Senior Data Engineer, Progyny
Data Engineering
$165-185k
Plus equity and bonus program. The salary range shown is for applicants in NYC
More information about location
Fertility benefits management company
Be an early applicant
Fertility benefits management company
501-1000 employees
Be an early applicant
$165-185k
Plus equity and bonus program. The salary range shown is for applicants in NYC
More information about location
501-1000 employees
Company mission
To empower healthier, supported journeys through transformative fertility, family building and women’s health benefits.
Role
Who you are
- 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
What the job involves
- 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
Our take
Progyny stands at the forefront of fertility benefits management in the United States, reshaping the landscape of fertility and family-building benefits through its holistic approach that caters to employers, patients, and physicians alike. As the demand for fertility benefits surges amidst a competitive labor market, Progyny has experienced remarkable growth, boasting a client base exceeding 370 across 40 industries.
In a testament to its commitment to comprehensive care, Progyny has recently expanded its provider network to encompass reproductive urologists (RU), recognizing the significance of male-factor infertility which accounts for approximately one-third of infertility cases. This expansion extends coverage and accessibility to millions, underscoring Progyny's dedication to addressing diverse fertility needs.
Through its strategic expansions and unwavering dedication, Progyny continues to pioneer advancements in fertility and family-building benefits. by fostering inclusivity and providing unparalleled support, Progyny remains at the forefront of revolutionizing reproductive healthcare, shaping a brighter future for individuals and families alike.
Steph
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Nov 2017
$5m
EARLY VC
May 2017
$10m
SERIES B
Total funding: $98.3m
Company benefits
- Family friendly benefits: Paid family and parental leave-, fertility and family building benefits (including egg freezing, IVF, and adoption support), family care fund and Parents’ Employee Resource Group
- 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
- Company social events
- Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office
Company HQ
Garment District, New York, NY
Leadership
Pete Anevski
(CEO, not founder)Held several other executive positions at the company, such as COO & CFO, before becoming CEO in 2022. Former Executive VP & CFO of WebMD.
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