[Hiring] Staff Data Engineer @SecurityScorecard

Role Description

We are looking for a Staff Engineer to join our Data Engineering team. This is a senior individual contributor role with real technical leadership scope — you will serve as a technical anchor for the team, raising the bar on engineering quality, mentoring engineers at earlier career stages, and owning complex, high-impact systems end-to-end. Our data infrastructure is Scala and Spark-first, processing data at significant scale to power security ratings for over 2 million companies worldwide. If you thrive in environments where you own hard problems, make independent architectural decisions, and can operate with minimal handholding, this role was built for you.

This role is open to candidates based in Canada (Eastern time zone preferred) or LATAM.

What You Will Do

• Serve as a technical lead and de facto anchor for the data engineering team — setting the standard for code quality, system design, and engineering judgment
• Own complex, ambiguous data engineering problems end-to-end, from architecture through deployment and ongoing reliability
• Mentor and level up junior and mid-level engineers through code reviews, design discussions, and direct feedback
• Partner with Product Managers and cross-functional stakeholders to translate business requirements into scalable, maintainable technical solutions
• Drive architectural decisions across infrastructure, application, and data tiers — and be accountable for their outcomes
• Identify and lead initiatives to improve system performance, reliability, and engineering efficiency across the team
• Participate in all stages of the software development life cycle, from design and development through deployment and maintenance
• Implement comprehensive testing and performance tuning to ensure system stability and uptime

Responsibilities

• Define technical approaches for large-scope projects, estimate effort, and help unblock teammates at all levels
• Write clean, maintainable, production-grade code that sets the example for readability, design patterns, reusability, and testing
• Own end-to-end systems across infrastructure, application, and data tiers — not just individual components
• Lead code reviews with a focus on raising team standards, not just catching bugs
• Continuously monitor performance metrics across owned systems and proactively drive improvements and refactors
• Contribute to a culture of documentation, knowledge sharing, and engineering rigor

Our Tech Stack

• Scala, Apache Spark, Python
• Airflow
• ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Kafka Connect
• Docker, Jenkins, Terraform, AWS

Technical Skills

• 8+ years of experience in the Data Engineering space, building and maintaining large-scale data pipelines
• Deep proficiency in Scala — our data platform is Scala-first and this is the primary language for this role
• Expert-level experience with Apache Spark and distributed data processing at scale
• Strong system design and architecture skills — you can reason about trade-offs, design for reliability, and communicate your decisions clearly
• Experience designing, building, and maintaining ETL pipelines and data infrastructure in production environments
• Comfort with high-throughput, high-volume systems (TB-scale data processing)
• Familiarity with strongly-typed and functional programming principles
• Track record of mentoring engineers and elevating team technical quality
• Proficiency with version control tools, particularly Git

Nice To Have

• Experience with a variety of data formats (structured/unstructured, flat files, XML, JSON, relational, Parquet)
• Experience in the cybersecurity domain or working on security-adjacent data products
• Prior experience in a Staff or Principal IC role with cross-team technical influence

Benefits

• The estimated total compensation range for this position is $140,000 - $160,000 CAD (base plus bonus).
• Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range.
• In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.