Conexess
Data Engineer (Fabric, PySpark, Salesforce) - 100% Remote
Conexess, New York, New York, United States
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
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.).
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Required Qualifications
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.).
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