Full-Time

Senior Data Engineer

Nayya

Nayya

51-200 employees

Personalized employee benefits platform

Data & Analytics
AI & Machine Learning

$140,000 - $175,000

Stock Options

Senior

New York, NY, USA

Required Skills
Python
Airflow
Apache Spark
SQL
AWS
Data Analysis
Requirements
  • Strong Python experience.
  • Strong PySpark experience.
  • Experience with an orchestration tool like Airflow, Dagster, etc.
  • Strong SQL skills including query performance and optimization techniques including explain plans.
  • Experience building and maintaining APIs to serve data to internal stakeholders.
  • Familiarity with implementing and using Apache Spark, AWS Glue, and/or EMR.
  • Data pipeline development and maintenance experience.
  • Familiarity with batch processing pipelines.
  • Familiarity with data pipeline tuning and performance testing.
  • Familiarity with building data processing infrastructure from the ground up.
  • Familiarity with one or more RDBMS.
  • Ability to identify tradeoffs for warehousing vs data lake infrastructure and applying solutions to the appropriate use case.
  • Familiar with common pitfalls in high volume, partitioned data ingestion pipelines such as orphaned records and table locks
Responsibilities
  • Build and maintain our Interoperability API and claims file feed integrations.
  • Help design and implement new batch processing infrastructure.
  • Enhance our data enrichment service to interface with external/third party data sources.
  • Help design and implement a de-identified reporting and analytics platform.
  • Maintain and improve an existing Python tech stack with a focus on security and scalability for data storage and API endpoints.
  • Work with the internal stakeholders to build and maintain data and pipelines for various use cases.
  • Recommend monitoring and analytics tools to automate common data needs and visibility.

Nayya stands out as a leader in the benefits experience sector, leveraging machine learning and billions of data points to provide personalized decision support for employees, thereby optimizing health and financial benefits selection. The company's platform simplifies complex processes such as open enrollment, new employee onboarding, and qualifying life events, leading to significant cost and time savings for both employers and employees. Nayya's commitment to transparency and individualized support has proven effective in improving benefits communication and reducing HR workload, as evidenced by positive feedback from large-scale employers.

Company Stage

Series C

Total Funding

$111.4M

Headquarters

New York, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

14%

1 year growth

37%

2 year growth

24%