Manager, Data Engineering
205k – 262kNew York, NYHybrid7+ YOE
Summary
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.
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)
Technologies Used
- Languages: Python, SQL, Terraform
- Data & Analytics: Snowflake, dbt, Fivetran
- Streaming & CDC: Estuary
- Workflow Orchestration: Airflow, MWAA
- Cloud: AWS (S3, Lambda, Fargate, Redshift, Kinesis, Step Functions, EventBridge)
- Observability & Monitoring: Datadog
- CI/CD: CircleCI, GitHub Actions
Compensation
- The base wage range for this position based in our New York City Office is targeted at $205,000.00 - $261,500.00 per year.
Skills
PythonSQLSnowflakeAWSTerraformAirflowdbtRedshiftDatadogCircleCI
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