Stellenbeschreibung:

This position is posted by Jobgether on behalf of Progyny, Inc. We are currently looking for a Senior Data Engineer - Data & Analytics in United States.

As a Senior Data Engineer, you will play a central role in building and optimizing data systems that power advanced machine learning and AI solutions. This position is focused on designing and maintaining scalable pipelines to deliver timely, accurate, and secure data for analytics and product innovation. You will collaborate closely with data science, engineering, and business teams to enhance member experiences and provide actionable insights. The role requires not only technical expertise but also the curiosity and adaptability to thrive in a fast-evolving technology landscape. Success will be measured by your ability to innovate, solve complex problems, and drive best practices within the data engineering discipline.

Accountabilities

• Design, implement, and optimize data transformation pipelines supporting AI and machine learning initiatives.
• Ensure data systems meet high standards of quality, reliability, and performance.
• Develop monitoring, testing, and observability strategies for pipelines and processes.
• Support incident response and resolution efforts for data-related outages.
• Evaluate and recommend tools, frameworks, and deployment patterns to evolve data platform capabilities.
• Mentor peers and contribute to the maturity and scalability of engineering practices.

Requirements

• Strong communication skills with the ability to work across technical and non-technical teams.
• 7+ years of professional SQL development and 5+ years of Python development experience.
• Proficiency with DAG-based pipeline orchestration tools (e.g., Airflow, Dagster, Prefect).
• Knowledge of data access patterns such as caching, partitioning, and sharding.
• Experience with data modeling, data structures, and data warehousing best practices.
• At least two of the following:
• Experience with ML/AI training and inference pipelines.
• Experience with streaming/event pipelines using Kafka or similar.
• Familiarity with FHIR JSON-based storage models.
• Experience with graph data models and databases.
• Candidates must be authorized to work in the United States without the need for sponsorship.

Benefits

• Competitive salary range of $165,000 – $185,000 (for NYC-based applicants), plus bonus and equity programs.
• Comprehensive health, dental, vision, and life insurance coverage for employees and families.
• Family-friendly benefits including paid parental leave, fertility and family building support, adoption assistance, and family/pet care funds.
• Menopause and midlife care programs.
• Generous paid time off including vacation, sick leave, personal days, and summer flex time.
• 401(k) plan with company match.
• Free access to mental health, wellness, legal, and financial support services.
• Professional development programs, mentorship opportunities, and learning resources.
• Company equity and bonus eligibility.
• Flexible work arrangements with hybrid options (3 days/week in office) and onsite meals for NY office employees.
• Social events, volunteer opportunities, and donation matching.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung