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Data Warehouse Engineer Jobs (NOW HIRING)

Revinate

Data Warehouse Engineer

Atlanta, GA · Remote

This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse * Active monitoring and alerting of the data and ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA

$140K - $180K/yr

Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA · On-site +1

$140K - $180K/yr

Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We ...

Network Health

Data Warehouse Engineer I

Menasha, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging ...

Steampunk

Senior Data Warehouse Engineer

Mclean, VA

$140K - $180K/yr

We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are ...

Apex Informatics

Data Warehouse Developer

New York, NY · On-site

$54 - $73.75/hr

Sr Enterprise Data Warehouse Developer NYC (hybrd role) Look candidates within NY Must-haves: Data Warehousing expert Sourcing data, transforming data, star schema, landing, dimensions, data ...

New England Life Care

Data Warehouse Developer

Woburn, MA · On-site

$115K - $130K/yr

The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting ...

New England Life Care

Data Warehouse Developer

Canton, MA · On-site

$115K - $130K/yr

The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting ...

Purple Drive Technologies

Data Warehouse Developer

Quincy, MA · On-site

$51.75 - $71/hr

Role Description We are seeking an experienced Data Warehouse Developer with strong expertise in Data Warehousing, ETL development, and Talend Open Studio . The ideal candidate will be responsible ...

Infojini Inc

Data Warehouse Programmer

Las Vegas, NV · On-site

We offer an excellent compensation package Title:- Data Warehouse Programmer Duration :- 5 Months Location :- Las Vegas , NV The Data Warehouse Programmer is a key member of the Enterprise Data ...

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How much do data warehouse engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data warehouse engineer in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What are Data Warehouse Engineers?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges Data Warehouse Engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

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

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
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Data Warehouse Engineer jobs near you
Data Warehouse Engineer

Data Warehouse Engineer

Revinate

Atlanta, GA • Remote

Full-time

Posted 8 days ago

Job description

Company Overview

Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability.

Our products and our people combine to give hoteliers the superpowers they need to crush their goals. With Revinate, hoteliers shift share away from OTAs and drive tangible results across an individual property or a portfolio. Our industry-leading, AI-powered, customer data platform collects, unifies and, synthesizes data giving hoteliers a foundational advantage.

Hoteliers gain critical intelligence – guest lifetime spend, stay preferences, ancillary revenue, and more. With Revinate’s Rich Guest Profile® data points, hoteliers don’t need to guess who their most profitable guests are, or how to drive conversions across email, voice, messaging, and digital channels.

Revinate's direct booking platform and omnichannel communication technology powers 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue.

Be a superhero. Join the mission. Transform the industry.

Get Revinate. Get superpowers.

 
Role Overview

This person is responsible for building and maintaining an internal Data warehouse that aggregates and organizes data from various source systems on a recurring basis. The team also builds dynamic reports to facilitate complex business analyses and enable business users to answer their most important data-driven questions. They also help communicate across different business groups in order to bring a source of truth to data. 

Three Outcomes For Year One
  • Help transition and stabilize the new data architecture
  • This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse 
  • Active monitoring and alerting of the data and its sources
 
What You'll Do

  • Define and align on critical business metrics by collaborating closely with department leaders.

  • Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases.

  • Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers.

  • 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 least three years of relevant experience working with data warehouses and business intelligence platforms
  • Meaningful experience with the following technologies:
    • Python (or a similar language)
    • Apache Airflow
    • Google BigQuery
    • SQL
  • Experience in Cloud Data Warehouses 
  • Familiarity with Data ecosystems
People Describe You As

  • Relentlessly driven for improvement, actively seeking new knowledge, and always ready to embrace and conquer complex challenges.

Benefits
  • Competitive Health Benefits: Revinate offers multiple insurance options, including an employee premium paid 100% by Revinate
  • Paid Family & Parental Leave: A comprehensive paid leave program, ensuring you have the time you need.
  • Family Building Benefits: Revinate offers multiple medical plans, including a buy-up option with $20,000 of coverage for medically necessary fertility treatments.
  • Excellent Dental and Vision Benefits
  • 401(k) Program: Includes an employer match
  • Optional plans for Short & Long Term Disability insurance, as well as Life insurance
  • Paid Flex time off
  • Employee Assistance Program (EAP)
  • Perks: Monthly work from home stipend, Telehealth access, Peloton benefits and many more.

The compensation package for the Data Warehouse Engineer position includes a base salary.

 
This salary range may be inclusive of several career levels at Revinate and will be narrowed during the interview process based on a number of factors, including (but not limited to) the candidate’s experience, qualifications and location. 
Interview Process 
We're excited you're considering a career with Revinate! Our goal is to ensure this is the right opportunity for you, while also determining if you're the right fit for our team. The interview process for this role is designed to be a two-way street, where you'll get to know us just as we get to know you.
  • Recruiter Screen - 30 min
  • Hiring Manager Interview - 45 min
  • Technical Interview with Team Members - 60min  
  • Final Interview with Team Executive - 30 min
 
Revinate values the flexibility of a remote workforce and the benefits of localized hiring. We focus on specific cities to foster local communities and enhance team cohesion, allowing employees to collaborate, attend local events, and build a strong sense of community and company culture.
Candidates must be located in the city listed in the job application. Thank you!
 
Revinate is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complementary.
 
Important Security Alert
We have been made aware of fraudulent activities involving individuals impersonating our HR team and offering fake job opportunities. Please be vigilant and ensure your safety by verifying all job offers.
 
For Authentic Opportunities: Only refer to our official careers page on our company website. Your security is our priority. If you encounter any suspicious activity, please report it immediately. Stay safe and secure! You can confirm or inquire with any questions by reaching out to recruiting@revinate.com
 
 
AI and Hiring

Please note that interviews at Revinate will be recorded using brighthire.ai. As we continue to build more structure into our interview processes -- the best way to eliminate unconscious bias! We are encouraging our interviewers to focus more on our candidates and the conversation than taking notes. Instead, we can rely on brighthire.ai to do the note taking for us. If you’re uncomfortable with recording your interview, please let us now. We’ll opt you out.   

 
 
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#LI-AE1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.