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Entry Level Data Warehousing Jobs (NOW HIRING)

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

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

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Support Azure SQL databases and data warehouse initiatives. * Develop basic automation using Python ... Why This Opportunity? This is more than an entry-level Data Engineering position-it's an ...

... 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 ...

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 ...

... 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 ...

Warehouse or industrial environments Why Apply? * Entry-level opportunity with on-the-job training * Gain valuable experience in the rapidly growing data center industry * Work with a team that ...

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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Entry Level Data Warehousing information

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

As of Jul 13, 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.

Is it easy to get a warehouse job with no experience?

Entry level data warehousing jobs typically require some technical skills such as SQL or basic data management knowledge, but many employers are willing to train candidates with no prior experience. Having a strong understanding of data concepts and certifications like Microsoft SQL Server or cloud platform training can improve chances of securing such roles. Entry level positions often focus on learning on the job, making it possible to start without extensive experience.

What is L1 L2 L3 data warehouse?

In data warehousing, L1, L2, and L3 refer to different levels of data processing and storage. L1 typically represents raw, unprocessed data, L2 involves cleaned and integrated data, and L3 contains aggregated or summarized data for analysis. Entry level data warehousing roles often require understanding these levels to support data pipeline development and reporting.

What are entry level data warehousing jobs?

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, and why are they important?

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.

How to get into data warehousing?

To enter data warehousing, develop skills in SQL, ETL processes, and database management, and gain familiarity with tools like Amazon Redshift, Snowflake, or Microsoft Azure Synapse. Pursuing relevant certifications and gaining experience with data modeling and cloud platforms can improve job prospects in this field.

Is data warehousing dead?

Data warehousing remains a vital part of data management, with many organizations continuing to invest in traditional and cloud-based solutions. Entry level data warehousing roles often involve working with tools like SQL, ETL processes, and data modeling, which are still in demand despite the rise of real-time analytics and data lakes.

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.

More about Entry Level Data Warehousing jobs
What cities are hiring for Entry Level Data Warehousing jobs? Cities with the most Entry Level Data Warehousing job openings:
What are the most commonly searched types of Data Warehousing jobs? The most popular types of Data Warehousing jobs are:
What states have the most Entry Level Data Warehousing jobs? States with the most job openings for Entry Level Data Warehousing jobs include:
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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% 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

Entry Level Data/AI Engineer

CCS Global Tech

San Diego, CA • On-site

$121K - $146K/yr

Other

Posted 11 days ago


Job description

Entry-Level Data & AI Consultant

CCS 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