Data Engineer (Fabric, PySpark, Salesforce) - 100% Remote - Conexess : Job Details

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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.

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 - each bringing expertise in their domain - 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.
• DevOps & CI/CD
• Build and maintain deployment pipelines for Fabric artifacts (notebooks, pipelines, lakehouses).
• 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, OneLake).
• 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

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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