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Data Warehouse Labs Jobs (NOW HIRING)

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

Data Warehousing: Understanding of data warehousing concepts and principles. * Data Governance ... Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for ...

Bayrock Labs

Principal Data Engineer

Milpitas, CA · On-site

$80 - $85/hr

About BayRock Labs At BayRock Labs, we pioneer innovative tech solutions that drive business ... Enterprise Data Warehouse (EDW) architecture * Dimensional modeling (Star/Snowflake) * Data Vault 2 ...

Cloud BC Labs

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

Proven experience in leading data engineering projects and mentoring junior Cloud BC Labs Inc is a ... Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing ...

Cloud BC Labs

C++ Developer

Manassas, VA · On-site

$49 - $66/hr

Unix/Linux command line experience Cloud BC Labs Inc is a digital transformation organization aimed ... Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation ...

United Community Bank

Data Engineer

Greenville, SC · On-site

$60K - $93K/yr

... warehouse as well as maintaining existing data products that serve the business today. This role ... Experience with data quality tools and platforms such as DQ Labs * Relevant certifications ...

United Community Bank

Data Engineer

Greenville, SC · On-site

$60K - $93K/yr

... warehouse as well as maintaining existing data products that serve the business today. This role ... Experience with data quality tools and platforms such as DQ Labs * Relevant certifications ...

United Community Bank

Data Engineer

Greenville, SC

$60K - $154K/yr

... warehouse as well as maintaining existing data products that serve the business today. This role ... Experience with data quality tools and platforms such as DQ Labs * Relevant certifications * Must ...

Cloud BC Labs

AWS Glue Developer

Reston, VA · On-site

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for ... Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation ...

iHealth Labs

WareHouse Associate - Sunnyvale

Sunnyvale, CA

$19 - $22.75/hr

Since then, iHealth Labs has become a global leader in digital health technology, offering a line ... Good working knowledge of warehouse data systems * Solid communication skills and inventory skills

iHealth Labs

WareHouse Associate - Sunnyvale

Sunnyvale, CA · On-site

$19 - $22.75/hr

Since then, iHealth Labs has become a global leader in digital health technology, offering a line ... Good working knowledge of warehouse data systems * Solid communication skills and inventory skills

Medgene Labs

Warehouse Technician

Brookings, SD · On-site

$21 - $23/hr

Applying a strategy of continual diagnostic surveillance and data analytics to the practice of ... Medgene Labs has a single mission: To be a world-class Immunological Services Provider™ for ...

Medgene Labs

Warehouse Technician

Brookings, SD · On-site

$21 - $23/hr

Applying a strategy of continual diagnostic surveillance and data analytics to the practice of ... Medgene Labs has a single mission: To be a world-class Immunological Services Provider™ for ...

Medgene Labs

Warehouse Technician

Brookings, SD · On-site

$15.75 - $19.25/hr

Applying a strategy of continual diagnostic surveillance and data analytics to the practice of ... Medgene Labs has a single mission: To be a world-class Immunological Services Provider™ for ...

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Data Warehouse Labs information

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

To thrive as a Data Warehouse Analyst, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database concepts, typically supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Microsoft SQL Server, Oracle, and data visualization platforms, as well as certifications such as Certified Data Management Professional (CDMP), is highly beneficial. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills and qualifications are essential for ensuring data integrity, supporting strategic decision-making, and delivering reliable business intelligence.

What is the difference between ETL and DWH?

In a Data Warehouse Labs context, ETL (Extract, Transform, Load) is the process of extracting data from source systems, transforming it into a suitable format, and loading it into a data warehouse (DWH). The data warehouse is the centralized repository that stores integrated, historical data for analysis and reporting, while ETL is the method used to populate and update it. Understanding both is essential for designing efficient data pipelines and maintaining data integrity in data warehousing projects.

What is L1 L2 L3 data warehouse?

In data warehouse environments, L1, L2, and L3 refer to different levels of data processing and storage. L1 typically involves raw data ingestion, L2 includes cleaned and transformed data for analysis, and L3 contains aggregated or summarized data for reporting. Data warehouse professionals often work with these layers using tools like ETL processes and SQL to ensure data quality and accessibility.

What are some common challenges faced by professionals working in Data Warehouse Labs, and how can they be addressed?

Professionals in Data Warehouse Labs often encounter challenges such as managing large volumes of data, ensuring data quality, and integrating data from disparate sources. Staying up to date with evolving technologies and best practices is essential to address these challenges. Collaboration with data engineers, analysts, and business stakeholders helps to clarify requirements and streamline data workflows. Proactively documenting processes and automating repetitive tasks can also improve efficiency and data accuracy in the lab environment.

What is the difference between Data Warehouse Labs vs Data Warehouse Developers?

AspectData Warehouse LabsData Warehouse Developers
CredentialsTypically require data management, analytics, or data science certificationsRequire SQL, ETL, and database certifications or degrees
Work EnvironmentResearch-focused, experimental, often in labs or innovation centersDevelopment-focused, working on building and maintaining data warehouses
Employer & IndustryTech companies, research institutions, consulting firmsEnterprises, finance, healthcare, and retail industries
Search & Comparison IntentExploring roles in data innovation and researchLooking for technical development roles in data warehousing

Data Warehouse Labs focus on research, experimentation, and innovation in data management, often within tech or research settings. In contrast, Data Warehouse Developers are responsible for designing, building, and maintaining data warehouses in various industries. Both roles require strong SQL and data skills but differ in their primary focus and work environment.

Is data warehouse a good career?

A career in data warehousing involves designing, implementing, and managing large-scale data storage systems, often requiring skills in SQL, ETL processes, and tools like Snowflake or Redshift. It is a growing field with demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong analytical skills and knowledge of database management are essential for success in this role.

How much do data warehousing specialists make?

Data warehousing specialists typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and certifications. Professionals skilled in SQL, ETL tools, and cloud platforms like AWS or Azure tend to have higher earning potential.

What are Data Warehouse Labs?

Data Warehouse Labs are specialized environments or teams focused on designing, building, and testing data warehouse solutions. These labs typically work with large datasets to create systems that organize, store, and enable analysis of business data for reporting and decision-making. Team members in Data Warehouse Labs may develop data models, optimize data storage, and implement ETL (Extract, Transform, Load) processes. They often experiment with new technologies and methodologies to improve data integration and analytics. Their work supports business intelligence initiatives and helps organizations make data-driven decisions.
Infographic showing various Data Warehouse Labs job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
GCP Data Engineer

GCP Data Engineer

Cloud BC Labs

Dearborn Heights, MI • On-site

Other

Posted 20 days ago

Job description

Position : GCP Data Engineer
Location : Dearborn, Michigan (Onsite)
Term : C2C/W2 role
Exp : 10+ Yrs

Job Description :

Basic Requirement:
Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP).
The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools.
This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience:
    • Minimum of 5 years of experience as a Data Engineer.
    • Proven experience in designing and building data pipelines and data infrastructure on Google Cloud Platform (GCP).
    • Strong understanding of data architecture principles, data modeling techniques, and data governance practices.
  • Technical Skills:
    • Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Storage and Pub/Sub.
    • SQL: Advanced SQL skills, including data manipulation, data definition, and query optimization.
    • Programming: Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and Apache Beam.
    • ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.
    • Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional modeling, data vault).
    • BI Tools: Familiarity with BI tools such as Qlik Sense, Power BI, or Looker.
    • Data Warehousing: Understanding of data warehousing concepts and principles.
    • Data Governance: Knowledge of data governance principles and practices, some experience in DataPlex
    • Version Control: Experience with Git or other version control systems.
Bonus Points:
  • Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer).
  • Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker).

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions