Senior Data & Automation Engineer

KISH BANKBrown Township, PA

About The Position

Kish Bank is seeking a Senior Data & Automation Engineer to design and build modern, API-driven data pipelines and intelligent automation solutions that power our next generation of analytics and AI capabilities. This is a hands-on engineering role focused on Python development, API integrations, workflow automation, and cloud data platforms (Snowflake). You’ll play a critical role in connecting systems, eliminating manual processes, and enabling scalable, data-driven decision making across the organization.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field
  • 4–6+ years of experience in Python development
  • 4–6+ years of experience in Data engineering or integration engineering
  • Strong experience with REST APIs (authentication, pagination, error handling)
  • Experience building data pipelines and automation workflows
  • Strong SQL skills and data modeling understanding
  • Experience with cloud data platforms (Snowflake preferred)
  • Strong problem-solving and communication skills

Nice To Haves

  • Experience in banking or financial services
  • Exposure to iPaaS tools (Boomi, MuleSoft, Celigo)
  • Familiarity with event-driven or real-time architectures
  • Experience integrating AI/ML into workflows
  • Knowledge of Power Platform (Power Automate, PowerApps)
  • Experience with containerized or cloud-native environments

Responsibilities

  • Design and build Python-based data pipelines and microservices
  • Develop and maintain REST API integrations across core systems and third-party platforms
  • Transition data workflows from file-based to API-first and event-driven architectures
  • Implement error handling, logging, and monitoring for production pipelines
  • Build end-to-end automated workflows using Python and tools like Microsoft Power Automate
  • Automate business processes including data movement, document processing, and system updates
  • Develop RPA-style solutions where APIs are not available
  • Identify opportunities to replace manual work with scalable automation
  • Integrate AI-driven capabilities (document parsing, summarization, decision support)
  • Support emerging agent-based and intelligent automation use cases
  • Design pipelines to load and transform data into Snowflake
  • Support near real-time ingestion and scalable data architecture
  • Contribute to data models and analytics-ready datasets
  • Enable reporting through tools like Power BI, Tableau, or Sigma
  • Ensure secure integrations and alignment with enterprise controls
  • Support data governance, lineage, and quality standards
  • Partner with IT, Security, and business teams to deliver reliable solutions

Benefits

  • Competitive salary and performance-based growth
  • Comprehensive medical, dental, and vision coverage
  • 401(k) with company match
  • Generous PTO + paid holidays + volunteer time off
  • Tuition reimbursement & career development programs
  • Employee discounts on banking and insurance products
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service