Data Warehouse Engineer at Semperis
Dallas, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Models, Data Architecture, Implementation Experience, Snowflake, Data Engineering, Data Science, Information Systems, Analytical Skills, Computer Science, Data Warehouse, Power Bi, Data Quality Assurance, Pipeline Development, Operational Systems

Industry

Information Technology/IT

Description

At Semperis, our mission is to be a Force for Good. Starting with being a great place to work. We believe that when people feel valued, supported, and empowered, they do their best work. That’s why we focus on creating an employee experience rooted in purpose, growth, and balance. Semperis has been recognized as one of America’s Fastest-Growing Cybersecurity Companies by the Inc. 5000, a DUNS 100 Top Startup to Work For, and a multi-year Inc. Best Workplace awardee.

WHAT WE ARE LOOKING FOR:

Semperis is looking for a Data Warehouse Engineer to join our Business Analytics team. We are looking for an individual that has strong hands-on expertise in cloud data warehousing and is passionate about data and analytics. As a strategic member of the team, you will be responsible for the design, implementation and maintenance of a modern cloud data platform that supports business intelligence, advanced analytics and data science.

BASIC QUALIFICATIONS:

  • Bachelor’s degree in Information Systems, Computer Science, Data Engineering, or related discipline and 8+ years of professional experience
  • Proven experience in data architecture, data warehouse, and/or data design
  • Demonstrated experience delivering scalable data warehousing products to support operational and analytical data needs for operational systems, data science, and analytics teams
  • Strong experience in designing scalable and enterprise-scale conceptual, logical, and physical data models
  • Strong knowledge & implementation experience of data warehousing concepts, data modeling techniques, and industry best practices
  • Demonstrated expertise in ELT patterns and processes, with a focus on scalable data pipeline development, data quality assurance, and data privacy management using modern tools such as dbt
  • Proven ability to implement robust data governance frameworks and ensure compliance with privacy standards across complex data ecosystems
  • Experience with Snowflake
  • Experience with one of the following BI reporting tools is a plus (i.e. Tableau, Power BI, etc.)
  • Solid technical and analytical skills with the ability to communicate across the organization and manage multiple priorities

WHY JOIN SEMPERIS?

You’ll be part of a global team on the front lines of cybersecurity innovation. At Semperis, we celebrate curiosity, integrity, and people who take initiative. If you’re someone who sees the glass as half full, embraces challenges as growth opportunities, and values a healthy balance between work and life—we’d love to meet you.
**Semperis maintains office locations in several cities across the globe. Candidates who reside within 45 miles of one of our offices—or where the job description specifies a required location—will follow our hybrid work model. This includes working onsite three days per week and remotely the remaining days.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Build and maintain a deep understanding of the data and analytics landscape at Semperis including data sources, data and analytic assets and products, analytic tools and software, and master data
  • Deploy and manage cloud data warehouse
  • Perform data warehouse maintenance, optimization and configuration tuning
  • Determine data design and development, including data architecture, modeling and ETL development
  • Create simple, flexible, and scalable data models to meet the wide range of business needs across the organization
  • Define and manage cloud data warehouse and big data technology standards, guidelines, and processes to ensure data quality
  • Oversee end-to-end cloud data warehouse and big data life cycle management activities
Loading...