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Senior Data Engineer

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 be directly responsible for implementing the data foundation for a modern, event-driven platform 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 toolchains 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 you’ll do…

  • Working with technology 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…

  • 5+ years of relevant experience building and maintaining production ETL pipelines and demonstrated understanding of different loading patterns and practices, with an ability to discuss tradeoffs between them 

  • Bachelor’s degree in Computer Science, Information Systems, or similar field of study  

  • 5+ years of consistent, professional SQL development experience 

  • 2+ years of Python development experience with focus on Data frame manipulation (preferably with Pandas or Polars) 

  • 3+  years of experience with well-known data pipeline/transform tools / platforms (DAG-based options like Dagster, Airflow, Prefect, etc.) 

  • Experience with data transformation models (ex: DBT) 

  • Experience with data access patterns (caching, partitioning, sharding) 

  • Familiarity with data modelling best practices / data structures 

  • Experience with data access optimization (ex: indexing) 

  • Working experience with data serialization models like Apache Arrow desirable 

  • Working experience with JSON-based storage models (example: FHIR) desired 

  • Strong communication skills  

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 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 to empower 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 events to 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: $175,000 - $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 an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and 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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Average salary estimate

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$175000K
$185000K

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What You Should Know About Senior Data Engineer, Progyny

At Progyny, we're passionate about harnessing the power of data in healthcare, and as a Senior Data Engineer, you will be at the forefront of that mission! This remote position is a fantastic opportunity to put your skills to work by building the backbone of our innovative event-driven platform. You’ll dive deep into creating data pipelines that reflect the highest quality standards while fostering collaboration with tech stakeholders. Your expertise will help us challenge existing processes and introduce modern solutions, ultimately improving the landscape of fertility and women's health. Here, your experience with ETL pipelines, SQL, and Python will be key, as well as your ability to navigate the complexities of data access patterns and transformation tools. We're looking for a candidate who thrives on innovation, eager to shape the future of data engineering at Progyny, supporting both your growth and that of your team. Join us and play a vital part in a company that empowers healthier journeys in family building and women’s health!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Progyny
What are the main responsibilities of a Senior Data Engineer at Progyny?

As a Senior Data Engineer at Progyny, your primary responsibilities include designing and implementing data transformation pipelines that ensure high functional and non-functional quality goals. You will be expected to support outage incident response, develop monitoring strategies for data systems, and work collaboratively with technology stakeholders. Your role will also involve evaluating and integrating tools and frameworks to enhance the platform capabilities tailored to data support.

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What qualifications are required for the Senior Data Engineer position at Progyny?

To qualify for the Senior Data Engineer position at Progyny, candidates should have at least 5 years of relevant experience building and maintaining ETL pipelines. A Bachelor’s degree in Computer Science, Information Systems or a similar field is necessary. Additionally, proficiency in SQL and Python, experience with data pipeline tools like Airflow or Prefect, and knowledge of data modeling and optimization methods are essential to succeed in this role.

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What tools and technologies should a Senior Data Engineer at Progyny be familiar with?

A Senior Data Engineer at Progyny should be well-versed in a range of tools and technologies, including SQL for database management, Python for data manipulation, and ETL tools such as Airflow, Dagster, or Prefect. Familiarity with data transformation frameworks like DBT, caching strategies, and data serialization models like Apache Arrow is also crucial. Knowledge of JSON-based storage models will enhance your effectiveness in this role.

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How does Progyny support the growth and development of its Senior Data Engineers?

Progyny is committed to the professional growth of its team members, including Senior Data Engineers. We offer robust learning and development programs, including mentorship opportunities to ensure that your skills stay current in the rapidly evolving tech world. Furthermore, we host company social events that promote team bonding and collaboration, which enhances both personal and professional growth.

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What is the work culture like for Senior Data Engineers at Progyny?

The work culture at Progyny for Senior Data Engineers is built on collaboration and innovation. You will be encouraged to think critically, challenge the status quo, and propose solutions that improve data processes. With a focus on flexibility, we promote a balanced work-life environment, offering remote working arrangements and supportive family policies, making it an exceptional place to grow your career.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with ETL pipeline development?

When answering this question, be sure to highlight specific projects where you designed and built ETL pipelines. Discuss the technologies you used, any challenges faced, and how you ensured data quality during the process. Providing measurable results, such as reduced processing time or improved data accuracy, can significantly strengthen your response.

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What strategies do you utilize for data transformation and manipulation?

In your answer, outline the methodologies and tools you prefer for data transformation. Discuss your experience with frameworks such as DBT and any programming skills you have in Python, specifically mentioning libraries like Pandas or Polars. Feel free to include specific examples where you've applied these strategies effectively.

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How do you handle data quality and testing in your projects?

For this question, emphasize the importance of implementing comprehensive testing and monitoring strategies. Discuss the various testing techniques you employ, such as unit tests or data validation checks, and how these contribute to maintaining data integrity throughout the pipeline.

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Describe a challenging data engineering problem you've encountered and how you resolved it.

Provide a clear example of a complex problem related to data transformation or system integration. Detail the steps you took to identify the issue, the reasoning behind your approach, and how your solution benefited the project overall. Approach this as a storytelling opportunity that showcases your problem-solving skills.

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How do you keep up with the latest trends in data engineering?

In your response, illustrate your commitment to professional development by mentioning resources you rely on. This can include online courses, industry conferences, or specific publications. Share any relevant experiences that show how you have applied new knowledge or technologies in your work.

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What experience do you have with data modeling best practices?

When tackling this question, discuss your familiarity with data modeling concepts and practices, including how you align them with relational and non-relational databases. Describe how you have implemented these best practices in real-world scenarios to optimize data access and improve performance.

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Can you give an example of a time you had to navigate ambiguity in a project?

Illustrate your approach to handling ambiguity by discussing a specific project where requirements were unclear. Share the strategies you employed to gain clarity, how you made decisions amidst uncertainty, and the positive outcomes that resulted from your efforts.

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What role does collaboration play in your daily work as a Senior Data Engineer?

Highlight how collaboration with various stakeholders is integral to the success of data engineering initiatives. Provide examples of how you foster teamwork, whether through code reviews, sharing insights from solutions you implemented, or participating in cross-functional meetings.

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How do you approach performance optimization in data pipelines?

Discuss the techniques you utilize for optimizing performance, such as indexing, caching, or partitioning strategies. Include examples where you successfully improved pipeline performance while maintaining data quality and reliability.

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What are the most critical KPIs you track for data projects?

Be ready to talk about the key performance indicators you consider essential for monitoring the success of data initiatives. This could include metrics like data latency, error rates, data quality scores, and how these KPIs inform your ongoing project adjustments and decisions.

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Progyny (Nasdaq: PGNY) is a transformative fertility, family building and women's health benefits solution, trusted by the nation's leading employers, health plans and benefit purchasers. We envision a world where everyone can realize their dreams...

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Full-time, remote
DATE POSTED
April 10, 2025

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