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Data Warehouse Jobs (NOW HIRING)

Data Warehouse Developer

Canton, MA · On-site

$115K - $130K/yr

The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting ...

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract Transform Load) solutions that support strategic ...

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Data Warehouse Developer Job Category: Academic Staff Employment Type: Regular Job Profile: DW Eng/Developer I Position Summary: The University of Wisconsin-Platteville is seeking a Data Warehouse ...

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

$53.25 - $72.75/hr

At Saxo we are looking for an experienced Data Warehouse Developer to join our Enterprise Data Warehousing team. We are currently working on a new data warehouse to make our analytical capabilities ...

Data Warehouse Architect Location: Herndon/Reston, VA Type: Full-Time Required Skills: * Rich experience in Data Warehouse of overall 12+ years of experience into Data Warehouse arena, primarily ...

Data Warehouse Developer

Huntsville, AL

$48.50 - $66.50/hr

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 ...

Data Warehouse Developer

Saint Paul, MN

$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 ...

Data Warehouse Developer

Huntsville, AL · On-site

$46 - $63/hr

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 ...

Data Warehouse Engineer Employment Type: Contract Duration: 6 month contract, with potential extensions or conversion Preferred Location: Hyrbid onsite in Plymouth/Livonia MI area Role Description:

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Data Warehouse information

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$25K

$125.9K

$171K

How much do data warehouse jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that integrate and organize large volumes of data for analysis and reporting. Roles often require skills in SQL, ETL processes, and familiarity with tools like Amazon Redshift, Snowflake, or Microsoft SQL Server. These jobs typically demand strong analytical skills and knowledge of data modeling and database management.

What are the key skills and qualifications needed to thrive as a Data Warehouse professional, and why are they important?

To excel as a Data Warehouse professional, you need a solid grasp of database design, ETL (extract, transform, load) processes, SQL, and data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehouse tools such as Microsoft SQL Server, Oracle, Informatica, and cloud platforms like AWS Redshift or Google BigQuery is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These competencies ensure accurate, scalable data solutions that drive informed business decisions.

What is the highest paying job in a warehouse?

In a data warehouse environment, the highest paying roles are typically data warehouse architects and senior data engineers, who design and manage complex data systems. These positions often require advanced skills in SQL, ETL tools, and cloud platforms, and they can command salaries significantly higher than entry-level roles like data analysts or database administrators.

What is the difference between Data Warehouse vs Data Analyst?

AspectData WarehouseData Analyst
Primary RoleStores and manages large volumes of data for analysisAnalyzes data to generate insights and reports
Required SkillsDatabase management, ETL processes, SQL, data modelingData analysis, visualization, SQL, Excel
Work EnvironmentData centers, cloud platforms, IT teamsBusiness units, analytics teams, reporting tools
Common CertificationsCertified Data Management Professional (CDMP), Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Google Data Analytics Certificate

While a Data Warehouse focuses on storing and organizing data for analysis, a Data Analyst interprets that data to provide actionable insights. Both roles often collaborate but serve different functions within data management and analysis workflows.

What are the common challenges faced by professionals working in Data Warehouse roles, and how can they be addressed?

Professionals in Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and optimizing query performance. Addressing these issues typically involves close collaboration with data engineers, database administrators, and business analysts to establish clear data governance standards and implement robust ETL (Extract, Transform, Load) processes. Staying up to date with the latest data warehousing technologies and regularly monitoring system performance also help in overcoming these challenges, resulting in more reliable and efficient data storage and retrieval.

What are data warehouses?

A data warehouse is a centralized repository designed to store, manage, and analyze large volumes of structured data from multiple sources. It enables organizations to consolidate data, making it easier to generate reports, perform analytics, and make data-driven decisions. Data warehouses are optimized for read-heavy operations and complex queries, supporting business intelligence and long-term historical analysis. They differ from traditional databases by focusing on analytical processing rather than day-to-day transaction processing.

What does a data warehouse do?

A data warehouse is a system used by data warehouse professionals to store and organize large amounts of structured data from multiple sources. It enables efficient data analysis, reporting, and business intelligence by consolidating data into a central repository. Data analysts and engineers often use tools like SQL and ETL processes to manage and query the data effectively.

What Are the Qualifications to Get a Data Warehouse Job?

The qualifications to get a data warehouse job differ by position and level of responsibility. To be a data entry worker or data clerk, you typically need a high school diploma and some technical competency, such as familiarity with spreadsheets or other simple data entry systems. To be a data warehouse architect or developer, you typically need a bachelor’s degree in information technology or computer science, and strong technical skills, including data analysis and programming in SQL and other database and server languages. Familiarity with proprietary software and hardware from companies such as Oracle is also important.

Is data warehousing hard?

Data warehousing can be challenging because it involves designing and managing large-scale data systems, requiring knowledge of database concepts, ETL processes, and tools like SQL and cloud platforms. Success often depends on strong analytical skills, attention to detail, and experience with data modeling. With proper training and experience, it becomes more manageable over time.
What cities are hiring for Data Warehouse jobs? Cities with the most Data Warehouse job openings:
What are the most commonly searched types of Data Warehouse jobs? The most popular types of Data Warehouse jobs are:
What states have the most Data Warehouse jobs? States with the most job openings for Data Warehouse jobs include:
Infographic showing various Data Warehouse job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.
Data Warehouse Developer

Data Warehouse Developer

New England Life Care

Canton, MA • On-site

$115K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

New England Life Care (NELC) is one of the fastest growing home infusion therapy services companies in New England and is the region’s only non-profit home infusion provider. NELC is a hospital collaborative serving more than 70 hospital systems in Maine, New Hampshire, and Massachusetts. NELC was created by local hospitals to ensure their patients have access to a provider that reflects their commitment to excellence in patient care, quality, and service. Like our owner hospitals, NELC provides patient focused care.


New England Life Care has and continues to build a diverse, inclusive, and authentic workplace, so if you’re energized by this opportunity, you may be the person we are looking for!


New England Life Care is hiring a full-time Data Warehouse Developer to join our growing team! This position is full-time, Monday – Friday position.


**Currently only hiring for remote positions in the following states: Maine, Massachusetts, and New Hampshire**


Job Summary: New England Life Care is seeking a qualified Data Warehouse Developer to support the design, development, and ongoing maintenance of the organization’s enterprise data warehouse and analytics infrastructure. The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting, analytics, and operational decision-making. This role will work closely with business stakeholders, analysts, and application teams to transform data from multiple operational systems into reliable and accessible information for business intelligence platforms. The ideal candidate will possess strong SQL development skills, ETL experience, and expertise in dimensional modeling (star and snowflake schemas) to support reporting and analytics initiatives across the organization.


Benefits:

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Generous employer-matched 403b savings program
  • Company paid: Life insurance, Short- and long-term disability insurance
  • Paid Time Off
  • And much more!

Primary Job Responsibilities:

  • Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives.
  • Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices.
  • Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers.
  • Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types.
  • Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing.
  • Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes.
  • Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse.
  • Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions.
  • Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms.
  • Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance.
  • Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities.
  • Support ongoing data governance and data quality initiatives across the organization.

Additional Job-Related Duties:

  • Follow New England Life Care policies and procedures in the normal conduct of company business.
  • Maintain a strong understanding of software development lifecycle (SDLC) and data engineering best practices.
  • Ensure professional practices comply with HIPAA Privacy and Security regulations and the organization’s Corporate Compliance Program.
  • Build strong working relationships across departments and collaborate effectively with business and technical teams.
  • Demonstrate strong problem-solving skills by identifying data issues, diagnosing root causes, and implementing effective solutions.
  • Participate in the company Performance Improvement Program and provide recommendations for improvements based on data insights.
  • Assist in training or mentoring staff on data warehouse concepts, reporting tools, or data access processes as needed.
  • Participate in ongoing professional development through departmental meetings, technical training, and industry learning opportunities.
  • Perform additional duties or special projects as assigned by the direct supervisor.
  • Travel to remote sites as needed.



Educational Requirements:

  • Bachelor’s degree in computer science, information systems, engineering, or other related discipline and/or equivalent combination of education and relevant experience.
  • 3+-7+ years of experience in data warehouse development.
  • Strong experience with Microsoft SQL Server or other enterprise relational databases.
  • Experience developing ETL pipelines using SSIS, Azure Data Factory, or comparable ETL tools.
  • Demonstrated experience designing and implementing dimensional data models.
  • Strong experience designing fact tables, dimension tables, surrogate keys, and slowly changing dimensions (SCD).
  • Advanced SQL development and query optimization skills.
  • Experience working with large datasets and complex data transformations.
  • Experience supporting business intelligence and reporting platforms such as Power BI, Tableau, or similar tools.

Regulatory Requirements:

  • Knowledge of HIPAA Privacy and Security requirements.
  • Working knowledge of federal / state fraud and abuse laws required.
  • Valid driver’s license with excellent driving record required.

Skills:

  • Strong SQL programming and database development skills.
  • Experience with data warehouse architecture and dimensional modeling techniques.
  • Knowledge of ETL/ELT processes and data integration best practices.
  • Ability to analyze complex datasets and translate business requirements into technical solutions.
  • Strong communication and collaboration skills when working with cross-functional teams.
  • Strong organizational and problem-solving skills.
  • Self-motivated with the ability to work both independently and in team environments.
  • Ability to design scalable, maintainable data solutions that support enterprise analytics.


''It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.''


EOE


Monday through Friday from 8:00am until 5:00pm