Senior Data Engineer

Posted 2024-10-21

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 120000 - 160000 USD per year

🔍 Industry: Healthcare

🏢 Company: Datavant

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLAgileETL

Requirements:

Bachelor's degree in Computer Science or other engineering degree equivalent.
5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform.
5+ years of experience with relational DBMS, SQL Server/T-SQL, stored procedures, and functions, including experience optimizing database performance.
5+ years of experience with Python.
Experience with using AWS.

Responsibilities:

Create and maintain ELT/ETL processes for existing and new systems.
Collaborate with development and business teams to understand requirements and define source system data flows.
Develop and maintain ETL/ETL specifications for data integration development.
Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines, and techniques.
Document, implement and maintain the data pipeline architecture and related business processes.
Serve as a source of knowledge of industry practices and processes.
Participate in the development of enterprise standards and guidelines for data model quality and accuracy.
Audit project level data model quality deliverables to ensure that practices and standards are met.
Analyze information and data requirements and understand effects of data inconsistencies.
Identify inefficiencies in current architecture and processes and communicate solutions.
Perform cost and sizing estimates for projects.
Collaborate with the project coordinator and agile team to identify epics, stories, and estimate effort.
Create and maintain data dictionary documents, table and data lineage models, and produce artifacts to support project development.

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Senior Data Engineer

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