Job Description
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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