Department:
Engineering
Position:
Sr Data Engineer
Location:
Sr Data Engineer
About SimpliSafe
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.
Why are we hiring?
Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.
About the Role
We are looking for an experienced data engineer to join our machine learning team. In this role, you will drive the design and implementation of an integrated system to manage data curation, data annotation, annotation quality and dataset composition. If you have a passion for data, automation, cloud technology, and delivering high-impact solutions, we'd love to hear from you.
Responsibilities
- Lead the design and implementation of scalable MLOps solutions related to data
- Collaborate with data scientists, engineers, and stakeholders to architect scalable solutions to ML data delivery workflow
- Develop CI/CD pipelines for ML data, ensuring seamless integration and delivery
- Manage cloud infrastructure, primarily in AWS or in specialized data annotation platforms to support ML workload
- Design database schemas to support data exploration
- Advocate for best practices in version control, data stewardship, and monitoring
Qualifications
- 5+ years of experience in software engineering, data engineering, or a related field, with at least 3 years focused on data operations or data infrastructure
- Skill in developing organized systems in highly unstructured settings
- Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
- Solid SQL knowledge and experience
- Hands-on experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, Cloud Formation)
- Proficiency in scripting languages like Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring
Nice to Have
- Experience with Ray
- Experience with AWS Big Data stack, Athena, Glue, S3, EMR
- Experience with distributed systems and big data technologies (e.g., Spark, Hadoop)
- Familiarity with tools such as MLFlow
- Background in data security and compliance, particularly in cloud environments
- Effective communication skills for working with cross-functional teams
What 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.