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

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