Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
Develop canonical datasets to track key product insights including security outcomes, engagement and usage, and performance.
Work directly with internal and external customers to deeply understand their workflows and translate them into intuitive, powerful product experiences.
Work collaboratively with cross-functional partners, including Infrastructure, Data Science, Product, Marketing, Go-To-Market, and Research to solve problems and enable product success.
Implement robust and fault-tolerant systems for data ingestion and processing.
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
Ensure the security, integrity, and compliance of data according to industry and company standards.
Help shape the engineering culture, architecture, and processes of a new business unit with a critical mission.

Requirements

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Familiarity with public cloud environments (Azure or AWS) and infrastructure tooling (Kubernetes, Terraform, etc.).
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
Solid understanding of Spark and ability to write, debug and optimize Spark code.
Ability to thrive in a fast-paced environment where problems may be ambiguous, emerging, or rapidly evolving.

Benefits

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringPythonScalaJavaHadoopFlinkHDFSS3SparkETL

Soft skills

collaborationproblem-solvingcommunicationadaptabilitycustomer understandingengineering culture shapingworkflow translationcross-functional teamworkfast-paced environmentcritical thinking