Senior Data Engineer - Microsoft Fabric, Azure & Lakehouse
Jobs via Dice · United States
- Hybrid
- Full-time
- $130,000 / year
- United States
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Job highlights
- Build Microsoft Fabric infrastructure for data integration.
- Design scalable data pipelines and transformations.
- Ensure trusted data delivery via validation.
- Requires 5+ years in data engineering.
- Proficient in Fabric, Azure, PySpark, and SQL.
About the role
Senior Data Engineer - Microsoft Fabric, Azure & Lakehouse
Jobs via Dice, on behalf of Xylo Technologies, Inc., is seeking a highly skilled Senior Data Engineer with expertise in Microsoft Fabric, Azure, and Lakehouse technologies. This is a remote, 1-year contract position.
Role Overview
The Senior Data Engineer will be responsible for preparing and configuring the Azure Microsoft Fabric instance to support integration with Cogito Cloud. This includes building and deploying the necessary data infrastructure by July 2026 to align with Cogito Cloud readiness. The role involves designing and implementing scalable data pipelines, transformations, and platform components within Fabric, as well as supporting data validation, lineage, and certification processes.
Key Responsibilities
- Configure Azure Microsoft Fabric instance for Cogito Cloud integration.
- Design and implement scalable data pipelines and transformations in Fabric.
- Support data validation, lineage, and certification for trusted data delivery.
- Partner with stakeholders for successful integration and go-live readiness.
Core Requirements
- 5+ years of experience in data engineering or data platform development.
- Hands-on experience with Microsoft Fabric, including Lakehouse architecture, Data Factory (Fabric pipelines), Dataflows Gen2, Warehousing/SQL endpoints.
- Strong experience with Azure data services such as ADLS, Synapse, and Azure SQL.
Technical Skills
- Proficiency in Python and/or PySpark.
- Advanced SQL skills.
- Experience building and optimizing ETL/ELT pipelines and data ingestion frameworks (batch & streaming).
- Strong understanding of Medallion architecture (Bronze/Silver/Gold layers) and Delta Lake/parquet-based storage.
- Experience with CI/CD and DevOps practices (Azure DevOps, Git).
Data & Platform Expertise
- Data modeling experience (dimensional + semantic layer support).
- Experience integrating data for reporting (Power BI preferred), downstream analytics, and AI/ML use cases.
- Familiarity with data governance and security (RBAC, HIPAA, data policies).
Nice to Have
- Experience with Power BI semantic models/datasets.
- Experience with real-time analytics in Fabric.
- Exposure to data catalog/lineage tools.
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, or related field; OR equivalent 5+ years of experience.
- 5+ years of hands-on experience programming in SQL.
- 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes.
Key skills/competency
- Microsoft Fabric
- Azure Data Lake Storage (ADLS)
- Data Pipelines
- PySpark
- SQL
- Lakehouse
- Medallion Architecture
- ETL/ELT
- Data Engineering
- Azure Synapse
Skills & topics
- Senior Data Engineer
- Microsoft Fabric
- Azure
- Lakehouse
- Data Factory
- PySpark
- SQL
- ETL
- Data Pipelines
- Data Engineering
- Remote
- Contract
- Xylo Technologies
How to get hired
- Tailor your resume: Highlight your Microsoft Fabric, Azure, PySpark, and SQL experience. Quantify achievements in data engineering and pipeline development.
- Showcase relevant projects: Emphasize your experience with Lakehouse, Data Factory, Medallion Architecture, and Delta Lake.
- Prepare for technical questions: Be ready to discuss ETL/ELT processes, data modeling, and CI/CD practices.
- Understand the role: Familiarize yourself with Xylo Technologies' goals and how your skills contribute to their integration with Cogito Cloud.
Technical preparation
Master Microsoft Fabric components and OneLake.,Practice PySpark and advanced SQL queries.,Build sample ETL pipelines with Azure Data Factory.,Implement Medallion Architecture patterns.
Behavioral questions
Describe a complex data pipeline you built.,How do you ensure data quality and governance?,How do you collaborate with stakeholders?,Tell me about a challenging integration project.
Frequently asked questions
- What are the key technologies for the Senior Data Engineer role at Xylo Technologies?
- The key technologies for this Senior Data Engineer position include Microsoft Fabric, Azure Data Lake Storage (ADLS), Lakehouse architecture, Data Factory, Dataflows Gen2, OneLake, Synapse, PySpark, SQL, Medallion Architecture, and Delta Lake. Proficiency in Python and advanced SQL is also crucial.
- Is this Senior Data Engineer position remote?
- Yes, this Senior Data Engineer position with Xylo Technologies, Inc. is a fully remote role.
- What is the duration of the Senior Data Engineer contract?
- The contract for the Senior Data Engineer role is for a duration of 1 year.
- What is the expected experience level for this Senior Data Engineer role?
- The role requires a minimum of 5+ years of experience in data engineering or data platform development, with specific hands-on experience in Microsoft Fabric and Azure data services.
- What specific experience is required with Microsoft Fabric for this role?
- Candidates must have hands-on experience with Microsoft Fabric, including Lakehouse architecture, Data Factory (Fabric pipelines), Dataflows Gen2, and Warehousing/SQL endpoints.
- What are the main responsibilities of the Senior Data Engineer at Xylo Technologies?
- The main responsibilities include configuring the Azure Microsoft Fabric instance, designing and implementing scalable data pipelines and transformations, supporting data validation and lineage, and partnering with stakeholders for successful integration and go-live.
- Does this Senior Data Engineer role require Python or PySpark experience?
- Yes, proficiency in Python and/or PySpark is a required technical skill for this Senior Data Engineer position.
- What understanding of data architecture is needed for this role?
- A strong understanding of Medallion architecture (Bronze/Silver/Gold layers) and Delta Lake/parquet-based storage is essential for this Senior Data Engineer role.