Senior Data Engineer Data & Analytics

Thank you for considering Progyny!

Data is the lifeblood of healthcare and Progyny as a company depends on the accurate timely and secure management of data to achieve our company mission at the highest level. This role will directly support all Machine Learning and AI based solutions at Progyny. This role will be directly responsible for supporting Progynys efforts to provide an enhanced member experience and better insights to our team leveraging best in class components for core data persistence streaming transformation and integrated analytics leveraging machine learning. As data systems are constantly evolving this role will also be expected to help challenge and mature the existing patterns practices and tool chains for the Data engineering discipline at Progyny; as such a successful candidates should be motivated by a desire to help optimize and shape their environment not simply follow the established status quo.

Success in this role is measured by the following:

• Development of data pipelines that meet or exceed our quality goals

• Ability to leverage your knowledge of various data patterns/frameworks/tools to help guide implementation to best possible solutions

• Staying curious and ensuring currency in a fast-evolving technology discipline while also supporting growth/maturity of your peers & stakeholders

• Working without a net: navigating past ambiguity through the application of your judgment and experience

• Ability to find pragmatic options to tactical vs. strategic implementation dilemmas

What youll do

• Working with machine learning and AI stakeholders to design and implement numerous data transformation pipelines with a focus on all functional/non-functional quality goals

• Design and implementation of test monitoring and observability strategies for data systems and processes

• Support for outage incident response and return-to-service activities for data systems in your purview

• Supporting evaluation of related tools frameworks and dev/test/deploy patterns as needed to evolve the platform capabilities for data support

About you

Must have:

• Strong communication skills

• Experience with well-known data pipeline/transform tools / platforms (DAG-based options like Airflow Dagster Prefect etc.)

• 7 years of consistent professional SQL development experience

• 5 years of Python development experience

• Experience with data access patterns (caching partitioning sharding)

• Familiarity with data modeling best practices / data structures/ data warehousing

Must have at least 2 of these:

• Experience with Machine Learning and AI training and inference pipeline development.

• Experience working on streaming/event pipelines using Kafka or similar technology.

• Working experience with the FHIR JSON-based storage models.

• Experience working with graph data models and databases.

Please note: Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship now or in the future.

About Progyny:

Progyny (Nasdaq: PGNY) is a global leader in womens health and family building solutions trusted by the nations leading employers health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive inclusive and intentionally designed solutions simultaneously benefit employers patients and physicians.

Our benefits solution empowers patients with concierge support coaching education and digital tools;provides access to a premier network of fertility and womens health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.

Our mission is toempower healthier supported journeys through transformative fertility family building and womens health benefits.

Headquartered in New York City Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company CNBC Disruptor 50 Modern Healthcares Best Places to Work in Healthcare Forbes Best Employers Financial Times Fastest Growing Companies Inc. 5000 Inc. Power Partners and Crains Fast 50 for NYC. For more information visit .

Our perks:

• Family friendly benefits: Paid family and parental leave preconception fertility and family building benefits (including egg freezing IVF and adoption support) family and pet care fund and Parents Employee Affiliation Group

• Menopause and midlife care

• Health dental vision and life insurance options for employees and family

• Free in-person virtual and text-based mental health and wellness support

• Paid time off including vacation sick leave personal days and summer flex time

• Company equity

• Bonus program

• 401(k) plan with company match

• Access to on-demand legal and financial advice

• Learning and development programs to help you grow professionally and a mentorship program

• Company social eventsto include annual volunteer day and donation matching

• Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office

In compliance with New York Citys Wage Transparency Law the annual salary wage range for NYC-based applicants is: $165000 - $185000. There are a variety of factors that go into determining a salary range including but not limited to external market benchmark data geographic location and years of experience sought/required. Progyny offers a total compensation package comprised of base salary cash bonus and equity.

Progyny is proud to be anEqual Opportunity and Affirmative Action respect and seek to empower each individual and support the diverse cultures perspectivesskillsand experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race creed color religion sex sexual orientation gender identity or expression national origin disability age genetic information marital status pregnancy or related condition status as a protected veteran criminal history consistent with legal requirements or any other basis protected by law.

If you are an individual with a disability and need assistance or an accommodation during the recruiting process please send an e-mail to .

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