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Data Warehouse Labs Jobs (NOW HIRING)

Cloud BC Labs

Node.js Backend Developer

Irving, TX · On-site

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

PROLIM Global Corporation

Snowflake Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Candidate should be able to demonstrate understanding of Snowflake architecture, virtual warehouses ... Shows initiative in completing certifications, hands-on labs, and self-learning activities.

Cloud BC Labs

Technology Architect

Bellevue, WA · On-site

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

Homesight Inc

Labs. * Establish data science, engineering and advanced analytics as an organizational capability * Design, construct, and manage the data architecture, including data warehouses, data lakes, and ...

Cloud BC Labs

Tableau Tech Lead

Alameda, CA · On-site

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

Cloud BC Labs

Java FSD Developer

Mclean, VA · On-site

$51.50 - $66.75/hr

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

Prolim Global

Snowflake Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Candidate should be able to demonstrate understanding of Snowflake architecture, virtual warehouses ... Shows initiative in completing certifications, hands-on labs, and self-learning activities. Apply ...

Americhem

Data Engineer Intern

Concord, NC · On-site

Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects ... Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus Skills:

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

Exposure to ETL/ELT concepts and frameworks through coursework, labs, bootcamps, or projects ... Knowledge of reporting, dashboards, scripting, or data warehouse concepts is a plus Skills:

Equinox

Sr. Data Engineer (ON-SITE)

New York, NY

Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling) * Familiarity with dbt Labs and modern ELT/analytics engineering practices

IT Labs

Lead DevOps Engineer

Tampa, FL · Remote

$54 - $74/hr

At IT Labs, we are looking for an experienced Lead DevOps Engineer to support one of the most ... Experience with Snowflake or similar cloud data warehouse platforms Working Conditions * Full-time, ...

IT Labs

Lead DevOps Engineer

Charlotte, NC · Remote

$54 - $74/hr

At IT Labs, we are looking for an experienced Lead DevOps Engineer to support one of the most ... Experience with Snowflake or similar cloud data warehouse platforms Working Conditions * Full-time, ...

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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.
Node.js Backend Developer

Node.js Backend Developer

Cloud BC Labs

Irving, TX • On-site

Other

Posted 3 days ago

Job description

Position : Node.js Backend Developer
Location : Irving, TX (Onsite)
Term : C2C/W2 role only

Job Description :

Key Responsibilities:

Research, prototype, and develop software solutions to solve problems across retail

Stay up to date with emerging technology and learn new technologies/libraries/frameworks

Learn and partner with peers across multiple disciplines

Deliver on time with a high bar on quality of research, innovation and engineering

Qualifications:

7+ years of experience in creating API using NodeJS developing

software solutions for real world problems

Familiarity with RESTful API's knowledge & modern authorization mechanisms like JWT, OAuth

7+ years of Solid foundation and understanding of relational and NoSQL database principles

5+ years of experience using CI-CD tools for containerized deployments and cloud architecture

7+ years of Experience with Micro-Services or SOA Architecture and a variety of design patterns

Familiarity with Queues/Topics (pub/sub), Kafka or other data-streaming frameworks

Familiarity with frontend frameworks (React, Angular, or Vue.js)

Bonus Skills:

Familiarity with Jenkins Pipeline, AWS Cloud Formation Deployments, AWS/Azure Certifications

Knowledge of constructing PostgreSQL or Mongo query strings and fine-tuning them for performance

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