Jr Data Engineer

Piper Companies is seeking a Jr. Data Engineer to oin a fast-paced Application Development and Data team. This role is ideal for someone who enjoys solving business problems through a combination of SQL-based data engineering, automation development, and modern AI-assisted coding tools.

The position offers a unique opportunity to work across enterprise data integration initiatives while also developing lightweight business applications and automation solutions using emerging AI-enabled development practices.

You will split your time between two critical areas:

• Data Engineering (SQL‑based ingestion and transformation for our data warehouse)
• Rapid development of highly tailored automation tools using Vibe coding and AI‑assisted delivery

Responsibilities

• Develop and maintain SQL-based data ingestion, transformation, and optimization workflows supporting enterprise reporting and analytics initiatives
• Assist in building and supporting lightweight automation tools and business applications using AI-assisted development tools and rapid development practices
• Write and optimize SQL queries, stored procedures, and transformation logic across relational database environments
• Support ETL/data integration processes including data validation, cleansing, profiling, and source-to-target mapping
• Develop Python-based scripts and automation processes for ingestion, reporting, and operational workflows
• Troubleshoot and resolve data pipeline, SQL, and automation-related issues
• Work closely with business analysts, project teams, and technical stakeholders to understand requirements and deliver scalable solutions
• Contribute to documentation, testing, and continuous process improvement initiatives
• Participate in data modeling and enterprise data warehouse support activities

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field
• 1–3 years of experience in data engineering, ETL development, database development, or automation engineering
• Strong SQL skills with hands-on experience in SQL Server, Oracle, PostgreSQL, Snowflake, or similar relational databases
• Experience with Python scripting for automation, data processing, or integration workflows
• Exposure to ETL/data integration concepts, APIs, flat files, and data transformation processes
• Familiarity with AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar rapid-development platforms
• Understanding of data warehousing concepts including normalization, dimensional modeling, and source-to-target mapping
• Experience with Git or version control tools
• Strong analytical, troubleshooting, and problem-solving abilities
• Excellent communication and collaboration skills in a fast-paced environment

Preferred Qualifications

• Exposure to Snowflake or cloud-based data platforms
• Familiarity with PowerShell or additional scripting languages
• Experience with APIs/web services integration
• Exposure to Agile development methodologies
• Experience building lightweight internal automation tools or workflow solutions

This is a fully onsite opportunity offering strong career growth, hands-on technical experience, and exposure to modern data engineering and AI-assisted software delivery practices.

COMPENSATION:

• Salary Range: $85,000 – $90,000

• Onsite: Wayne, PA

• Comprehensive Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave as required by law, and Holidays

This job opens for applications on 5/6/26 Applications will be accepted for at least 30 days from the posting date.

#LI-KP1 #LI-ONSITE

Keywords: Senior ETL Developer, ETL, ELT, SQL, Data Engineering, Data Pipelines, Cloud Data, Snowflake, Azure Synapse, Redshift, DBT, Talend, Matillion, Informatica, Git, CI/CD, Data Modeling, Data Warehousing, Offshore Collaboration, Financial Services Data