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# Data Engineer

- **Company:** Horizontal Talent
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $106,080.0 - $185,120.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Software Quality, Information Engineering, Extract Transform Load (ETL), Data Security, Programming Tools, Software Tools, Workflow Management Systems, Snowflake, AWS Data Analytics, Data Pipelines, Databricks
- **Published:** September 15, 2026
- **Apply:** https://www.jofdav.com/jobs/59708987-data-engineer

## About the Role

* 3-5 years of data engineering experience
 * Hands-on experience with Informatica workflow design and implementation
 * Strong knowledge of ETL development and data pipeline optimization
 * Experience working with AWS data engineering tools and services such as Glue, Lambda, EventBridge, Cradle, and S3
 * Ability to work effectively with technical and non-technical stakeholders
 * Strong problem-solving skills and a proactive, collaborative mindset

Preferred Skills

 * Previous experience with Informatica in a similar environment
 * Exposure to Databricks and Snowflake
 * Apache Airflow experience
 * Experience supporting AI-related data initiatives
 * Comfort working in a fast-paced, cross-functional environment

Horizontal is committed to fostering an inclusive workplace where different perspectives, backgrounds, and experiences are valued. We welcome candidates who are excited to contribute in an environment grounded in equity, respect, and belonging.

## Description

We're looking for a Data Engineer to help build and modernize data pipelines that support analytics, business operations, and AI-driven initiatives. This on-site opportunity in New York offers the chance to work across a range of business domains, partnering closely with stakeholders and technical teams to deliver reliable, scalable solutions on an AWS-based platform.
Responsibilities

 * Design, build, and support data pipelines and BI solutions that improve data access, freshness, and reliability
 * Develop and optimize ETL workflows to strengthen data quality and operational performance
 * Contribute to modernization efforts by migrating legacy processes to an AWS-based environment
 * Work closely with business partners to translate requirements into scalable data solutions
 * Collaborate with science and engineering teams to prepare data foundations for AI solutions and production use cases
 * Support operational excellence through monitoring, automation, and issue reduction
 * Use modern development tools and approaches to improve productivity and code quality


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