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# Data Engineer Consultant

- **Company:** ESCALON SERVICES INC.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Information Systems, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Middleware, PostgreSQL, Unstructured Data, Snowflake, HR Software, Information Technology, Data Delivery, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2a224051b9540d8d

## About the Role

* 5+ years of relative experience in data engineering roles.
 * Bachelor's degree in computer science, information systems, engineering, mathematics, or a related field.
 * Experience with Snowflake, Postgres, APIs, Middleware
 * A background working with financial data & HRIS systems

Nice to Haves:

 * Experience within Financial Services industry.

## Description

As the Data Engineer you will help design, develop, and maintain our data pipelines, databases, and analytical systems. This role collaborates with cross-functional teams to gather requirements, implement data solutions, and ensure the reliability and efficiency of our data infrastructure. A successful Data Engineer will bring a high level of experience implementing scalable data pipelines for ingesting, transforming, and storing large volumes of structured and unstructured data. This position reports to the VP of Global Engineering.
Day-to-Day Responsibilities also include:

 * Build and maintain data warehouses, data pipelines, and other storage solutions to support business intelligence, reporting, and analytics needs.
 * Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse.
 * Collaborate to understand data requirements and implement solutions for data modeling, analysis, and visualization.
 * Monitor data pipelines and systems performance, troubleshoot issues, and implement optimizations to improve reliability, scalability, and efficiency.
 * Support leadership in identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
 * Stay up to date with emerging technologies and industry trends in data engineering and contribute ideas for continuous improvement of data infrastructure and processes.