Senior Data Engineer

Precision Technologies; New Jersey; On-site; USD 140,000 - 190,000; Full time

Job summary

Precision Technologies is seeking a Senior Data Engineer with strong Microsoft Fabric expertise to design, develop, and optimize scalable data engineering solutions. You will work on modern data platforms, cloud technologies, data pipelines, and enterprise data architecture.

Responsibilities include building pipelines with Fabric, Data Factory, Lakehouse, and Warehouse, and implementing ETL/ELT processes. Collaboration with Power BI teams and stakeholders is essential for enterprise data

Qualifications

• 10+ years of experience in Data Engineering, Data Warehousing, or Big Data.
• Strong hands-on experience with Microsoft Fabric and its core components.
• Expertise in PySpark, Python, Spark SQL, and advanced SQL.
• Experience with Fabric Lakehouse, Warehouse, OneLake, and Data Factory.
• Strong understanding of ETL/ELT, dimensional modeling, and data warehouse concepts.
• Experience with Azure Data Factory, Azure Data Lake Storage, or other cloud data platforms.
• Knowledge of Delta Lake, data partitioning, performance tuning, and large-scale data processing.
• Experience with Git, CI/CD pipelines, and automated deployment practices.
• Strong problem-solving, communication, and stakeholder collaboration skills.

Responsibilities

• Design and implement scalable data pipelines using Microsoft Fabric, Data Factory, Lakehouse, and Warehouse.
• Develop data transformation workflows using PySpark, Spark SQL, Python, and SQL.
• Build and optimize Lakehouse architectures, Delta tables, and OneLake solutions.
• Implement ETL/ELT processes for structured and unstructured data.
• Integrate data from multiple sources using Azure Data Factory, APIs, and cloud-based connectors.
• Optimize data processing performance, pipeline reliability, and query execution.
• Implement data quality, governance, security, and access controls.
• Work with Power BI teams to support reporting, analytics, and business intelligence solutions.
• Collaborate with architects, analysts, and business stakeholders to deliver enterprise data solutions.
• Follow best practices for CI/CD, version control, monitoring, and deployment.

Skills

Microsoft Fabric

PySpark

Python

Spark SQL

SQL

ETL/ELT

Data Warehousing

Azure Data Factory

Azure Data Lake Storage

Git

CI/CD

Power BI

Communication

Job description

Location: USA

Experience: 10+ Years

Employment Type: Full-Time

Job Description

We are looking for an experienced Senior Data Engineer with strong Microsoft Fabric expertise to design, develop, and optimize scalable data engineering solutions. The ideal candidate will have hands-on experience with modern data platforms, cloud technologies, data pipelines, and enterprise data architecture.

Key Responsibilities

• Design and implement scalable data pipelines using Microsoft Fabric, Data Factory, Lakehouse, and Warehouse.
• Develop data transformation workflows using PySpark, Spark SQL, Python, and SQL.
• Build and optimize Lakehouse architectures, Delta tables, and OneLake solutions.
• Implement ETL/ELT processes for structured and unstructured data.
• Integrate data from multiple sources using Azure Data Factory, APIs, and cloud-based connectors.
• Optimize data processing performance, pipeline reliability, and query execution.
• Implement data quality, governance, security, and access controls.
• Work with Power BI teams to support reporting, analytics, and business intelligence solutions.
• Collaborate with architects, analysts, and business stakeholders to deliver enterprise data solutions.
• Follow best practices for CI/CD, version control, monitoring, and deployment.

Required Skills

• 10+ years of experience in Data Engineering, Data Warehousing, or Big Data.
• Strong hands-on experience with Microsoft Fabric and its core components.
• Expertise in PySpark, Python, Spark SQL, and advanced SQL.
• Experience with Fabric Lakehouse, Warehouse, OneLake, and Data Factory.
• Strong understanding of ETL/ELT, dimensional modeling, and data warehouse concepts.
• Experience with Azure Data Factory, Azure Data Lake Storage, or other cloud data platforms.
• Knowledge of Delta Lake, data partitioning, performance tuning, and large-scale data processing.
• Experience with Git, CI/CD pipelines, and automated deployment practices.
• Strong problem-solving, communication, and stakeholder collaboration skills.

Preferred Qualifications

• Microsoft Fabric certifications or relevant Azure data certifications.
• Experience with Fabric Real-Time Intelligence, Direct Lake, and semantic models.
• Knowledge of data governance, Microsoft Purview, and enterprise security practices.
• Experience migrating legacy data platforms to Microsoft Fabric.
• Exposure to AWS, Snowflake, Databricks, or other modern data platforms.