How to hire a data warehouse specialist

How to hire a data warehouse specialist, step by step

Here's a step-by-step data warehouse 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 warehouse specialist job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new data warehouse specialist
• Step 8: Go through the hiring process checklist

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1. Identify your hiring needs

   Before you start hiring a data warehouse specialist, identify what type of worker you actually need. Certain positions might call for a full-time employee, while others can be done by a part-time worker or contractor.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   A data warehouse specialist's background is also an important factor in determining whether they'll be a good fit for the position. For example, data warehouse 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.

   The following list breaks down different types of data warehouse specialists and their corresponding salaries.

   Type of Data Warehouse Specialist	Description	Hourly rate
   Data Warehouse Specialist	Database administrators (DBAs) use specialized software to store and organize data, such as financial information and customer shipping records. They make sure that data are available to users and are secure from unauthorized access.	$29-47
   Development Administrator	A community development administrator is responsible for planning, coordinating, and overseeing a community's social, physical, and economic growth. Your duties typically include supervising the construction of public infrastructures such as roads and schools, providing assistance to both private and public developers, and managing public projects, including parks and hospitals... Show more	$31-60
   Data Engineer	A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise... Show more	$38-71

   Show more

2. Create an ideal candidate profile

   Common skills:

   • Data Warehouse
   • ETL
   • Data Warehousing
   • Business Intelligence
   • Architecture
   • Data Analysis
   • Data Quality
   • Extraction
   • Tableau
   • Metadata
   • Informatica
   • Data Management
   • Ssis
   • SAS

   Check all skills

   Responsibilities:

   • Lead system maintenance, upgrade, ETL, scheduling, and installation of client software, holding accountability for performance.
   • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
   • Determine data extraction and transformation require to support reporting requirements.
   • Develop ETL documentation including data flow diagrams, process diagrams, data transformation mapping documentation and business rules.
   • Create SSIS packages to upload data to SQL server.
   • Design, implement, modify and schedule SSIS packages in SSMS.

   More data warehouse specialist duties

3. Make a budget

   Including a salary range in your data warehouse specialist job description is a great way to entice the best and brightest candidates. A data warehouse specialist salary can vary based on several factors:

   • Location. For example, data warehouse specialists' average salary in south dakota is 32% less than in maryland.
   • Seniority. Entry-level data warehouse specialists earn 38% less than senior-level data warehouse specialists.
   • Certifications. A data warehouse specialist with a few certifications under their belt will likely demand a higher salary.
   • Company. Working for a prestigious company or an exciting start-up can make a huge difference in a data warehouse specialist's salary.

   Average data warehouse specialist salary

   $78,418yearly

   $37.70 hourly rate

   ---

   Entry-level data warehouse specialist salary

   $61,000 yearly salary

   Updated December 19, 2025

   Average data warehouse specialist salary by state

   Rank	State	Avg. salary	Hourly rate
   1	California	$92,254	$44
   2	Washington	$83,011	$40
   3	New York	$82,158	$40
   4	Missouri	$81,414	$39
   5	Connecticut	$81,206	$39
   6	New Jersey	$80,555	$39
   7	Virginia	$79,861	$38
   8	Texas	$79,487	$38
   9	Delaware	$79,401	$38
   10	Oregon	$78,935	$38
   11	Illinois	$75,519	$36
   12	Pennsylvania	$75,441	$36
   13	Arizona	$74,057	$36
   14	Ohio	$73,780	$35
   15	North Carolina	$72,651	$35
   16	Georgia	$72,574	$35
   17	Florida	$71,821	$35
   18	Wisconsin	$71,326	$34
   19	Minnesota	$70,734	$34
   20	Arkansas	$69,119	$33

   Average data warehouse specialist salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	Avid	$112,920	$54.29
   2	AIG	$111,945	$53.82	8
   3	Blue Cross and Blue Shield of Louisiana	$110,440	$53.10
   4	Children's Hospital Colorado	$109,153	$52.48
   5	Mattel	$107,942	$51.90	2
   6	International Medical Group	$107,013	$51.45
   7	Frito-Lay	$106,742	$51.32	23
   8	Partner Reinsurance Co US	$106,545	$51.22
   9	American Girl	$104,935	$50.45
   10	SCAN Health Plan	$103,706	$49.86
   11	Michels	$102,737	$49.39	1
   12	Florida Blue	$100,687	$48.41
   13	Mylan	$98,605	$47.41
   14	UMass Lowell	$94,050	$45.22	1
   15	Weatherford International	$93,874	$45.13	3
   16	FIS	$93,121	$44.77	2
   17	ncl	$92,865	$44.65
   18	Regions Bank	$90,414	$43.47	7
   19	UMass Memorial Health	$89,697	$43.12
   20	Overstock.com	$88,280	$42.44

4. Writing a data warehouse specialist job description

   A data warehouse specialist job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. Below, you can find an example of a data warehouse specialist job description:

   Data warehouse specialist job description example

   Job Title: Informatica/ETL Developer
   Job Location: Remote
   
   Rate Guidance: $60/hr on c2c for GC/USC who have own corp , $90K per Annum on w2+Benefts.
   
   Key Technology : Informatica, data warehouse, DataStage, Azure DevOps, Snowflake
   
   Job Responsibilities:

   • Analyze the impact of changes on existing ETL/ELT processes and systems.
   • Ensure appropriate level of Unit Test and System Test of all the deliverables

   
   Skills and Experience Required:

   • Minimum 8 years of experience developing data warehouse solutions preferably within the healthcare payer industry.
   • 2 years of hands-on IICS experience (Azure and Snowflake)
   • Sound understanding of data warehouse best practices, relational data structures, and dimensional data modeling.
   • Strong knowledge of current relational database and big data software and query concepts
   • Advanced SQL skills and proficiency with Stored Procedures Prior experience with architecting complex ETL processes.
   • Experience with modeling tools like Erwin Ability to analyze and solve complex problems and to work independently on multiple tasks
   • Experienced in Analysis & design. Work closely with business in understanding requirement and translate into scalable design Experience in Data migration using Informatica.
   • Experience in Data Integration, Data replication and Mass Ingestion services of IICS.
   • Experience with Designing, developing, and maintaining Informatica cloud data integration processes using the appropriate data load techniques.
   • Analyze the impact of changes on existing ETL/ELT DataStage processes and systems preferred
   • Experience working in an Agile environment, preferably Azure DevOps
   • Must be able to communicate effectively

   Schedule:

   • 8 hour shift

   Experience:

   • Informatica: 8 years (Required)
   • Data warehouse: 4 years (Required)

   Copy this example

   

5. Post your job

   There are various strategies that you can use to find the right data warehouse specialist for your business:

   • Consider promoting from within or recruiting from your existing workforce.
   • Ask for referrals from friends, family members, and current employees.
   • Attend job fairs at local colleges to find candidates who meet your education requirements.
   • Use social media platforms like LinkedIn, Facebook, and Twitter to reach potential job candidates.

   Post your job online:

   • Post your data warehouse specialist job on Zippia to find and recruit data warehouse 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

   Recruiting data warehouse specialists requires you to bring your A-game to the interview process. The first interview should introduce the company and the role to the candidate as much as they present their background experience and reasons for applying for the job. During later interviews, you can go into more detail about the technical details of the job and ask behavioral questions to gauge how they'd fit into your current company culture.

   It's also good to ask about candidates' unique skills and talents. You can move on to the technical interview if a candidate is good enough for the next step.

   If your interviews with data warehouse specialist applicants aren't enough to make a decision, you should also consider including a test project. These are often the best, most straightforward, and least bias-prone ways of determining who will likely succeed in the role. If you don't know how to design an appropriate test, you can ask someone else on the team to create it or take a look at these websites to get a few ideas:

   • 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 warehouse specialist

   Once you've found the data warehouse 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.

   After that, you can create an onboarding schedule for a new data warehouse specialist. Human Resources and the hiring manager should complete Employee Action Forms. Human Resources should also ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc., and that new employee files are created.

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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