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# Associate, Data Engineering

- **Company:** Evergreen Inc
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Salary:** $65,000.0 - $75,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Cloud Computing, Code Review, Information Systems, Data Architecture, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Performance Tuning, Software Engineering, SQL Databases, Data Ingestion, Snowflake, Information Technology, Webhooks, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4162017af9339862

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
 * 0-2 years of experience in data engineering, software engineering, or a related technical field; internships and relevant coursework count.
 * Proficiency in SQL and Python.
 * Hands-on experience building or supporting ETL/ELT pipelines.
 * Experience working with data ingestion and integration methods, including APIs, S3, direct warehouse data shares, and webhooks.
 * Ability to work appropriately with sensitive and financial data under defined access controls.

Preferred:

 * Exposure to Snowflake or another cloud data warehouse.
 * Familiarity with AWS or other cloud infrastructure.

Core Competencies

 * Curiosity and a desire to understand how systems and processes work.
 * Sound judgment and a willingness to challenge the status quo when improvements are needed.
 * Strong collaboration and communication skills.
 * Attention to detail and a commitment to reliable, high-quality work.
 * Ability to learn quickly and take on increasing responsibility over time.

## Description

The Associate, Data Engineering supports the architecture, pipelines, and code behind Evergreen's enterprise data systems, including financial and media data. This junior, hands-on role builds and maintains the infrastructure that teams across the company rely on for reporting, integrations, and platform requests. The ideal candidate has practical ETL experience, is comfortable using SQL and Python, and is eager to build greater ownership of data architecture over time., * Support and maintain data pipelines for Evergreen's enterprise systems, including financial, media, and operational applications.

 * Build and maintain data ingestion pathways using APIs, S3, direct warehouse data shares, and webhooks.
 * Translate stakeholder integration requests into technical requirements and maintained data connections.
 * Develop and maintain ETL/ELT pipelines that deliver consumable data into Snowflake.
 * Write and test SQL and Python transformations, participate in code reviews, and follow documentation practices.
 * Troubleshoot pipeline failures, performance issues, and data quality concerns.
 * Support schema design, table maintenance, performance optimization, validation checks, and appropriate access controls.
 * Maintain documentation of data architecture, schemas, pipelines, and integration points.