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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Allara is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women.
The Opportunity
Allara is hiring its first Director of Data to build the backbone of how the company collects, models, governs, and uses data. Reporting to the VP of Engineering, this is a hands-on leadership role: in your first months you will be in the pipelines yourself, cleaning up our ETL, consolidating duplicated logic, and closing gaps in our source data. Over time you will define and drive the company's longer-term data strategy, set the standards the rest of the organization builds on, and grow the data function as Allara scales. This is a player-coach role, senior enough to own strategy and still happy to get the pipelines right yourself, and the hands-on work comes first.
Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed.
Your Impact
Make Allara's data trustworthy, so every team can make decisions on numbers they believe.
Turn a fragmented, duplicated data setup into one reliable source of truth with traceable lineage.
Define the data strategy that lets Allara scale its use of data, from AI-assisted analysis across departments and leveraging health data to drive better outcomes.
Build and lead the data engineering function over time.
Partner with Product, Growth, Finance, Strategy, and Clinical as the owner of the shared data platform and standards.
Responsibilities
First 6 to 12 months (hands-on)
Clean up the pipelines. Audit our existing ETL across Fivetran and Mozart into Snowflake, stabilize reliability and freshness, and fix the brittle parts the business has learned to work around.
Consolidate duplication. Collapse duplicated models, metrics, and transformation logic into a single, well-documented modeling layer, so there is one definition of each number rather than several that disagree.
Close source-data gaps. Map what we collect against what the business needs and close the gaps across our systems.
Make the data trustworthy. Stand up data-quality testing, monitoring, and alerting.
Establish one source of truth. Define a canonical metric and semantic layer
Ongoing (strategy and ownership)
Own the data strategy. Shape how Allara collects, models, governs, and uses data as the company scales, and advises leadership on tooling, investments, and build-versus-buy decisions.
Own governance and compliance. Own data governance, access control, and PHI and PII handling appropriate for a HIPAA-covered healthcare environment.
Own the shared platform. Serve departmental stakeholders and data analysts, as the owner of the platform and standards they build on, and enable trustworthy self-serve analytics.
Own AI-ready data. Own the shared, AI-ready data layer and the canonical terminology definitions and skills that power AI-assisted analysis across departments.
Build the team. Hire, mentor, and lead the data engineering function over time, setting the technical bar and the practices the team works by.
Required Qualifications
8+ years in data engineering or analytics engineering, including direct, recent ownership of production ETL and warehouse modeling.
Strong SQL and a cloud warehouse (Snowflake preferred), ETL tooling, and a transformation and modeling layer.
A proven track record of taking over brittle, duplicated, or undocumented pipelines and turning them into reliable, documented, trusted data.
Strong data modeling fundamentals and a real bias toward a single source of truth.
Experience designing data governance and handling sensitive data, with comfort around security and access control in a regulated environment.
Preferred Qualifications
Healthcare or HIPAA experience, including familiarity with EMR data (FHIR) and claims.
Experience with D2C growth metrics
Experience with Amplitude and product event taxonomy, and enabling AI or LLM-assisted analytics such as semantic layers, metric catalogs, or Claude skills.
Experience building and managing a data team at a high-growth startup (Series B to D).
Having these would be advantageous over candidates lacking these qualifications and would potentially allow the candidate to have a greater and/or more immediate impact on the role.
What Allara Offers
Compensation & Career Growth
$220,000-$250,000 with opportunities for advancement
Equity
Professional development & employee learning programs
Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks.
Work Environment & Flexibility
100% remote within the U.S./or 3-day hybrid in NYC
Unlimited PTO & 11 company holidays/ or L1 offerings
Health & Wellness
Medical, dental, and vision benefits
Health Savings Account (HSA) & Flexible Spending Account (FSA)
Long- and short-term disability coverage
Annual employee wellness stipend
Family & Future Planning
401(k) plan
Parental leave & family planning support benefits
Additional Perks
Company-issued laptop
Annual work-from-home stipend
Commuter benefits (if applicable)
A collaborative, mission-driven culture focused on improving patient care
At Allara, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.
Compensation Range: $220K - $250K
See All 46 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



Top Industries Hiring
- Technology & Software
- Retail
- Insurance
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
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 Amazon, BNY, and Moody's, based on current listings on Migrate Mate as of November 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, Queens, and Albany 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 96% of data engineering manager openings tied to New York are remote or hybrid as of November 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.
See All 46 Data Engineering Manager Jobs in New York
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