Lead and mentor a team of data engineers building scalable data pipelines and platform infrastructure. Hands-on coding, operational excellence, and cross-functional collaboration with analytics, data science, and business teams.
205k – 262k
Hybrid7+ YOEData Engineering
About the role
Engineering & Delivery
Lead the design and delivery of scalable data pipelines that power analytics and business operations across Justworks
Take an active, hands-on role in coding, code review, and technical problem-solving alongside the team
Drive operational excellence within your team - observability, data quality, cost optimization, and delivery predictability
Maintain and evolve data infrastructure as code, ensuring the platform is auditable, repeatable, and resilient
Define and enforce engineering best practices — testing, documentation, CI/CD, and code review standards
People & Team Health
Manage, mentor, and develop a team of data engineers — setting goals, providing regular feedback, and building technical craft
Create an environment where engineers ship consistently, grow their skills, and take ownership of outcomes
Recruit and hire high-caliber data engineers as the team grows
Cross-Functional Partnership
Partner with analytics engineering, data science, BI, and business stakeholders to understand requirements and translate them into platform delivery
Collaborate with other engineering teams to align on data contracts, security, and compliance standards
Communicate delivery status, tradeoffs, and dependencies clearly to your Sr. Manager and cross-functional partners
Qualifications
7+ years of professional hands-on experience in data engineering, with a focus on building data pipelines and platform infrastructure
1+ years of people management experience, with a track record of developing engineers and building high-performing teams
Deep proficiency in SQL and Python; recognized by peers for technical rigor and sound engineering judgment
Strong experience with Snowflake - schema design, query optimization, cost governance, and data sharing
Strong foundational knowledge in data warehousing, ETL/ELT pipelines, and cloud data platforms
Experience with workflow orchestration, monitoring, and testing using tools such as Airflow, dbt, or equivalent
Expertise with AWS services (S3, Lambda, Fargate, Redshift, Kinesis, etc.) and infrastructure-as-code (Terraform, CloudFormation)
Strong experience with data security, compliance, and governance in a production environment
Comfortable with ambiguity — able to identify what needs to be done, set clear milestones, and drive work forward
Strong communicator with the ability to engage technical and non-technical stakeholders effectively
Nice to Have
Familiarity with data lakehouse patterns and cost optimization strategies at scale
Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare)
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