We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.

You will be part of a dedicated team creating datasets for financial and analytic workloads.
 

Key Responsibilities:

• Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.

• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.

• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.

• Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.

• Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models.

• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.

• Design and architect data infrastructure analytical workloads.

Required Qualifications

• 5+ years of applicable work experience

• Proficiency in Python, specifically with ETL pipelines.

• Strong proficiency in SQL and experience in developing complex queries.

• Familiarity with pySpark, DBT, or other similar frameworks.

• Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP).

• Understanding of data warehousing concepts, dimensional modeling, and building data marts.

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Preferred Qualifications

• Knowledge of data governance best practices in a cloud environment.

• Experience with data design in BigQuery

• Experience working with the Epic data model.

• Experience working with healthcare data (Claims and Admissions)

Education and Experience

• Bachelor's degree preferred/specialized training/relevant professional qualification. Computer Science or Equivalent Years of Relevant Experience