Data Engineer with Scala

Role: Senior Data Engineer Location: Bentonville, AR (Onsite) Experience: 8+ Years Total | 4+ Years GCP (Recent) Open for W2 Only Role Overview We are seeking an experienced Senior Data Engineer with strong Spark and Streaming expertise to build real-time, scalable data pipelines. The ideal candidate will work with Spark, Kafka, Scala/Python, and GCP to ingest, transform, and deliver data for analytics and machine learning. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for batch and real-time data processing. Build scalable data pipelines using Spark (PySpark/Scala) and streaming technologies ( Kafka/Flink). Develop and optimize data architectures including: Data Lakes Data Warehouses (BigQuery) Streaming platforms Perform performance tuning of Spark jobs, SQL queries, and workflows for speed and cost efficiency. Implement data quality frameworks, monitoring, and alerting to ensure accuracy and reliability. Required Skills & Qualifications Programming Strong proficiency in Python and SQL Experience with Scala or Java (preferred) Big Data & Streaming Expertise in Apache Spark (Spark SQL, DataFrames, Spark Streaming) Experience with Apache Kafka or Pub/Sub Cloud Strong hands-on experience with Google Cloud Platform (GCP) Exposure to Azure Data Services is a plus Data & Tools Data Warehousing: BigQuery, Snowflake, Redshift Orchestration & DevOps tools: Airflow Databricks Docker Kubernetes (nice to have)

Created: 2026-03-04