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Entry Level Data Warehousing Jobs (NOW HIRING)

PCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant PCS Global Tech is a Microsoft Solutions Partner and technology ... Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts. Potential ...

Inroads

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Support source onboarding and ingestion from APIs, files, or databases into the warehouse.

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

... Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced computerized models to extract the data needed Removing corrupted data and ...

Babel Street

Data Warehouse Software Engineer I

$117K - $140K/yr

This is an entry-level position perfect for a self-starter who possesses strong foundational SQL ... warehousing structures (tables, views, and data lakes). * BI / Looker Experience: Hands-on ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... data problems Assess project requirements and develop data analysis algorithms Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables Contribute to ...

TEKsystems

Data Center Technician

Fort Wayne, IN

$20 - $21/hr

Entry-Level Data Center Technician Launch a New Career in Technology -- No Data Center Experience ... Warehouse or manufacturing environments * Cable installation * Military service

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How much do entry level data warehousing jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level data warehousing in the United States is $65.82, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $76.44 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level data warehousing professionals, and how can they overcome them?

Entry level data warehousing professionals often encounter challenges such as understanding complex data models, working with large datasets, and learning new ETL (Extract, Transform, Load) tools. Adapting to rapidly changing technologies and ensuring data quality can also be demanding. To overcome these challenges, it is helpful to proactively seek mentorship from experienced team members, take advantage of online tutorials or company training resources, and regularly practice hands-on tasks within your projects. Collaboration and open communication with team members can also accelerate learning and help resolve technical issues more efficiently.

What is an entry level data warehousing job?

Entry level data warehousing jobs are positions designed for individuals who are new to the field of managing and organizing large sets of data for analysis and reporting. These roles typically involve supporting the development, maintenance, and optimization of data warehouses, which are centralized repositories that store data from various sources. Responsibilities may include data extraction, transformation, and loading (ETL), basic database management, and assisting with data quality checks. Entry level professionals often work under the supervision of experienced data engineers or analysts and gain experience with tools like SQL, ETL software, and data visualization tools. Most entry level roles require strong analytical skills, attention to detail, and a foundation in databases or computer science.

What are the key skills and qualifications needed to thrive as an entry level data warehousing professional?

To thrive as an Entry Level Data Warehousing professional, you need a solid understanding of database concepts, SQL, and basic data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools such as Microsoft SQL Server, Oracle, or cloud platforms like AWS Redshift, as well as certifications like Microsoft Certified: Azure Data Fundamentals, is beneficial. Attention to detail, problem-solving abilities, and effective communication help you accurately manage data and collaborate with technical teams. These skills are crucial for ensuring data integrity and supporting business intelligence efforts within organizations.

What is the difference between Entry Level Data Warehousing vs Data Analyst?

AspectEntry Level Data WarehousingData Analyst
Required CredentialsBasic SQL, data management certifications, relevant degreeStatistical, analytical, and data visualization skills, often with similar certifications
Work EnvironmentData warehouses, ETL processes, database management systemsData analysis tools, dashboards, reporting platforms
Employer & Industry UsageTech, finance, healthcare, retail companies managing large datasetsMarketing, finance, consulting, and other sectors analyzing data for insights

Entry Level Data Warehousing focuses on managing and organizing large datasets within data warehouses, while Data Analysts interpret data to generate reports and insights. Both roles require similar foundational skills but differ in daily tasks and focus areas.

How to get into entry level data warehousing?

To enter an entry-level data warehousing role, develop skills in SQL, data modeling, and ETL tools such as Informatica or Talend. Gaining familiarity with database systems like Oracle or SQL Server and obtaining certifications like Microsoft Certified: Data Analyst can improve job prospects.
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Entry Level Data Warehousing jobs near you
Infographic showing various Entry Level Data Warehousing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,908 per year, or $65.8 per hour.

Entry Level Data/AI Engineer

PCS Global Tech

San Diego, CA • On-site

$121K - $146K/yr

Other

Posted 9 days ago

Job description

Entry-Level Data & AI Consultant

PCS Global Tech is a Microsoft Solutions Partner and technology consulting company helping recent STEM graduates launch careers in Data, Cloud, Business Intelligence, and AI. Through our Talent Development Program, candidates receive structured training, hands-on project preparation, career support, and real-world client experience through our train-to-hire career development pathway.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement


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