Staff Data Analytics Engineer

Company: SimpliSafe, Inc.
Location: Boston
Posted on: May 9, 2025

Job Description:

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.About the RoleAs a Staff Data Analytics Engineer on our Core Engineering Data Team, you will play a key role in shaping our data landscape for critical Product and Engineering domains. You will take ownership of the design, development, and curation of domain-specific data marts, ensuring their quality and fitness for purpose. Your expertise will be instrumental in empowering data-driven decisions across the organization. If you are a passionate data advocate with a strong focus on quality and a proven track record of delivering high-impact analytics solutions, we want to hear from you.Responsibilities

• Lead the design, development, and documentation of curated data marts for Product and Engineering domains leveraging centralized data platform
• Partner closely with producers of data across Simplisafe to develop understanding of data creation and meaning
• Collaborate with data analysts, engineers, product managers, and stakeholders to translate needs into data requirements and ensure data is fit for purpose
• Partner with Product and Engineering teams to develop KPIs for tracking ML performance and impact
• Identify areas for improvement and collaborate with Data Engineering to contribute to centralized data engineering infrastructure
• Establish and enforce data quality and management standards for curated data marts, evaluating and maintaining quality on an ongoing basis
• 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 within Engineering
• Play a key role in the formation of our new team, contributing to the developing team norms, practices, and charterQualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field or equivalent practical experience
  • 8+ years of experience in data science or analytics, data engineering, or a related field, (3+ years building data sets from device data or similar high-volume, high-velocity 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
  • Demonstrated ability to develop and implement organized and scalable data solutions in complex and evolving data environments.
  • Strong understanding of data quality frameworks and data governance practices
  • Solid understanding of product and engineering development cycles
  • Love of data and passion for data qualityNice to Have
    • 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 toolsWhat Values You'll Share
      • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
      • Aim High - Always challenging ourselves and others to raise the bar.
      • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style.
      • One Team - Taking a highly collaborative approach to achieving success.
      • Lift As We Climb - Investing in developing others and helping others around us succeed.
      • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.What We Offer
        • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
        • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here )
        • Free SimpliSafe system and professional monitoring for your home.
        • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com .
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Keywords: SimpliSafe, Inc., Peabody , Staff Data Analytics Engineer, Engineering , Boston, Massachusetts