About The Position

Support the enterprise solutions integrations team by helping maintain APIs in C#, Azure Functions, and SQL; assisting with ETL pipelines that move data between SIS, ERP, and other core systems; and contributing to clean, well‑structured data models for reporting. Use Python, Power Platform, and SSIS to automate routine data tasks and help monitor data quality and security. Provide Tier III support for access issues and monitor batch processes for errors. This role is ideal for early‑career engineers eager to learn modern data tools, strengthen technical skills, and support secure and reliable analytics across the organization.

Requirements

  • Proficiency in SQL for querying, data manipulation, and database design (MS SQL, PostgreSQL, Oracle, or similar).
  • Experience integrating data from multiple sources, APIs, and vendor systems.
  • Skilled in building and maintaining data solutions and dashboards using Power BI.
  • Experience working with Visual Studio, C# and/or Azure Functions.
  • Familiarity with data modeling concepts, both relational and dimensional.
  • Understanding of ETL concepts and best practices.
  • Experience in Python for data automation and scripting (pandas, numpy, etc.).
  • Excellent analytical and problem-solving skills with an attention to detail.
  • Strong communication skills with the ability to explain complex technical topics to non-technical stakeholders.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Self-motivated, proactive, and eager to learn new technologies.
  • Team player with a collaborative mindset.
  • Graduation from an accredited college or university with a bachelor’s degree preferably in Information Systems or related field.
  • Citizenship, residency or work VISA in United States required.

Nice To Haves

  • Experience working with low-code, no-code environments preferred.

Responsibilities

  • Develop and maintain APIs used to transmit and receive data from partner organizations using C+, Visual Studio, Azure Functions and SQL.
  • Develop and maintain data pipelines: Design, build, and optimize robust ETL (Extract, Transform, Load) processes to collect, process, and store large data sets from the Student Information System (SIS), Enterprise Resource Planning (ERP) System and other similarly complex business systems.
  • Develop logical and physical data models to represent business processes, enabling analytics and reporting.
  • Create, publish, and maintain interactive dashboards and reports in Power BI, transforming raw data into meaningful insights for business users.
  • Automate data solutions using low-code, no-code platforms (Power Platform, Oracle) and SQL Server Integration Services
  • Write reusable Python scripts to automate data ingestion, transformation, analysis, and reporting tasks.
  • Implement data validation rules, monitor data quality, and ensure adherence to data governance policies.
  • Maintain clear and comprehensive documentation for data structures, processes, and reports to ensure knowledge transfer and compliance.
  • Provide technical support and training to project sponsors and team members on Power BI reports, dashboards, automated solutions and data sources.
  • Keep up with the latest trends, tools, and best practices in data engineering and analytics, proactively suggesting improvements to existing systems.

Benefits

  • medical plans
  • dental plans
  • vision
  • life insurance
  • flexible spending accounts
  • disability coverage
  • 403(b)/457 plans
  • paid holidays
  • sick days
  • personal business days
  • bereavement days
  • FMLA
  • sick bank
  • board approved leaves
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