Senior Data Engineer: Spark, Databricks & Snowflake on AWS

Kforce Inc; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Kforce's NYC client is seeking a highly skilled Data Engineer with hands-on experience in Spark/PySpark, AWS EMR, Databricks, and Snowflake. You will design and build scalable, high-volume data pipelines across cloud platforms.

You will optimize workloads, implement data quality and observability, and resolve complex production challenges. Strong communication and collaboration with cross-functional teams are required.

Qualifications

• Experience designing high-volume data pipelines.
• Hands-on with cloud data platforms.
• Experience with data quality/observability is a plus.

Responsibilities

• Design and build scalable data pipelines on cloud platforms.
• Optimize distributed data processing workloads.
• Implement data quality and observability frameworks.
• Troubleshoot performance and production issues.

Skills

Spark/PySpark

AWS EMR

Databricks

Snowflake

Distributed processing

Education

Bachelor's degree in Computer Science

Tools

Spark/PySpark

AWS EMR

Databricks

Snowflake

Job description

Kforce's NYC client is seeking a highly skilled Data Engineer with hands-on experience in Spark/PySpark, AWS EMR, Databricks, and Snowflake. You will design and build scalable, high-volume data pipelines across cloud platforms.

You will optimize workloads, implement data quality and observability, and resolve complex production challenges. Strong communication and collaboration with cross-functional teams are required.