Data Engineering Manager Jobs in New York
Data Engineering Manager jobs in New York are among the most actively recruited in the country, concentrated in financial services, media and entertainment, healthcare systems, and technology, with openings from team lead through senior director. The heaviest hiring is in New York City, with meaningful demand in Albany and Buffalo as well, where employers like JPMorgan Chase, Pfizer, and Bloomberg have sustained data engineering teams. Cloud platform architecture, real-time pipeline development, and ML infrastructure management are the specialties New York employers ask for most consistently. Find a role that fits below and apply directly.
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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.
If this sounds like you, you’ll fit right in.
Department
Technology, Data & Analytics
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 are an experienced data engineer who has moved into leadership — with deep technical roots and a track record of shipping reliable, scalable pipelines and infrastructure. You are equally comfortable reviewing a pull request, unblocking a delivery problem, and developing the engineers on your team. You take ownership seriously — of the team's output, the platform's health, and the standards that keep both running well.
As Manager, Data Engineering, you will lead a team of engineers delivering against the data platform roadmap. You will own execution and delivery quality, keep your team productive and growing, and partner closely with analytics engineering, data science, and business stakeholders to ensure the platform delivers what downstream teams need.
Your Success Profile
What You Will Work On
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
How You Will Do Your Work
As a 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.
- 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
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.
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.
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.
See All 91 Data Engineering Manager Jobs in New York
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Find Data Engineering Manager JobsData Engineering Manager Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Engineering Manager Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- EY10

- Amazon8

- Bloomberg5

- Spotify5

- Affirm3

Top Industries Hiring
- Technology & Software33
- Accounting & Auditing11
- Banking & Financial Services7
- Music7
- Marketing & Advertising5
What New York Employers Look For
The qualifications that appear most often in data engineering manager jobs across New York.
- Bachelor's or master's degree in computer science, data engineering, or a closely related field
- Five or more years of hands-on data engineering experience including people management
- Proven experience designing and scaling distributed data pipelines in cloud environments
- Proficiency with tools such as Apache Spark, Kafka, dbt, Airflow, and modern warehouse platforms
- Strong SQL skills and experience across at least one major cloud provider such as AWS, GCP, or Azure
- Experience partnering with data science, analytics, or product teams on cross-functional New York-based initiatives
Data Engineering Manager Jobs in New York: Frequently Asked Questions
How do you become a data engineering manager in New York?
The path into a data engineering manager role in New York typically starts with several years as a senior data engineer, followed by a step into a tech lead or principal engineer position that includes mentoring responsibilities. New York employers, particularly in finance and healthcare, value demonstrated experience with large-scale pipeline architecture alongside direct team oversight. No state-issued license or registration applies to this role. A master's degree in computer science or data science strengthens candidacy at larger New York institutions.
Which companies hire data engineering managers in New York?
Employers hiring data engineering managers in New York right now include EY, Amazon, and Bloomberg, based on current listings on Migrate Mate as of June 2026. New York's concentration of financial institutions, major media companies, and large healthcare networks means sustained, recurring demand for experienced data engineering managers rather than purely project-driven hiring.
Which New York cities have the most data engineering manager jobs?
New York, Boston, and Brooklyn have the most data engineering manager openings in New York. New York City drives the majority of listings because of its density of financial services firms, advertising technology companies, and major healthcare systems, while Albany and Buffalo contribute openings tied to state government data initiatives, regional insurance carriers, and growing technology campuses anchored by large institutional employers.
Are there remote data engineering manager jobs in New York?
Yes, and more than most fields. About 49% of data engineering manager openings tied to New York are remote or hybrid as of June 2026, reflecting the fundamentally desk-based and collaborative-tool-driven nature of the work. The parts of the role most likely to stay fully remote are pipeline design, code review, and cross-team data strategy work, while on-site presence is more common when the manager owns a large local team or works with regulated data in financial or healthcare settings.
How can I get hired as a data engineering manager in New York with little or no experience?
The most realistic entry point is a senior individual contributor role that includes informal team leadership, such as a staff or principal data engineer position at a New York-based financial firm, media company, or health system. Large New York employers including those in the banking and insurance sectors often promote from within, so joining as a senior engineer and raising your hand for mentoring or project leadership is a practical ladder. Building a portfolio of end-to-end pipeline projects and contributing to open-source data tooling strengthens a case for promotion faster than credentials alone.
Where can I find and apply to data engineering manager jobs in New York?
You can find and apply to data engineering manager jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, identify the ones that match your experience and the industries you want to work in, and apply directly to the positions that fit.
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