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Data Warehouse Engineer Jobs (NOW HIRING)

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 ...

Monitor and provide operational support for large enterprise data warehouse systems, resolving ... Collaborate with cross-functional Agile/Scrum teams (Data Scientists, Analysts, DevOps) to ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

The client is looking for a Data Warehouse Engineer(Contractor) to join the Enterprise Data Lake Team. The ideal candidate will be a well-rounded technologist with a passion for building scalable and ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Title :- Data Engineer Duration :- 8+ months Location :- Onsite based out of Boston, MA (Only Locals) The client is looking for a Data Warehouse Engineer(Contractor) to join the Enterprise Data ...

Vision insurance Data Warehouse Developer Location: Virginia (Local Candidates Strongly Preferred) Work Arrangement: Onsite (Candidates must be available to interview and work onsite) Job Summary Our ...

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Data Warehouse/BI Developer

Richmond, VA · On-site

$48.75 - $66.75/hr

Data Warehouse Developer Duration: 12 Months Location: Richmond, VA(Onsite) Description: A Data Warehouse Developer who can self‑manage, partner with BSAs and PMs, and translate business needs into ...

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Data Engineer

Wildwood, MO · On-site

$107K - $129K/yr

Senior Data Warehouse Developer RGA is looking for results oriented, Senior Data Warehouse Developer to independently design, develop, test, implement, document, and support data warehouses ...

Data Warehouse Developer

Richmond, VA · On-site

$48.75 - $66.75/hr

Seeking a Data Warehouse Developer who can self manage, partner with BSAs and PMs, and translate business needs into actionable,analytics ready data solutions. This role requires strong data ...

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Data Warehouse Developer

Richmond, VA · On-site

$48.25 - $66/hr

Job Summary : Accylerate is seeking a Data Warehouse Developer who can self-manage and translate business needs into actionable, analytics-ready data solutions. The role involves strong data ...

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Data Warehouse Engineer information

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$86.5K

$126.5K

$160.5K

How much do data warehouse engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data warehouse engineer in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What engineers make 300,000 a year?

Data Warehouse Engineers with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms can earn salaries around $300,000 annually, especially in high-demand markets or senior roles. Achieving this level often requires specialized certifications, leadership responsibilities, and a strong understanding of data architecture and analytics tools.

What are Data Warehouse Engineers?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise is required to implement and oversee AI tools effectively.

What does a data warehouse engineer do?

A data warehouse engineer designs, develops, and maintains data storage systems that aggregate and organize large volumes of data from various sources. They use tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis. Their work supports business intelligence and decision-making processes.

What engineers make $500,000?

Senior data warehouse engineers with extensive experience, advanced skills in SQL, ETL tools, cloud platforms, and certifications can reach salaries of $500,000 or higher, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires a combination of technical expertise, leadership responsibilities, and strategic impact on data infrastructure.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges Data Warehouse Engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

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

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
More about Data Warehouse Engineer jobs
What cities are hiring for Data Warehouse Engineer jobs? Cities with the most Data Warehouse Engineer job openings:
What are the most commonly searched types of Data Warehouse Engineer jobs? The most popular types of Data Warehouse Engineer jobs are:
What states have the most Data Warehouse Engineer jobs? States with the most job openings for Data Warehouse Engineer jobs include:
Infographic showing various Data Warehouse Engineer job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $126,499 per year, or $60.8 per hour.
Lead Data Warehouse Engineer - Artificial Intelligence-Ready Mount Sinai (AIR.MS)

Lead Data Warehouse Engineer - Artificial Intelligence-Ready Mount Sinai (AIR.MS)

Mount Sinai Hospital

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Posted yesterday


Mount Sinai rating

7.8

Company rating: 7.8 out of 10

Based on 280 frontline employees who took The Breakroom Quiz

133rd of 877 rated healthcare providers


Job description


The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR• MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI's Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science.
The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher's priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL.
Responsibilities
  • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
  • Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository.
  • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
  • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
  • Mentor junior engineers in data warehousing, data engineering skills, and operational support.
  • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
  • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
  • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
  • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
  • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
  • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science-driven, customer-focused approach.
  • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
  • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
  • Identify improvements in procedures, technology, compliance, and data privacy/security.
  • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
  • Perform related duties as assigned.

Qualifications
  • Bachelors degree in a technical discipline; Masters degree preferred
  • 12-15 years preferred of related experience, including 7 years of experience designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.

Preferred:
  • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
  • Experience working with healthcare data
  • Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing.
  • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
  • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
  • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
  • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
  • Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
  • Knowledge of Hadoop, Spark, Kafka and other big data technology stacks and streaming tools.

About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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