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Entry Level Data Warehousing Jobs (NOW HIRING)

Data Center Low Voltage Technician (Entry-Level)Job Overview We are seeking a motivated and ... No prior data center experience required. * Experience in construction, warehouse, manufacturing ...

This is an entry-level role on-site at WellSky WHQ in Overland Park, KS. In-office attendance is ... Build understanding of technical best practices for data integration, data warehousing, and data ...

Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

This is an entry-level role on-site at WellSky WHQ in Overland Park, KS. In-office attendance is ... Build understanding of technical best practices for data integration, data warehousing, and data ...

Data Center Low Voltage Technician (Entry-Level)Job Overview We are seeking a motivated and ... No prior data center experience required. * Experience in construction, warehouse, manufacturing ...

Entry Level Infermatica(ETL) Developer

Austin, TX · On-site

$50.50 - $66.25/hr

Informatica Developer Hadronts Group is searching for an entry level Informatica Developer to join ... robust Data Warehouse In this role you will be responsible for providing expertise to business ...

Data Engineer I

Grand Rapids, MI · On-site

$110K - $132K/yr

SUMMARY Data Engineer I is an entry-level role designed for individuals early in their data ... Familiarity with data warehousing concepts and ETL processes * Exposure to Azure, AWS, or other ...

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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 Sep 15, 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 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 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 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 foundational skills in SQL, data modeling, and ETL processes. Gaining experience with tools like Microsoft SQL Server, Oracle, or cloud platforms such as AWS or Azure, along with relevant certifications, can improve job prospects.
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Infographic showing various Entry Level Data Warehousing job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,908 per year, or $65.8 per hour.

Database Engineer - Data Warehouses

Oak Brook, IL • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

Database Engineer
Overview
A growing organization is seeking a Database Engineer to help design, build, and modernize enterprise data warehouse solutions supporting analytics, reporting, and business intelligence initiatives.
This individual will play a key role in establishing scalable data architecture, modern transformation processes, and future-state reporting environments.
Key Responsibilities
  • Design and implement modern data warehouse architectures
  • Build and maintain ELT pipelines and data transformation processes
  • Develop scalable data models for reporting and analytics
  • Support business intelligence and data consumption initiatives
  • Partner with stakeholders to gather data requirements
  • Monitor and optimize database performance
  • Create documentation, architecture diagrams, and process standards
  • Support data governance, security, backup, and recovery processes
  • Evaluate and recommend emerging data technologies

Required Qualifications
  • Bachelor's degree or equivalent experience
  • Strong SQL skills
  • Experience with enterprise data warehouse environments
  • Experience with data modeling and relational databases
  • Experience building ELT or ETL processes
  • Strong analytical and problem-solving skills
  • Excellent communication skills

Preferred Qualifications
  • Snowflake
  • Databricks
  • Oracle
  • PostgreSQL
  • Business Intelligence tools
  • Data Lake architectures
  • Cloud-native data platforms
  • DevOps or CI/CD experience
  • Python or scripting experience

Compensation & Benefits
  • Base Salary: $140,000 - $150,000 annually
  • Eligibility to earn a 5% bonus
  • Flexible PTO
  • Hybrid work schedule
  • Medical, Dental, and Vision benefits available

Work Environment
  • Hybrid work model
  • 3-4 days onsite
  • Collaborative data and analytics team
  • Transformation-focused environment
  • Opportunity to help build foundational enterprise data architecture

#LI-JH3
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.