Data Engineering Manager

4 weeks ago

Reston, Virginia, United States 3Z Brands Full time
About the Role

3Z Brands is a leading sleep brand company that is growing rapidly. We are seeking an experienced Data Engineering Manager to join our Technology Team. This role can be based in our Phoenix site or worked remotely with occasional travel to AZ.

As a Data Engineering Manager, you will contribute to the company's objectives by delivering rapid and scalable data solutions. You will develop, maintain, and improve data pipelines, data warehouses, and reporting and analytic solutions to accomplish a broad range of business outcomes.

Key Responsibilities
  1. Build and deliver Data Engineering projects
  2. Delivery focused: Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional teams, and execute development and implementation with a focus on value.
  3. Agile and pragmatic: Rapidly and iteratively deliver results in high pressured projects with the skill to pivot quickly as needed relative to business needs and value.
  4. Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS), languages/technologies (e.g., Python, SQL), Orchestration (DBT) and tools (e.g., Snowflake, Power BI), with an ability to build IP into reusable software.
  5. Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent stakeholder engagement skills.
  6. Build a reputation as a trusted technologist and voice on Data topics both internally and externally
  7. Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full software development lifecycle and application stack
  8. Test & Learn mentality: Challenge our current best thinking, test theories, and iterate rapidly.
  9. Creativity: Invent new analyses to solve business problems
  10. Trusted voice: Establish a reputation of delivering on commitments, building trusted relationships with stakeholders.
  11. Subject matter expertise: Develop deep subject matter expertise across techniques, technologies, and industries.
Qualifications
  • Bachelor's degree in a STEM field or equivalent experience.
  • Minimum of 3 years of experience as a data engineer.
  • Advanced skills in SQL and Python are required.
  • Experience with DBT and Snowflake Data Warehouse is preferred.
  • Familiarity with one or more reporting suites such as Power BI and/or Looker.
  • Previous experience in a technical lead or supervisory role is preferred.
  • Excellent communication and interpersonal skills.
Compensation and Benefits

Competitive salary commensurate with experience. Comprehensive medical, dental, and vision insurance. 401(k) program with company match. Employee referral program and bonus.

Our culture is defined by our values of Collaboration, Commitment, and Care. We are committed to inclusion, equitable support, and respect for all team members.

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