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Senior Software Engineer, Data Engineering
Senior Software Engineer, Data EngineeringPROGYNY • New York, NY, United States
Senior Software Engineer, Data Engineering

Senior Software Engineer, Data Engineering

PROGYNY • New York, NY, United States
Hace 28 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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 Progyny's efforts to provide an enhanced member experience and better insights to our team leveraging best in class components for core data persistence, streaming, and integrated analytics leveraging machine learning. As both data and AI systems are constantly evolving, this role will also be expected to help challenge and mature the existing patterns, practices and tool chains for the 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 :

Bring a solid basis of experience in building modern software products and enjoy working together with a team of engineers to bring AI / ML solutions to production in a rapid, but cost-efficient manner

Development of code and data pipelines that meet or exceed our quality goals

Ability to leverage your knowledge of various software development practices 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 you'll do...

Working with machine learning and AI stakeholders to design and implement supporting code following best practices

Design and implementation of test, monitoring, and observability strategies for data and AI / ML systems and processes

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

Supporting evaluation of related tools, frameworks and dev / test / deploy patterns as needed to evolve the platform capabilities

Collaborate and implement rapid prototypes for proof-of-concept explorations

Work with cross-functional team to deliver solutions within the machine-learning initiatives

Provide feedback to fellow engineers during code reviews, brainstorming sessions, and technical discovery work

About you...

Strong communication skills, and team oriented attitude

Bachelor's Degree in Computer Science, Engineering or related field, or equivalent experience.

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

7+ years of consistent, professional software development experience

5+ years of Python development experience, including experience with frameworks, libraries, and core programming concepts such as OOP, SOLID, dependency injection, unit testing, optimization, etc.

Experience in API development and delivery

Familiar with and experienced in numerous data storage systems like : RDBMS, NoSQL, S3, Document, GraphDB, Key / Value stores - the more the merrier

Experience with data access patterns (caching, partitioning, sharding), data structures & data modeling best practices

Experience with HIPAA security guidelines & compliance is a plus

Must have at least 2 of the following :

Experience with Machine Learning and AI training and inference pipeline development

Detailed working knowledge of Docker and AWS services or similar cloud services

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

Working experience with the FHIR JSON-based storage models

Please note : This is not a digital nomad or remote international position; candidates must be based in the United States. 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 women's health and family building solutions, trusted by the nation's 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 women's 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 women's 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 Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com .

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 City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is : $165,000 - $185,000. 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 employer.We respect and seek to empower each individual and support the diverse cultures, perspectives,skillsand 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 apply@progyny.com .

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