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Data Engineer; Fabric, PySpark, Salesforce - Remote

Remote / Online - Candidates ideally in
Norfolk, Virginia, 23500, USA
Listing for: Conexess Group
Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below
Position: Data Engineer (Fabric, PySpark, Salesforce) - 100% Remote

Data Engineer

We are building a modern data platform in Microsoft Fabric and seeking a Senior/Principal Data Engineer to help design, implement, and scale it. This role is hands‑on with pipelines, notebooks, and CI/CD automation, while also playing a key role in architectural decisions and best practices. You will work alongside a team of senior engineers and architects, so collaboration, technical depth, and leadership are equally important.

Key Responsibilities
  • Engineering in Microsoft Fabric
    • Develop, optimize, and maintain Fabric Data Pipelines for ingestion from on‑prem and cloud sources.
    • Build PySpark notebooks to implement scalable transformations, merges/upserts, and medallion‑lakehouse patterns.
    • Ensure reliability and performance in Lakehouse and Delta Lake design.
  • Architecture & Design
    • Contribute to the design and evolution of our Fabric‑based platform.
    • Define standards and frameworks for schema management, versioning, governance, and data quality.
    • Collaborate with peers to evaluate trade‑offs and guide enterprise‑scale architecture.
  • Dev Ops & CI/CD
    • Build and maintain deployment pipelines for Fabric artifacts (notebooks, pipelines, lake houses).
    • Establish environment‑aware configuration and promotion workflows across Dev/QA/Prod.
    • Drive automation to reduce manual effort and improve reliability.
  • Mentorship
    • Work as a peer‑leader with other senior engineers and architects to shape platform strategy.
    • Mentor other engineers and contribute to building a strong engineering culture.
Required Qualifications
  • 7+ years in data engineering, with proven impact in enterprise environments.
  • Strong hands‑on expertise in Microsoft Fabric (Pipelines, Lakehouse, Notebooks, One Lake).
  • Advanced PySpark skills for data processing at scale.
  • Expertise in Delta Lake, medallion architecture, schema evolution, and data modeling.
  • Experience with CI/CD for data engineering, including Fabric asset deployments.
  • Strong SQL and experience with SQL Server/Azure SQL.
Preferred Qualifications
  • Experience helping launch or scale Microsoft Fabric adoption.
  • Familiarity with data governance, lineage, and compliance frameworks.
  • Knowledge of real‑time/streaming data patterns.
  • Exposure to Salesforce, CRM, or DMS integrations.
  • Excellent communication and collaboration skills for working with peer‑level experts.
  • In depth knowledge of the Azure ecosystem (API Management, Azure Functions, etc.).

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Information Technology

Industry: IT Services and IT Consulting

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