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Data Warehousing Jobs (NOW HIRING)

Cymertek

Data Warehouse Engineer

San Antonio, TX · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Revinate

Data Warehouse Engineer

Atlanta, GA · On-site +1

$110K - $120K/yr

Build and maintain a data warehouse (e.g., BigQuery). * Use business intelligence tools (e.g., Looker) to establish data models and create. What You'll Bring * Bachelors degree in relevant field * At ...

Revinate

Data Warehouse Engineer

Atlanta, GA · On-site +1

$110K - $120K/yr

Build and maintain a data warehouse (e.g., BigQuery). * Use business intelligence tools (e.g., Looker) to establish data models and create. What You'll Bring * Bachelors degree in relevant field * At ...

Cymertek

Data Warehouse Engineer

Honolulu, HI · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

They are seeking an early-career Data Warehouse Engineer to contribute to designing and operating their data warehouse, ETL pipelines, and improve data quality and governance. Responsibilities : • ...

Cymertek

Data Warehouse Engineer

Reston, VA · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Cymertek

Data Warehouse Engineer

Chantilly, VA · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Cymertek

Data Warehouse Engineer

Annapolis Junction, MD · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Cymertek

Data Warehouse Engineer

Aurora, CO · On-site

Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

$130K - $170K/yr

We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

The ideal candidate will have strong experience in data warehousing, ETL/ELT processes, Informatica tools, and business intelligence platforms, along with a passion for data-driven decision-making ...

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Data Warehousing information

Is data warehousing a good career?

Data warehousing is a viable career path involving designing, implementing, and managing large-scale data storage systems using tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data modeling, database management, and analytics. Certification and continuous learning can enhance job prospects in this field.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

How much do data warehouse workers make?

Data warehouse workers, such as data engineers and analysts, typically earn between $70,000 and $120,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in tools like SQL, ETL processes, and cloud platforms can earn higher salaries.

What does a data warehouse do?

A data warehousing professional designs, develops, and manages data warehouses that store large volumes of integrated data from multiple sources. Their role involves data modeling, ETL (extract, transform, load) processes, and ensuring data quality to support business intelligence and analytics. Skills in SQL, data modeling, and tools like Tableau or Power BI are often required.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that aggregate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, and tools like ETL (Extract, Transform, Load) processes, with professionals often working in environments that support business intelligence and data analytics.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.
More about Data Warehousing jobs
What cities are hiring for Data Warehousing jobs? Cities with the most 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 Data Warehousing jobs? States with the most job openings for Data Warehousing jobs include:
What job categories do people searching Data Warehousing jobs look for? The top searched job categories for Data Warehousing jobs are:
Data Warehousing jobs near you
Infographic showing various 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.
Data Warehouse Engineer

Data Warehouse Engineer

Cymertek

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Data Warehouse Engineer
LOCATION
San Antonio, TX 78208
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are looking for a detail-oriented and innovative Data Warehouse Engineer to join our team and help design, build, and maintain high-performance data warehousing solutions. In this role, you will collaborate with cross-functional teams to structure and optimize large-scale data environments, ensuring efficient data integration, storage, and accessibility for analytics and reporting. You will be responsible for implementing ETL processes, maintaining data quality, and ensuring the scalability of our data warehouse systems. The ideal candidate has a strong foundation in data modeling, data architecture, and best practices for managing large datasets, with a passion for driving data-driven decision-making. If you are excited about working with complex data systems and creating robust data infrastructure, we want to hear from you.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, ETL Developer, Data Architect, Business Intelligence Engineer, Data Integration Engineer, Database Engineer, Data Systems Engineer, Analytics Engineer, Big Data Engineer, Data Infrastructure Engineer, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Information Systems, Data Science, Software Engineering, Mathematics, Statistics, Database Management, Information Technology, Business Analytics, Applied Science, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Experience with data warehouse architecture
  • Proficiency in ETL tools and processes
  • Ability to design and implement data models
  • Expertise in data integration and transformation
  • Strong knowledge of database management systems
  • Understanding of data governance and compliance

REQUIRED SKILLS
  • Proficiency in SQL and relational databases
  • Familiarity with cloud-based data warehouses
  • Expertise in data quality management
  • Experience with data pipeline orchestration
  • Strong understanding of data warehousing concepts
  • Skill in performance tuning of data systems

DESIRED SKILLS
  • Knowledge of NoSQL databases
  • Experience with real-time data processing
  • Familiarity with business intelligence tools
  • Understanding of data security protocols
  • Experience in handling unstructured data
  • Familiarity with machine learning integration

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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