Data & Automation Engineer

Data & Automation Engineer

Regular Full-Time Reedsville, PA, US

Support development of Python-based data pipelines to ingest and move data across systems

Assist in building and maintaining REST API integrations with internal and third‑party platforms

Help transition workflows from manual/file‑based processes to API‑driven automation

Contribute to error handling, logging, and monitoring for pipelines

Help build automated workflows using Python and tools like Microsoft Power Automate

Support automation of business processes including data movement and system updates

Assist with RPA‑style solutions where APIs are unavailable

Identify opportunities to reduce manual work through automation

Support loading and transforming data into Snowflake for analytics and reporting

Assist in building analytics‑ready datasets and data models

Contribute to dashboards and reporting using tools like Power BI

Help improve data structure to make reporting more efficient and scalable

Assist in integrating AI capabilities into workflows (document processing, summarization, etc.)

Gain exposure to emerging automation and AI use cases

Partner with team members and stakeholders to deliver solutions

Follow data governance, security, and quality standards

Continuously learn and stay current with modern data, API, and automation technologies

Bachelor’s degree in Computer Science, Information Systems, or related field

1–3 years of experience in:

• Data engineering / technical role (Internships, projects, or coursework count)
• Basic understanding of REST APIs
• Foundational knowledge of SQL and data structures
• Exposure to Python or scripting for automation or data processing
• Strong problem‑solving and analytical thinking
• Ability and desire to learn quickly in a fast‑evolving environment
• Strong communication and teamwork skills

• Internship or project experience with APIs, automation, or data pipelines
• Familiarity with Power BI or data visualization tools
• Exposure to Snowflake or cloud data platforms
• Experience with Power Automate, UiPath, or similar tools
• Basic understanding of data modeling or analytics concepts
• Interest in AI, automation, or modern data architecture
• Experience in banking or financial services

• Competitive salary with clear growth opportunities
• Comprehensive medical, dental, and vision coverage
• 401(k) with company match
• Hands‑on experience with modern tools (APIs, Snowflake, automation, AI)li>
• A collaborative environment focused on learning, growth, and innovation