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Data Warehouse Labs Jobs (NOW HIRING)

Sr. Data Engineer (ON-SITE)

New York, NY · On-site

$145K - $160K/yr

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

Lead DevOps Engineer

Los Angeles, CA · 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, ...

Lead DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/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, ...

Lead DevOps Engineer

Atlanta, GA · 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, ...

Lead DevOps Engineer

Chicago, IL · 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, ...

Lead DevOps Engineer

Richmond, VA · 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, ...

Lead DevOps Engineer

Salt Lake City, UT · 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, ...

Lead DevOps Engineer

Austin, TX · 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, ...

Lead DevOps Engineer

Dallas, TX · 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, ...

Lead DevOps Engineer

San Diego, CA · 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, ...

Lead DevOps Engineer

San Jose, CA · 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, ...

Lead DevOps Engineer

Memphis, TN · 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, ...

Lead DevOps Engineer

Orlando, 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, ...

Lead DevOps Engineer

Raleigh, 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, ...

Lead DevOps Engineer

Phoenix, AZ · 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, ...

Lead DevOps Engineer

Indianapolis, IN · 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, ...

Lead DevOps Engineer

San Francisco, CA · 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, ...

Lead DevOps Engineer

Philadelphia, PA · 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, ...

Lead DevOps Engineer

Portland, OR · 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.
Sr. Data Engineer (ON-SITE)

Sr. Data Engineer (ON-SITE)

Equinox Fitness

New York, NY

$145K - $160K/yr

Full-time

Posted 5 hours ago


Equinox rating

6.8

Company rating: 6.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 61 rated gym and leisure clubs


Job description

Company Description

OUR STORY:

Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. 

OUR CODE:

We are passionate abouthigh performance livingand we practice what we preach - investing time in our own health and fitness.We believe that everyone has untapped potential within them and it takes adisruptive approachto unleash it. Wedream bigand don't settle for the status quo. Wesweat the details. We never accept less than110%tohelp each otherdeliver the Equinox experience and enable our members to get great results. We are obsessed with what's new, what's now,what's next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren't just a company; we're a community vested in each other's success. We valuehumilityand ateam approachat every level of the company.

If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you.

Job Description

Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools.

This is a full-time role located in our NYC office.

RESPONSIBILITIES

  • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems
  • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models
  • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure
  • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics
  • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data
  • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions
  • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets
  • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt)
  • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices
  • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process
  • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation
Qualifications
  • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus)
  • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows
  • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets
  • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis
  • 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
  • Experience working with structured, semi-structured, and unstructured data
  • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust
  • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams
  • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment

Pay Transparency: $145k - $160k

Additional Information

AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE:

  • We offer competitive salary, benefits, and industry leading commission opportunities for club employees
  • Complimentary Club membership
  • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop

This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department.

Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/

All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. 


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