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How to hire a data warehousing specialist

Data warehousing specialist hiring summary. Here are some key points about hiring data warehousing specialists in the United States:

  • In the United States, the median cost per hire a data warehousing specialist is $1,633.
  • It takes between 36 and 42 days to fill the average role in the US.
  • Human Resources use 15% of their expenses on recruitment on average.
  • On average, it takes around 12 weeks for a new data warehousing specialist to become settled and show total productivity levels at work.

How to hire a data warehousing specialist, step by step

To hire a data warehousing specialist, you should clearly understand the skills and experience you are looking for in a candidate, and allocate a budget for the position. You will also need to post and promote the job opening to reach potential candidates. Here's a step-by-step guide on how to hire a data warehousing specialist:

Here's a step-by-step data warehousing specialist hiring guide:

  • Step 1: Identify your hiring needs
  • Step 2: Create an ideal candidate profile
  • Step 3: Make a budget
  • Step 4: Write a data warehousing specialist job description
  • Step 5: Post your job
  • Step 6: Interview candidates
  • Step 7: Send a job offer and onboard your new data warehousing specialist
  • Step 8: Go through the hiring process checklist
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  1. Identify your hiring needs

    First, determine the employments status of the data warehousing specialist you need to hire. Certain data warehousing specialist roles might require a full-time employee, whereas others can be done by part-time workers or contractors.

    Determine employee vs contractor status
    Is the person you're thinking of hiring a US citizen or green card holder?

    A data warehousing specialist's background is also an important factor in determining whether they'll be a good fit for the position. For example, data warehousing specialists from different industries or fields will have radically different experiences and will bring different viewpoints to the role. You also need to consider the candidate's previous level of experience to make sure they'll be comfortable with the job's level of seniority.

    This list presents data warehousing specialist salaries for various positions.

    Type of Data Warehousing SpecialistDescriptionHourly rate
    Data Warehousing Specialist$30-50
    Data ArchitectA Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture. They define how the data will be stored, consumed, integrated, and managed by different data entities.$40-73
    Data Warehouse DeveloperData Warehouse Developers are information technology (IT) professionals assigned to manage company-related information or data. They are responsible for creating the company's data warehouse, where the company's data will be stored... Show more$34-57
  2. Create an ideal candidate profile

    Common skills:
    • Data Warehouse
    • Data Warehousing
    • ETL
    • Unix
    • Extraction
    • Business Rules
    • Oracle Sql
    • SQL Server
    • PL/SQL
    • Windows
    • Data Marts
    • HTML
    • Teradata
    • Data Models
    Check all skills
    Responsibilities:
    • Manage the migration from the QuickPlace document repository to the SharePoint repository.
    • Create ODS; ELT and DDL scripts for source and target databases.
    • Support ETL processes using a variety of technologies.
    • Create 2D sketch drawings and 3D models for client proposals
    • Create pricing models for the California and Texas emission credit markets using linear regression techniques.
    • Create ODS and target databases, along with writing DDL scripts to recreate source database.
    More data warehousing specialist duties
  3. Make a budget

    Including a salary range in your data warehousing specialist job description helps attract top candidates to the position. A data warehousing specialist salary can be affected by several factors, such as geography, experience, seniority, certifications, and the prestige of the hiring company.

    For example, the average salary for a data warehousing specialist in Missouri may be lower than in Alaska, and an entry-level data warehousing specialist usually earns less than a senior-level data warehousing specialist. Additionally, a data warehousing specialist with certifications may command a higher salary, and working for a well-known company or start-up may also impact an employee's pay.

    Average data warehousing specialist salary

    $82,106yearly

    $39.47 hourly rate

    Entry-level data warehousing specialist salary
    $63,000 yearly salary
    Updated December 14, 2025

    Average data warehousing specialist salary by state

    RankStateAvg. salaryHourly rate
    1California$91,512$44
    2New York$84,267$41
    3New Jersey$84,239$41
    4Delaware$84,159$40
    5Massachusetts$83,999$40
    6Arizona$83,874$40
    7District of Columbia$83,772$40
    8Virginia$83,684$40
    9Washington$82,629$40
    10Texas$82,274$40
    11Michigan$82,067$39
    12North Carolina$81,916$39
    13Ohio$81,689$39
    14Louisiana$81,328$39
    15Wisconsin$80,491$39
    16Illinois$79,973$38
    17Indiana$79,804$38
    18Florida$79,796$38
    19Minnesota$79,413$38
    20Kansas$77,936$37

    Average data warehousing specialist salary by company

    RankCompanyAverage salaryHourly rateJob openings
    1ANCILE Solutions, Inc.$104,479$50.23
    2Hoffmann-LA Roche Inc$96,081$46.191
    3FCA US LLC$94,442$45.405
    4Blue Cross and Blue Shield of Louisiana$91,790$44.13
    5Advantmed$91,061$43.78
    6Ernst & Young$90,148$43.341,017
    7Synechron$89,440$43.0013
    8Mastech Digital$89,283$42.9210
    9Populus Group$89,103$42.84
    10Compunnel$88,523$42.561
    11Iomega$87,857$42.24
    12ICONMA$87,818$42.22
    13Collab$87,768$42.20
    14AGCO$87,414$42.0311
    15NTT Data International L.L.C.$87,273$41.9625
    16Capgemini$86,930$41.7989
    17Omega Realty$86,913$41.79
    18Z3 Graphics$86,913$41.79
    19Melissa$86,903$41.78
    20DevCare Solutions$86,487$41.58
  4. Writing a data warehousing specialist job description

    A good data warehousing specialist job description should include a few things:

    • Summary of the role
    • List of responsibilities
    • Required skills and experience

    Including a salary range and the first name of the hiring manager is also appreciated by candidates. Here's an example of a data warehousing specialist job description:

    Data warehousing specialist job description example

    BAE Systems is looking for a motivated team of data warehouse engineers to provide the Air Force Research Lab/Information Handling Branch (AFRL/RIEB) and its clients with specialized Information Technology Engineering Services and analytical support within the ISR domain for the AFRL/RIEB and its mission partners. The data warehouse engineers will be able to work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. The selected data warehouse engineering team will be an integral part of the organization's programmatic and technical support for research and development, design, prototyping, demonstration, modeling, evaluation, test, migration, installation, and transition of Air Force (AF) Intelligence, Surveillance, and Reconnaissance (ISR) intelligence systems.

    Mines and analyzes data from databases to drive optimization and improvement of the customer missions and business strategies
    Assesses the effectiveness and accuracy of new data sources and data gathering techniques Develops custom data models and algorithms to apply to data sets Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes Develops organizational A/B testing framework and tests model quality Coordinates with different functional teams to implement models and monitor outcomes Develops processes and tools to monitor and analyze model performance and data accuracy Designs, models, documents, and guides the logical and conceptual relationship of data and database changes for complex applications Analyzes needs and requirements of existing and proposed systems, and develops technical, structural, and organizational specifications Attend and participate in various technical reviews and working groups, review available documentation, and document potential issues and proposed strategies for solution Provide analysis that includes all information defined by data plans/dictionaries and is consistent and compliant with data standards, naming conventions, and logical rules Support compartmentalization of data based on classification/caveats Be consistent with approved DoD standard data modeling efforts Automate data exchange applications between data repositories and analysis tools Other duties as assigned
    Candidates' preferred experience includes Air Force (AF) Intelligence, Surveillance, and Reconnaissance (ISR) intelligence systems and programs in support of Major Commands (MAJCOMs), Intelligence Community (IC), and AFRL/Information Handling Branch (RIEB) programs and initiatives. Additionally, Candidates should have knowledge in Cross Domain Solutions, and/or Data Labeling using Artificial Intelligence/Machine Learning (AI/ML) solutions.

    Teams will be located in Rome, NY however, there may be opportunities to support this program from other CONUS locations.

    EITS

    Required Skills and Education

    Bachelor's degree in computer science, information systems, or engineering related disciplines. Experience may be substituted for degree. 4-8 years of experience with programming and database scripting for large and complex information systems, 5+ years of experience with a data warehouse and processing platform technologies. This position requires the successful candidate have an active TS clearance. The criteria for obtaining and holding a clearance are driven by US government requirements. You must be a US citizen to obtain a security clearance.

    About BAE Systems Intelligence & Security

    BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it's what we do at BAE Systems. Working here means using your passion and ingenuity where it counts - defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team-making a big impact on a global scale. At BAE Systems, you'll find a rewarding career that truly makes a difference. Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. At BAE Systems, we celebrate the array of skills, experiences, and perspectives our employees bring to the table. For us, differences are a source of strength. We're laser-focused on high performance, and we work hard every day to nurture an inclusive culture where all employees can innovate and thrive. Here, you will not only build your career, but you will also enjoy work-life balance, uncover new experiences, and collaborate with passionate colleagues.

    Preferred Skills and Education

    Operational Air Force experience desired. Experience with AWS Solutions. Agile development methodology training and certification as scrum master a plus. Ability to break down technical concepts into business terms. SAFe Agilist certification. Active TS SCI clearance.

    EEO Career Site

    Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
  5. Post your job

    There are a few common ways to find data warehousing specialists for your business:

    • Promoting internally or recruiting from your existing workforce.
    • Ask for referrals from friends, family members, and current employees.
    • Attend job fairs at local colleges to meet candidates with the right educational background.
    • Use social media platforms like LinkedIn, Facebook, and Twitter to recruit passive job-seekers.
    Post your job online:
    • Post your data warehousing specialist job on Zippia to find and recruit data warehousing specialist candidates who meet your exact specifications.
    • Use field-specific websites such as dice, engineering.com, stack overflow, it job pro.
    • Post a job on free websites.
  6. Interview candidates

    Your first interview with data warehousing specialist candidates should focus on their interest in the role and background experience. As the hiring process goes on, you can learn more about how they'd fit into the company culture in later rounds of interviews.

    Remember to include a few questions that allow candidates to expand on their strengths in their own words. Asking about their unique skills might reveal things you'd miss otherwise. At this point, good candidates can move on to the technical interview.

    Sometimes, it's not enough to interview data warehousing specialist candidates, so you can ask them to do a test project. If you are not a technical person and don't know what a test project should be, you can use these websites:

    • TestDome
    • CodeSignal
    • Testlify
    • BarRaiser
    • Coderbyte

    The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

  7. Send a job offer and onboard your new data warehousing specialist

    Once you've found the data warehousing specialist candidate you'd like to hire, it's time to write an offer letter. This should include an explicit job offer that includes the salary and the details of any other perks. Qualified candidates might be looking at multiple positions, so your offer must be competitive if you like the candidate. Also, be prepared for a negotiation stage, as candidates may way want to tweak the details of your initial offer. Once you've settled on these details, you can draft a contract to formalize your agreement.

    You should also follow up with applicants who don't get the job with an email letting them know that you've filled the position.

    Once that's done, you can draft an onboarding schedule for the new data warehousing specialist. Human Resources should complete Employee Action Forms and ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc. They should also ensure that new employee files are created for internal recordkeeping.

  8. Go through the hiring process checklist

    • Determine employee type (full-time, part-time, contractor, etc.)
    • Submit a job requisition form to the HR department
    • Define job responsibilities and requirements
    • Establish budget and timeline
    • Determine hiring decision makers for the role
    • Write job description
    • Post job on job boards, company website, etc.
    • Promote the job internally
    • Process applications through applicant tracking system
    • Review resumes and cover letters
    • Shortlist candidates for screening
    • Hold phone/virtual interview screening with first round of candidates
    • Conduct in-person interviews with top candidates from first round
    • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
    • Conduct background checks on top candidates
    • Check references of top candidates
    • Consult with HR and hiring decision makers on job offer specifics
    • Extend offer to top candidate(s)
    • Receive formal job offer acceptance and signed employment contract
    • Inform other candidates that the position has been filled
    • Set and communicate onboarding schedule to new hire(s)
    • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)
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How much does it cost to hire a data warehousing specialist?

Before you start to hire data warehousing specialists, it pays to consider both the one-off costs like recruitment, job promotion, and onboarding, as well as the ongoing costs of an employee's salary and benefits. While most companies that hire data warehousing specialists pay close attention to the initial cost of hiring, ongoing costs are much more significant in the long run.

The median annual salary for data warehousing specialists is $82,106 in the US. However, the cost of data warehousing specialist hiring can vary a lot depending on location. Additionally, hiring a data warehousing specialist for contract work or on a per-project basis typically costs between $30 and $50 an hour.

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