Senior Data Engineer

Senior Data Engineer 2853

• Hourly pay: $60-$70/hr
• Worksite: Leading music streaming company (Remote, Open to candidates located in the United States, EST or CST zones).
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 6 Month Assignment

A leading music streaming company seeks a Senior Data Engineer to design, build, and optimize scalable data platforms and processing pipelines that power analytics and business intelligence. This role collaborates with cross-functional teams to develop high-performance data solutions, integrate data from multiple sources, and support enterprise data initiatives using modern cloud and big data technologies.

Senior Data Engineer Responsibilities:

• Design, develop, and maintain scalable, high-performance data pipelines, ETL processes, and distributed data processing systems using technologies such as Spark and similar frameworks.
• Build and optimize data models, cloud-based data warehouse solutions, and data infrastructure while ensuring data quality, reliability, and performance.
• Develop complex SQL queries and data integration solutions to support analytics, reporting, and business intelligence initiatives.
• Collaborate with cross-functional teams to integrate data from multiple sources, troubleshoot performance issues, and implement scalable data engineering best practices.
• Monitor, optimize, and maintain data platforms while researching emerging technologies and contributing to the continuous improvement of data engineering processes.

Senior Data Engineer Qualifications:

• 5 years of Data Engineering experience.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong expertise with Python and Apache Spark.
• Strong understanding of distributed systems, data modeling, and ETL processes.
• Experience designing and maintaining scalable data pipelines.
• Experience with cloud-based data warehouse solutions such as AWS Redshift, Snowflake, or Teradata.
• Advanced SQL skills.
• Experience with Scala is preferred.
• Experience with Databricks is preferred.

Shift:

• Monday to Friday, 9:00 am to 5:00 pm.

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