Senior Data Engineer
Job Location:
New York City, NY - USA
Monthly Salary:
Not provided by the employer
Posted:
3 June 2026 (30+ days ago)
Application Deadline:
31 August 2026
Vacancies:
1 Vacancy
Job Summary
Job Description:
- Senior Data Engineer Position Summary: The Senior Data Engineer leads complex data engineering projects working on designing data architectures that align with business requirements.
- This role focuses on optimizing data workflows managing data pipelines and ensuring the smooth operation of data systems.
- Minimum Qualifications: 8 Years overall IT experience with minimum 5 years of work experience in below tech skills.
- Tech Skills: Strong experience in Python Scripting and PySpark for data processing.
- Proficiency in SQL dealing with big data processing.
- Proven experience in data processing for data lake in Iceberg format with strong understanding of architecture.
- Experience in AWS Glue jobs.
- Experience in AWS cloud platform and its data services (S3 Redshift Lambda EMR Airflow Postgres SNS Event bridge).
- Expertise in BASH/Shell scripting.
- Strong understanding of healthcare Finance systems and experience leading data engineering teams.
- Experience in Agile environments.
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration skills.
- Responsibilities: Leads development of data pipelines and architectures that handle large-scale data sets.
- Designs constructs and tests data architecture aligned with business requirements.
- Provides technical leadership for data projects ensuring best practices and high-quality data solutions.
- Collaborates with product finance and other business units to ensure data pipelines meet business requirements.
- Oversees development of data solutions that enable predictive and prescriptive analytics.
- Ensures the technical quality of solutions managing data as it moves across environments.
- Aligns data architecture to Healthfirst solution architecture.