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Closed on August 2, 2026.
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Senior Data Engineer
Senior
Big Data
Bigdata
Cloud
Cloud Platform
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Databricks
ETL
Information Technology (IT)
Scala
Snowflake
Spark
SQL
Teradata
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Job Description
Avispa Technology invites you to join a collaborative data engineering team building analytics capabilities for a leading music streaming company. This contract role in New York, NY with remote options offers an hourly rate of $60 to $70 and the chance to work with modern cloud and big data technologies alongside cross‑functional partners to turn data into actionable insights.
Benefits
- Group Medical
- Dental
- Vision
- Life
- Retirement Savings Program
- PSL
Responsibilities
- Create and maintain scalable, high‑throughput data pipelines and ETL processes, leveraging Spark and similar distributed processing frameworks.
- Design and optimize data models and cloud‑based data warehouses and infrastructure, ensuring data quality, reliability, and performance.
- Develop sophisticated 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 bottlenecks, and implement scalable data engineering practices.
- Monitor, optimize, and maintain data platforms while researching emerging technologies and contributing to ongoing 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.
- Experience with Scala is preferred.
- Experience with Databricks is preferred.
Technologies
- Apache Spark
- Python
- AWS Redshift
- Snowflake
- Teradata
- SQL
- Scala
- Databricks
Shift
Monday to Friday, 9:00 am to 5:00 pm