Senior Data Engineer

Senior Data Engineer contract role in New York, NY (remote) for a leading music streaming company.

Responsibilities

• Design, develop, and sustain scalable, high‑performance data pipelines, ETL workflows, and distributed data processing systems using Apache Spark and related frameworks.
• Build and optimize data models and cloud-based data warehouse 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 consolidate data from multiple sources, troubleshoot performance issues, and apply scalable data engineering best practices.
• Monitor, optimize, and maintain data platforms; research emerging technologies and contribute to continuous process improvements.

Requirements

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

Technologies

• Apache Spark
• Python
• AWS Redshift
• Snowflake
• Teradata
• SQL
• Scala
• Databricks

Benefits

• Group Medical
• Dental
• Vision
• Life
• Retirement Savings Program
• PSL

Compensation

• Hourly rate: USD 60 - 70

Shift

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