Data Warehouse Specialist Jobs
Data Warehouse Specialist jobs are open across healthcare, financial services, retail, logistics, and technology, from junior analyst to senior architect and lead, with specializations in ETL development, dimensional modeling, and cloud migration. Scan the live roles below and apply to whichever ones fit.
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Mighty Auto Parts is seeking a friendly, highly motivated Data Entry and Warehouse Specialist to be a key administrative assistant and warehouse associate in a fast-paced, rapidly growing business. This is an important position. It requires great attention to detail and phone skills. This is a fast-paced warehouse environment. You will have a nice office of your own and the opportunity to work with highly motivated people. The ideal candidate will be capable of working both independently and collaborating with a team. This is a full-time position. Workload will be about 40% administrative and data entry, 60% warehouse work (stocking shelves and picking and verifying orders).
Success in this role requires: 1. Attention to Detail 2. Enjoying solving endless small problems by collaborating with great teammates. 3. A commitment to "Do It Now"!
He or she will be:
- A True Team Player - Friendly, Helpful, and Patient
- An excellent communicator who understands the proper timing and use of e-mail, text, phone, and in-person conversations.
- Experienced in warehouse operations - stocking shelves, picking, verifying, and packing orders for delivery.
- Great on the Phone, with excellent customer service skills
- Experienced with Creating Customer Orders, Invoicing, and Credits
- Comfortable learning new (user-friendly) software such as Autopart (customer and inventory database), Elite Extra (route management), and Phocas (business information)
- Proficient in MS Outlook and Word
- Good with numbers and basic math concepts
- Proficient in the concepts of Ordering and Receiving Inventory
- A Fast, Patient Learner
- Comfortable with a small (16,000 sq. foot) warehouse environment
- Reliable and Trustworthy. This can evolve into a key-holding position.
Job Type: Full-time
Pay: From $20.00 per hour
Benefits:
- Employee discount
- Paid time off
Education:
- Associate (Preferred)
Work Location: In person
Data Warehouse Specialist Jobs by Experience Level
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Find JobsData Warehouse Specialist Job Market
Who's Hiring



Top Industries Hiring
- Transportation & Logistics
What Employers Look For
The qualifications that appear most often in data warehouse specialist jobs.
- Proficiency in SQL for complex querying, data transformation, and performance tuning
- Hands-on experience with at least one cloud warehouse platform such as Snowflake, Redshift, or BigQuery
- Experience designing and implementing ETL or ELT pipelines using tools like Informatica, dbt, or SSIS
- Knowledge of dimensional modeling concepts including star schemas, snowflake schemas, and slowly changing dimensions
- Bachelor's degree in computer science, information systems, or a closely related field
- Familiarity with data governance, data quality frameworks, and metadata management practices
Tips for Your Data Warehouse Specialist Job Search
Tailor your resume to the stack
Hiring managers scan for specific tools before reading anything else. List every warehouse platform, ETL tool, and query language you've used by name, and match the exact terms in each job posting so your resume clears automated screening.
Quantify your data at scale
Vague claims about 'large datasets' get ignored. Replace them with concrete figures: row counts, pipeline frequency, load times before and after optimization, or the number of downstream reports your warehouse supports. Specificity signals real experience.
Apply early to roles that fit
Migrate Mate lists data warehouse specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that match your cloud tier
Data warehouse roles split sharply between legacy on-premise environments and cloud-native stacks. Filter your search by the platform you know best, whether that's Snowflake, Redshift, BigQuery, or Synapse, so you're not interviewed out of your depth.
Prepare a schema design walk-through
Most technical interviews for this role include a live modeling exercise. Practice explaining a star or snowflake schema you've built from scratch, the tradeoffs you made, and how you would change it knowing what you know now.
Negotiate around performance milestones
If base pay is fixed, push for structured raises tied to measurable outcomes like query performance improvements or successful migrations. Data warehouse work produces clear metrics, which makes milestone-based agreements easier to anchor than in most engineering roles.
Data Warehouse Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data warehouse specialists?
The most active employers for data warehouse specialists right now are FNS, FNS, and MKS2 Technologies, and the most openings are in Arizona, Nevada, and Pennsylvania, based on current listings on Migrate Mate as of November 2026. Healthcare systems, financial institutions, and large retailers tend to post the most consistently throughout the year.
How many data warehouse specialist jobs are remote?
About 25% of data warehouse specialist openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data teams. Cloud-native roles focused on Snowflake or dbt tend to be the most remote-friendly, while positions tied to on-premise infrastructure or sensitive regulated data more often require on-site presence.
How do you become a data warehouse specialist?
Start by building strong SQL skills and learning dimensional modeling fundamentals, then get hands-on with at least one ETL tool and one cloud warehouse platform through personal projects or coursework. A degree in computer science or information systems helps, but a portfolio of documented pipelines and schema designs often carries more weight with hiring managers. Entry-level business intelligence or data analyst roles are a common first step into the specialization.
Can you get a data warehouse specialist job with little experience?
Yes, candidates with limited professional experience can break in by building portfolio projects that demonstrate real warehouse design decisions, such as ingesting a public dataset into Snowflake or BigQuery, modeling it in a star schema, and documenting the tradeoffs. Internships on data engineering or analytics engineering teams, contributions to open-source data projects, and certifications from cloud providers all strengthen an entry-level application without requiring years of job history.
What does the data warehouse specialist interview process look like?
Most processes start with a recruiter screen followed by a technical phone interview covering SQL and data modeling concepts. A take-home or live coding exercise typically involves writing queries against a provided schema or designing a warehouse structure from a business scenario. Final rounds usually include a system design discussion where you walk through a past pipeline, explain your architectural choices, and answer questions from both engineers and business stakeholders.
Where can I find and apply to data warehouse specialist jobs?
You can find and apply to data warehouse specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits.
See All 6 Data Warehouse Specialist Jobs
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