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Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 18, 2026.

Overview
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Spyglass Solutions is a leading women-owned consulting firm specializing in Data, AI, and Security solutions on the Microsoft clouds. With over 15 years of experience, we offer expertise in AI Transformation, Data Platform Integration, Business Analytics, and more. Our services include M365 Migrations, Azure Platform solutions, Managed Services, and much more. As a Microsoft Solutions Partner with 5 Solutions Badges and FastTrack Ready status, we pride ourselves on delivering excellence to our clients. Our team of experts, including our experienced leadership team, is dedicated to your success. Whether you are looking to embark on an AI transformation journey, modernize on Azure, or enhance your security model, Spyglass Solutions is here to help. Contact us today to learn how we can pave the way for your business success in the digital age. Partner with us and experience the difference with Spyglass Solutions.

Description

  • Engagement Type: Contract-C2C or W-2 hourly/temporary
  • Expected Commitment: 40 hours per week, Monday-Friday
  • Work Schedule: Must work East Coast hours
  • Initial Term: Three months, with potential to extend
  • 100% Remote: Ideal candidate resides in NH, MA, RI, CT, ME, NY, or TX

Spyglass MTG is seeking experienced Lead Data Engineers who are “thinkers” and can mentor

junior developers while extending an existing codebase and building team proficiency in

Microsoft Fabric and Pyspark Python including class development and structured streaming.

Why Spyglass MTG?

  • Exclusive focus on Microsoft technologies for more than 12 years
  • 90% of our business comes from repeat customers
  • 80% of our new business comes through Microsoft
  • Five Microsoft Solutions Partner badges and 10 Advanced Specializations
  • Member of Microsoft’s Partner Advisory Council for Data and AI
  • Microsoft Fabric Voice member

Overview

Our client engagement is focused on Microsoft Fabric and Pyspark Python development

including class objects, structured streaming, Change Data Feed (CDF), and metadata driven

processes for our client in higher education.

The successful consultant will be a critical thinker and problem-solver who can work

independently, collaborate with client teams, and deliver high-quality, maintainable data

solutions.

The consultant will design and build python class objects focusing on developing reusable code

to load a Data Vault model from a Medallion ETL delta source. Solution supports near real time

processing using structured streaming. Collaboration and people skills are a must. This role

requires the development of production ready code as well as mentoring data engineers new to

Pyspark Python development. Use of AI, specifically GitHub Copilot, to increase productivity

and code quality is highly desired.

Key Responsibilities

  • Extend and enhance an existing Python class-based codebase.
  • Develop object-oriented solutions to source, transform, and load data into tables.
  • Build and maintain ETL workflows using Microsoft Fabric notebooks.
  • Partner closely with client resources during East Coast business hours.
  • Mentor junior developers in Microsoft Fabric, Python, and object-oriented development.
  • Provide hands-on technical leadership and deliver high-quality solutions.
  • Promote effective development practices and maintainable code.

Requirements

Required Qualifications

  • Must be available to work East Coast hours.
  • Fluent English communication skills.
  • Strong Python development experience.
  • Strong Microsoft Fabric experience, particularly with notebooks.
  • Demonstrated experience with object-oriented programming and class development.
  • Experience developing solutions that source, transform, and load data into tables.
  • Strong ETL experience.
  • Experience leading and mentoring junior developers.
  • Ability to think critically, solve problems independently, and collaborate effectively with

client teams.

Preferred Qualifications

  • Experience with Data Vault data models.
  • Experience using AI tools to generate code or accelerate development.
  • Experience working in higher education.

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