As a Senior Data Engineer at Impulse Space, you will guide us in designing, implementing, and optimizing our new data warehouse environment. This is a foundational role where you will be instrumental in evaluating and selecting the right tools, establishing data processes, and enabling our team to leverage data effectively. You will be a key player in transforming our current reporting capabilities into a robust, scalable data platform.

Platform Strategy & Tool Evaluation: Lead the assessment of existing data capabilities and potential new tools, focusing on modern data stack solutions. Implementation & Architecture: Design and oversee the end-to-end implementation of the data warehouse architecture, including data ingestion (ETL/ELT), storage, modeling, and reporting layers. Process Development:Establish best practices for data governance, quality, security, and documentation to ensure a sustainable environment.

Data Integration: Implement pipelines to integrate data from various sources into the data warehouse using tools like Airbyte, ensuring data accuracy and consistency.

Requirements

BI Optimization: Enhance existing Business Intelligence (BI) capabilities by improving the utilization of Power BI for advanced reporting, moving beyond basic use. Training & Enablement: Develop training programs and documentation for "power users" and staff to foster a data-driven culture and enable self-service analytics. Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline.

5+ years of professional experience building solutions with SQL. Demonstrated experience leveraging Business Intelligence tools (Power BI and/or Tableau). Strong expertise with data warehousing platforms and database management.

Hands-on experience with ETL/ELT tools such as Airbyte Experience with Retool or cloud platforms (AWS, Azure, GCP). Exceptional communication skills with the ability to translate complex technical concepts for non-technical audiences. Strong project management skills, including the ability to oversee implementation plans and timelines.

Compensation

bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.

S. export regulations including the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). S.

S. S. S.

government agencies. Learn more about the ITAR here.

Qualifications

and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Senior Data Engineer (ERP)