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Data warehouse developer job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected data warehouse developer job growth rate is 21% from 2018-2028.
About 284,100 new jobs for data warehouse developers are projected over the next decade.
Data warehouse developer salaries have increased 10% for data warehouse developers in the last 5 years.
There are over 122,713 data warehouse developers currently employed in the United States.
There are 194,780 active data warehouse developer job openings in the US.
The average data warehouse developer salary is $93,381.
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 122,713 | 0.04% |
| 2020 | 76,755 | 0.02% |
| 2019 | 61,142 | 0.02% |
| 2018 | 60,920 | 0.02% |
| 2017 | 57,335 | 0.02% |
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2025 | $93,381 | $44.89 | +3.4% |
| 2024 | $90,304 | $43.42 | +2.3% |
| 2023 | $88,260 | $42.43 | +1.8% |
| 2022 | $86,701 | $41.68 | +1.7% |
| 2021 | $85,244 | $40.98 | +1.9% |
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 649 | 94% |
| 2 | Vermont | 623,657 | 260 | 42% |
| 3 | Virginia | 8,470,020 | 3,167 | 37% |
| 4 | Utah | 3,101,833 | 1,134 | 37% |
| 5 | Wyoming | 579,315 | 208 | 36% |
| 6 | Minnesota | 5,576,606 | 1,924 | 35% |
| 7 | Massachusetts | 6,859,819 | 2,323 | 34% |
| 8 | Colorado | 5,607,154 | 1,886 | 34% |
| 9 | Rhode Island | 1,059,639 | 357 | 34% |
| 10 | Georgia | 10,429,379 | 3,475 | 33% |
| 11 | Montana | 1,050,493 | 347 | 33% |
| 12 | Illinois | 12,802,023 | 4,147 | 32% |
| 13 | Iowa | 3,145,711 | 1,004 | 32% |
| 14 | Idaho | 1,716,943 | 511 | 30% |
| 15 | New Hampshire | 1,342,795 | 400 | 30% |
| 16 | Maryland | 6,052,177 | 1,768 | 29% |
| 17 | Kentucky | 4,454,189 | 1,287 | 29% |
| 18 | Connecticut | 3,588,184 | 1,050 | 29% |
| 19 | Nebraska | 1,920,076 | 554 | 29% |
| 20 | Alaska | 739,795 | 218 | 29% |
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Cambridge | 5 | 5% | $92,185 |
| 2 | Quincy | 3 | 3% | $92,321 |
| 3 | Bethesda | 2 | 3% | $90,666 |
| 4 | Stamford | 3 | 2% | $91,516 |
| 5 | Alpharetta | 1 | 2% | $84,379 |
| 6 | Boston | 7 | 1% | $92,223 |
| 7 | Washington | 6 | 1% | $91,083 |
| 8 | Atlanta | 4 | 1% | $84,459 |
| 9 | Fort Wayne | 2 | 1% | $75,561 |
| 10 | Huntsville | 2 | 1% | $84,503 |
| 11 | Jersey City | 2 | 1% | $88,980 |
| 12 | Sioux Falls | 2 | 1% | $74,575 |
| 13 | Tallahassee | 2 | 1% | $88,801 |
| 14 | Chicago | 6 | 0% | $85,571 |
| 15 | New York | 3 | 0% | $95,985 |
| 16 | San Francisco | 3 | 0% | $115,982 |
| 17 | Denver | 2 | 0% | $87,774 |
| 18 | Indianapolis | 2 | 0% | $74,613 |
| 19 | Phoenix | 2 | 0% | $90,878 |
University of Maryland - College Park
City College of New York of the City University of New York, The
Nazareth College of Rochester
Lafayette College
University of Oregon
Old Dominion University
University of Wisconsin - Green Bay
University of Puerto Rico - Mayaguez
Seattle University
University of North Georgia
University of Hawaii at Hilo
Wabash College
University of Michigan - Ann Arbor
Dr. Michael Zhang: In the coming years, turning data into insights and driving business innovation and success is the new compass.
Dr. Michael Zhang: Don’t worry about your job title. Regardless of what you do, prepare yourself with data and modeling skills and hands-on experience in applying knowledge for developing, evaluating, refining and implementing analytics solutions to your career.
Sean Cao: Data analytics skills, critical thinking and problem-solving skills, and communication skills will become more important and prevalent in the next few years. Acquiring these skills positions students to gain a competitive edge in the era of AI.
City College of New York of the City University of New York, The
Economics
Prof. Marta Bengoa Calvo: Only by constantly learning and adapting. We live in a world which labor dynamics are in constant evolution, so we need to be ready to keep learning and adapt.
Prof. Marta Bengoa Calvo: Start building your online presence, make sure your LinkedIn profile is up to date, looks professional (including picture), reflects the resume. Also, it helps considering creating a portfolio or blog to showcase the work that has been done (internships, research, data management projects etc.)
Nazareth College of Rochester
Mathematics
Dr. Heather Lewis: Many of our students double major - a popular pairing is Mathematics and Ethical Data Science - which gives them experience with both real-life data and practice with applying their problem-solving skills to a variety of situations.
Dr. Amy Guisinger: Go into salary negotiations with knowledge. Research what other people are making with similar job titles and responsibilities. Many states require job postings to include starting salary and other forms of pay transparency. So even if you do not work in that state, you can benefit by knowing what others are making.
Dr. Amy Guisinger: I think that skills related to data analysis are going to be more important in the years to come. As collecting data is getting easier and less costly for firms, companies are looking for people who know how to use the data appropriately. Poor data collection methods and inaccurate models will lead to bad business decisions. These mistakes can be avoided by hiring employees with skills in data analytics and modeling.
Dr. Brittany Suggs Ph.D., MPH, LPC: Thank you both for extending the opportunity! Feel absolutely welcome to send the questions or related information my way for further review. Happy to contribute to this noteworthy endeavor!
Dr. Brittany Suggs Ph.D., MPH, LPC: Thank you both for extending the opportunity! Feel absolutely welcome to send the questions or related information my way for further review. Happy to contribute to this noteworthy endeavor!
Kristi Yowell: Data Analysis, Adaptability, Technical Skills.
John Clark Ph.D., CFA, CFP®: In the next 3-5 years, I think the finance industry will see a number of opportunities develop for tech savvy graduates. In many areas, incorporating data analytics and understanding how to handle big data will become an important skill. Banks and insurance companies will continue to develop tools for underwriting and credit analysis. Investment firms will begin to utilize the tools of big data to provide clients greater customization at lower costs. Corporations will desire these skills to provide better data for decision making and to help deliver better outcomes for their customers.
University of Wisconsin - Green Bay
Accounting And Related Services
Fangjun Sang: Data analytics skills. Specifically, be able to learn new software tools quickly, be able to analyze databases and find patterns or issues from data analysis.
Fangjun Sang: Realizing the gap between what they learned in class and what they use in practice, open-minded, learn from their mentors and senior colleagues, be professional.
Dr. Matthew Brown: To maximize your salary potential when starting a career in Information Systems, it's important to showcase your skills and expertise. Pursuing certifications in relevant areas can demonstrate a commitment to professional development. Additionally, negotiating a salary based on industry standards and qualifications can help you secure a competitive compensation package. New graduates should not be afraid of being their own advocates for success.
Ivette Cruzado PhD: When seeking employment: Embrace new experiences and roles without fear. What looks like an intimidating role may turn out to be the one you excel at and are passionate about. After securing a job: Never hesitate to ask if you're unsure about something. Never assume
Maylon Hanold EdD: The entertainment business relies on fans. Period. Know how to understand and leverage data and data analytics to make informed decisions. Notice how leaders are using data. What seems to matter? How are they using it for storytelling? Develop the storytelling skill. I think this is important no matter what department you end up working in. The field is also changing rapidly in terms of the various ways fans are interacting via technology and social media platforms. The skill most needed will be to pay attention to the trends in this space, knowing that what you learn today won't be relevant tomorrow. Learn to think through the lens of 'what experience do we want to offer?' Finally, adaptability, flexibility and learning to collaborate with others in meaningful ways will open up the space for creativity and also make you a valuable manager/leader. After working as an individual contributor, moving into a manager/supervisor role is a common next step, and these skills are critical to being successful. In other words, master the science and art of co-creation.
Denise McWilliams: The usual skills will always remain important such as problem solving, critical thinking, and communication. However, as industries and technologies evolve, it will be increasingly important to understand how to analyze data, derive meaningful insights from data, translate insights into action, and critically evaluate the results of those actions. It will be increasingly important to be flexible, adaptable, and innovative. Innovative ideas do not have to come from your own department or company. Look for ideas from many sources both within and external to the organization. Additionally, the workforce of the future will need to be able to interact with artificial intelligence such as intelligent assistants (agents). There are already applications that provide this capability. Knowing how to use AI to augment your work will be invaluable to your success and that of the organization. Therefore, 1) understand analytics and 2) understand artificial intelligence.
Cynthia Corzo: Specialize, develop significantly one or two skills to crack the interviews and later diversify your search across large-, small- and medium-sized businesses.
Professor Kathryn Besio: Spatial data analysis courses set students up well for a wide range of fields, from education to conservation work. Another growth area is science communication. Geography and environmental studies students thrive in these positions because of their knowledge and background of human-environment relations. We're seeing a lot of growth in jobs in conservation education and outreach where students with strong writing skills and knowledge of social media platforms and communication contribute.
Brett Zollinger Ph.D.: There will be so much data coming to us from various online sources (including much that is AI-generated) that knowing how to scrutinize it, mine it for quality gems, and then apply it will be highly valuable to organizations. Sociology graduates on the job will need solid footing in research methods, data literacy, and AI prompt engineering -- skills being taught in sociology curricula. The ability to make compelling cases for new or enhanced programmatic funding will be increasingly important, a reason that we require grant proposal writing in our core sociology curriculum. Also, sociology majors tend to be good at "reading the room" for the many social cues occurring in meetings, collaborative work, etc., and they also tend to be skilled in anticipating ways that organizational change affects other social actors - both internal and external to the organization. It's difficult to imagine that these abilities won't always be highly appreciated by employers for the foreseeable future.
Wabash College
Rhetoric And Composition/Writing Studies
Chris Anderson: When starting your career, it is important to seek out opportunities that might help you build a broad range of skills or try new things to see what you enjoy. Much like the general education courses you may have taken as a student, a job that allows you to explore different types of work within a field provides an assortment of skills that can make you more valuable to employers and open up opportunities later in your career. Specialization is great but can be limiting in your early career.
University of Michigan - Ann Arbor
Multi/Interdisciplinary Studies
Ronald Larson: Software and data tools are becoming essential in all fields. An understanding of statistics is also important, especially knowing the underlying assumptions and limitations of various tools.