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Justworks

Senior Manager, Data Engineering

Justworks is hiring a Senior Manager, Data Engineering in New York, United States. It pays $240k-$310k a year and Level rates it ; you can apply on Justworks.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • The listed pay starts 60% above the typical data engineer posting on Level.
  • Tools and skills the posting cites include data engineering, data platforms and infrastructure.
  • Level classifies it as a senior role.
  • Level lists 90 other open roles at Justworks.

AI in this role

Senior manager of data engineering overseeing pipelines, platform infrastructure, and modern data platforms.

data-engineeringdata-platformsinfrastructureteam-leadershiporchestration
Who We Are

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.

We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.

We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.

Our Values

If this sounds like you, you’ll fit right in.

Department

Technology, Data & AI

About The Team

The Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on.

Who You Are

You're a hands-on engineering leader with deep experience building and operating modern data platforms. You've led teams through scale — evolving architecture, improving reliability, and making hard tradeoffs between speed, cost, and quality. You're as comfortable reviewing a PR or debugging a pipeline failure as you are setting quarterly roadmap priorities or presenting a platform strategy to senior leadership.

You think in systems - how pipelines, orchestration, governance, and observability connect to produce a trustworthy platform - and you know how to build a team that operates with both craft and urgency. You develop engineers, set a high technical bar, and create an environment where people grow.

You bring strong opinions grounded in experience with modern PaaS data stack technologies - Snowflake, Fivetran, Airflow, dbt, Estuary - and you've seen what works and what doesn't at scale. Snowflake is core to how we operate and you should have depth there.

Reporting to the VP of Data & Analytics, you'll lead the data platform organization, setting technical direction, driving operational excellence, and ensuring the platform is reliable, scalable, and built to support the company's growth.

Your Success Profile

What You Will Work On

Platform Leadership & Technical Direction

  • Own the technical direction of Justworks' core data platform — pipelines, infrastructure, orchestration, and the standards that keep it trustworthy
  • Lead architectural decisions on cloud data infrastructure, balancing scalability, cost, reliability, and security
  • Drive operational excellence across the platform — observability, data quality, cost optimization, incident management, and SLAs
  • Set and enforce engineering standards — testing, documentation, CI/CD, and code review best practices
  • Maintain and evolve infrastructure as code, ensuring the platform is auditable, repeatable, and resilient

Team Leadership & Development

  • Lead and develop a team of data engineers, including direct line managers and individual contributors at various levels
  • Set a high bar for engineering craft — mentor engineers, conduct architecture reviews, and foster a culture of continuous improvement
  • Recruit and hire high-caliber data engineers as the platform team grows
  • Create an environment where engineers develop their skills, take ownership, and do the best work of their careers

Cross-Functional Partnership & Delivery

  • Partner with DNA functional teams (e.g. Analytics Engineering, BI, Data Science) and distributed Data Engineering teams to ensure the platform serves the full breadth of org needs
  • Collaborate with other engineering teams to align on data contracts, security, compliance, and shared infrastructure
  • Drive planning processes that connect platform priorities to DNA's overall strategy and enterprise OKRs

How You Will Do Your Work

As a Sr. Manager, Data Platform Engineering,, how results are achieved is paramount for your success and ultimately results in our success as an organization. In this role, your foundational knowledge, skills, abilities, and personal attributes are anchored in the following competencies:

  • Plans & Aligns - Ensures individual actions support company mission; communicates effectively; understands urgency and plans accordingly
  • Balances Stakeholders - Understands internal and external stakeholder requirements, expectations, and needs and acts fairly despite conflicting demands of stakeholders.
  • Influence and Leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking across the organization.
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
  • Good Judgment - Pauses before acting; asks questions to fully understand context; applies critical thinking and takes ownership of outcomes
  • Teamwork & Communication - Honors diverse thoughts and opinions; leverages unique skills to maximize efficiency
  • Skills and Knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

  • Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
  • Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
  • Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
  • Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
  • Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

You're a builder who applies systems thinking to internal infrastructure. You're comfortable working across a diverse data organization and partnering with leadership to turn fragmented ways of working into scalable, durable systems.

  • 10+ years of professional experience in data engineering, with at least 5 years working hands-on with modern PaaS data stack technologies (Snowflake, Fivetran, Airflow, dbt, Estuary, or equivalent)
  • Deep Snowflake expertise - schema design, query optimization, cost governance, data sharing, and performance tuning at scale
  • 5+ years of engineering management experience, including experience managing managers or leading a multi-team engineering organization
  • Strong architectural judgment - able to make sound decisions on pipeline design, infrastructure patterns, and platform evolution
  • Experience leading a distributed engineering team across multiple workstreams and delivery tracks
  • Deep proficiency in SQL and Python; recognized by peers for technical rigor
  • Strong expertise with AWS services (S3, Lambda, Fargate, Kinesis) and infrastructure-as-code (Terraform, CloudFormation)
  • Strong experience with data governance, security, and compliance in a production environment
  • Excellent communicator — able to engage technical and non-technical stakeholders, present platform strategy to senior leadership, and translate infrastructure investments into business terms
  • Comfortable navigating ambiguity and driving work forward in a fast-moving environment
  • Point of view on how AI is changing data platform engineering — both in how the team works and what the platform enables

Nice to have

  • Experience building data platforms that support ML/AI workloads (feature stores, model pipelines, vector stores)
  • Background in a regulated or compliance-sensitive environment (fintech, HR tech, healthcare)
  • Experience with streaming/CDC technologies (Estuary, Kafka, Debezium)
Technologies Used
  • Languages: Python, SQL, Terraform
  • Data & Analytics: Snowflake, dbt, Fivetran
  • Streaming & CDC: Estuary
  • Workflow Orchestration: Airflow, MWAA
  • Cloud: AWS (S3, Lambda, Fargate, Kinesis, Step Functions, EventBridge)
  • Observability & Monitoring: Datadog
  • CI/CD: GitHub Actions

The base wage range for this position based in our New York City Office is targeted at $240,000.00 - $310,000.00 per year.

#LI-DG2 #LI-Hybrid

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location.  Salary ranges for positions based in other locations may differ based on the cost of labor in that location. 

For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. 

Diversity At Justworks

Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.

We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience.

Our DEIB Report 

How we rate this

Senior Manager, Data Engineering at Justworks rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData PlatformsInfrastructureTeam LeadershipOrchestration

Also common in data engineer jobs at this level

Pay

This job starts at
$240k
Typical data engineer job
$150k

This posting starts 60% above the typical data engineer job. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data platforms was part of your work. What did you do?
  3. Tell me about a project where infrastructure was part of your work. What did you do?
  4. Tell me about a project where team leadership was part of your work. What did you do?
  5. Tell me about a project where orchestration was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Platforms, Infrastructure, Team Leadership, and Orchestration. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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