Staff Data Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-08-21
Listing for:
SimpliSafe Home Security
Full Time
position Listed on 2026-08-21
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
About Simpli Safe
Simpli Safe is dedicated to home security, designing user-centric products for comprehensive protection.
About the RoleAs a Staff Data Engineer on the Core Engineering Data Team, you will shape the data landscape for Product and Engineering. You will own the design, development, and curation of domain-specific data marts, ensuring their quality and empowering data-driven decisions.
Responsibilities- Lead the design, development, and documentation of curated data marts for Product and Engineering domains using a centralized data platform.
- Partner with data producers to understand data creation and meaning.
- Collaborate with analysts, engineers, product managers, and stakeholders to translate needs into data requirements.
- Partner with Product and Engineering teams to develop KPIs for tracking ML performance and impact.
- Identify areas for improvement and contribute to centralized data engineering infrastructure.
- Establish and enforce data quality and management standards for curated data marts.
- Maintain data pipelines and analytics for Product and Engineering.
- Champion data discovery, catalog, and analytics tooling.
- Advocate for best practices in analytics engineering, data stewardship, and quality.
- Contribute to the formation of our new team, developing team norms, practices, and charter.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related field or equivalent experience.
- 8+ years of experience in data science, analytics, data engineering, or a related field (3+ years building data sets from device data or similar high-volume sources).
- 5+ years working with data analytics and BI tools.
- 5+ years of experience with SQL for advanced data analysis and transformation.
- 3+ years experience in Python for data manipulation.
- Ability to develop and implement scalable data solutions.
- Strong understanding of data quality frameworks and data governance practices.
- Solid understanding of product and engineering development cycles.
- Passion for data and data quality.
- Experience with Dagster, Airflow, or other data orchestration tools.
- Experience with query engines such as Athena and AWS infrastructure.
- Experience with data quality, catalog, and discovery tools.
- A mission- and values-driven culture.
- Free Simpli Safe system and professional monitoring.
- Employee Resource Groups (ERGs).
We embrace diversity and encourage applications from all individuals.
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