSERT, MERGE, CDC, and other efficient synchronization techniques.
  • Extract, transform, and load data from large-scale Oracle environments into Azure SQL and Snowflake platforms.
  • Analyze complex source systems and identify optimal approaches for data extraction, transformation, and storage.
  • Design and maintain dimensional data models, including star and snowflake schemas.
  • Transform semi-structured data, including complex JSON payloads, into consumable relational datasets.
  • Develop data integration solutions leveraging REST APIs, sFTP-based workflows, and other external data sources.
  • Improve query performance through indexing strategies, partitioning, optimization, and database tuning.
  • Establish data engineering standards, best practices, naming conventions, and architectural guidelines.
  • Collaborate closely with business intelligence and reporting teams to ensure data accuracy, consistency, and performance.
  • Troubleshoot and resolve issues across ingestion, transformation, storage, and reporting layers.
  • Mentor team members and provide technical leadership on data engineering best practices.
Required Qualifications
  • 8+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
  • Advanced SQL expertise across Oracle, SQL Server/Azure SQL, and Snowflake.
  • Strong hands-on experience developing and supporting Azure Data Factory solutions.
  • Demonstrated experience working within large-scale enterprise data environments.
  • Deep understanding of incremental data processing methodologies, including UPSERT and MERGE patterns.
  • Strong Oracle PL/SQL development experience.
  • Experience designing and optimizing large-scale relational databases.
  • Proven ability to tune complex SQL queries and optimize database performance.
  • Experience working with JSON and other semi-structured data formats.
  • Experience integrating data from ERP systems, operational platforms, APIs, and external file-based sources.
  • Strong understanding of dimensional modeling concepts and enterprise data warehouse design.
  • Ability to evaluate source system structures and design efficient downstream data architectures.
Preferred Qualifications
  • Experience supporting supply chain, logistics, manufacturing, or operational data environments.
  • Experience working with large ERP platforms such as Oracle EBS or similar enterprise systems.
  • Experience implementing enterprise data modernization initiatives.
  • Exposure to Power BI and enterprise reporting solutions.
  • Experience with data governance, data quality, and master data management initiatives.
What Success Looks Like
  • Reduce reporting dependency on transactional production systems.
  • Improve reporting reliability and performance through optimized warehouse architecture.
  • Implement scalable incremental data ingestion and synchronization processes.
  • Create sustainable, maintainable data structures that support long-term business growth.
  • Establish engineering best practices that improve efficiency, consistency, and scalability across the data platform.