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# Database Engineer I

- **Company:** Paychex Inc.
- **Location:** Webster, NY, United States
- **Experience:** Experienced
- **Salary:** $76,700.0 - $120,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Computer Programming, Databases, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Programming Tools, Github, Python (Programming Language), PostgreSQL, Microsoft Visual Studio, Microsoft SQL Server, MongoDB, OpenFlow, Oracle (Applications), Scrum Methodology, Data Streaming, GitHub Copilot, Snowflake, Information Technology, Apache Kafka, Data Lakehouse, Data Pipelines, Databricks
- **Published:** June 16, 2026
- **Apply:** https://www.juju.com/job/00000000g8oi79

## About the Role

+ Bachelor's degree in Computer Science, Information Technology, or a related field.

 + 2-5 years of experience in data engineering, database administration, or related work.

 + Hands-on experience or familiarity with the tools and technologies listed in the responsibilities.

 + Strong analytical skills, with a problem-solving mindset.

 + Effective communication and teamwork abilities.

 + Experience with Agile development practices, particularly Scrum.

 + Experience with Development tools such as Github, Visual Studio, etc.

 + Experience programming with languages such as Java, Javascript and Python.

 + Ability to troubleshoot and resolve basic operational issues within data systems.

## Description

Join our team as a Database Engineer Level 1, contributing to the development and maintenance of data architectures and platforms, while ensuring efficient operations through troubleshooting and issue remediation. This role provides opportunities to work with a diverse array of data technologies and gain exposure to cutting-edge AI tools that can enhance your engineering capabilities., + Assist in the development, optimization, and implementation of scalable and robust data pipelines and ETL processes using tools like Informatica, Fivetran, DBT, or OpenFlow to transform and load data into data warehouses such as Snowflake

 + Administer modern Data Lakehouse Platforms such as Snowflake, One Lake, and Databricks

 + Support the design and implementation of data models to accommodate various business needs

 + Integrate and work with diverse data sources, such as Oracle, SQL Server, MongoDB, and PostgreSQL

 + Participate in the setup and monitoring of streaming data platforms, using tools like Kafka and Amazon Kinesis

 + Ensure data quality and integrity by implementing validation and monitoring processes

 + Collaborate with team members to optimize the performance of existing data infrastructure

 + Perform troubleshooting and diagnose issues within data pipelines and systems to ensure smooth operations

 + Work within Agile development practices, including participation in Scrum meetings and sprint planning

 + Preference for familiarity with AI tools, such as GitHub Copilot, to enhance development efficiency


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