Data Engineer II
SimpliSafeAbout the role
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
As a Data Engineer II on our Core Engineering Data Team, you will focus on building, maintaining, and optimizing the critical data pipelines and infrastructure that power our analytical and application platforms. You will play a key role in ensuring our data is accurate, reliable, and accessible for downstream ML, Engineering, and Product teams. If you have a passion for data, cloud technology, and continuous improvement, we encourage you to apply.
Responsibilities:
The Data Engineer II will focus on executing core data engineering tasks, supporting the senior team members, and contributing to platform improvements:
- Develop and maintain efficient and reliable ETL/ELT data pipelines from product and service data sources to our centralized analytical platforms.
- Implement and monitor data pipeline orchestration using tools like Airflow or Dagster to ensure timely and accurate data delivery.
- Collaborate with senior engineers and analysts to understand requirements and implement technical solutions for data workflows.
- Perform routine monitoring of pipeline performance and reliability, assisting with troubleshooting and optimizing for efficiency.
- Contribute to the optimization of table structures and data storage to support various query and usage patterns.
- Support and maintain data discovery, catalog, and analytics tooling for internal teams.
- Assist in implementing data security measures and ensuring compliance with data governance policies.
- Write and maintain data quality validation checks and unit tests to ensure the integrity and reliability of data pipelines.
- Participate in team-wide discussions to help develop and refine team norms and engineering best practices.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
- 2+ years of experience in software engineering, data engineering, or a related field
- Foundational knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
- Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
- Strong knowledge of Python for use in data transformation
- Experience with ETL/ELT, schema design, and datalake technologies
- Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
- Love of data and a passion for building reliable data products
Nice to Have
- Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Familiarity with data orchestration tools like Dagster, Airflow, or Prefect
- Experience in home security technology and/or consumer IoT products
- Experience using and managing data analytics, data quality, and data catalog tools
- Familiarity with data streaming platforms like Kafka, Kinesis, or Spark
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 arou
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