Data Engineer

Tech9

6d•Remote

About The Position

We are seeking an experienced Senior Data Engineer to help design, build, and optimize scalable data platforms and pipelines. This role will partner closely with engineering, analytics, and business stakeholders to deliver reliable data solutions that support reporting, integrations, and operational needs.

Requirements

Bachelor's degree in Computer Science or related field.
3+ years of Python and Databricks Notebook experience.
2+ years of Azure Databricks experience.
5+ years of relational database (RDBMS) experience.
Experience building scalable ETL/ELT pipelines.
Strong problem-solving, communication, and collaboration skills.
Ability to manage multiple priorities and work independently.

Nice To Haves

Experience with Azure data services.
Experience with Oracle integrations.
Experience working in regulated or enterprise environments.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Python.
Build, test, and support integrations between Databricks, Oracle, and downstream systems.
Develop and maintain high-quality data extracts for internal and external stakeholders.
Own and document inbound and outbound data feeds.
Monitor data pipelines for performance, reliability, and quality; identify and resolve issues.
Design and optimize data models supporting operational, analytical, and financial reporting.
Contribute to continuous improvement of the data platform using industry best practices.
Partner with technical and business stakeholders to gather requirements and deliver solutions.
Support internal applications and ensure business continuity.
Collaborate effectively across engineering and cross-functional teams.