Senior Data Engineer: M&A Data Pipelines & Spark

US staffing Inc; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

US staffing Inc is seeking a Data Engineer to design and maintain Java-based data pipelines supporting M&A integration efforts. The ideal candidate will possess strong hands-on experience in data engineering and enterprise data integration, demonstrating proficiency with SQL, Databricks, and AWS services.

Collaboration with stakeholders and a solid understanding of data governance principles are essential. This role also emphasizes troubleshooting complex data issues and ensuring data quality and security, making it crucial for success.

Qualifications

• Strong hands-on experience with Java.
• Proven experience in data engineering and enterprise-scale data integration.
• Strong SQL skills and experience working with high-volume datasets.
• Experience with Databricks and Apache Spark.
• Familiarity with modern data lake and warehouse platforms.

Responsibilities

• Design, build, and maintain Java-based data pipelines.
• Ingest, transform, and integrate large datasets into enterprise data platforms.
• Develop scalable data processing workflows.
• Utilize SQL for data validation and transformation.
• Ensure data quality and compliance with standards.

Skills

Java

SQL

Databricks

Apache Spark

AWS

Git/GitHub

Tools

Snowflake

Job description

US staffing Inc is seeking a Data Engineer to design and maintain Java-based data pipelines supporting M&A integration efforts. The ideal candidate will possess strong hands-on experience in data engineering and enterprise data integration, demonstrating proficiency with SQL, Databricks, and AWS services.

Collaboration with stakeholders and a solid understanding of data governance principles are essential. This role also emphasizes troubleshooting complex data issues and ensuring data quality and security, making it crucial for success.