Hiring: Data Engineer Company: UST Location: Bentonville, AR Job Posted Time: 2026-09-10 10:16:37 Employment Type: Full-time Target Skills & Keywords : AWS, Airflow, Azure, BigQuery, Data Pipeline, Data Warehouse, Databricks, ELT, ETL, GCP, Informatica, Java, Kafka, PySpark, Python, SQL, Spark, Terraform About the job Experience: •6+ years of experience in designing, developing, and supporting scalable data pipelines and enterprise data platforms. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), Apache Airflow DAGs, Java/Spark development, and SQL-based data engineering to support large-scale analytics and data transformation initiatives. •6+ years of experience in Data Engineering with demonstrated hands on experience of 4+ years of experience in Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP 3+ years of recent experience in Develop, schedule, and manage workflows using Apache Airflow DAGs •3+ years of experience in Build and optimize batch and streaming data processing solutions using Java and Apache Spark. •4+ years of experience with writing complex and optimized SQL queries for data extraction, transformation and reporting Required Skills: •Develop reusable data processing frameworks and components ensuring data quality, consistency, and reliability across data platforms. o high-volume data integration and migration initiatives. •Optimize Spark jobs for performance, scalability, and cost efficiency. •Code reviews, testing, deployment, and production support activities of monitoring & troubleshooting airflow workflow and production pipelines •Should have experience in query performance through indexing, portioning and data model optimization •Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and data lakes. •Build and optimize data solutions using SQL, Python, Spark, and cloud technologies such as Azure, AWS, or GCP. •Develop and manage data integration workflows using tools like Azure Data Factory, Databricks, Airflow, or Informatica. •Ensure data quality, integrity, security, and governance through validation, monitoring, and compliance best practices. Compensation: •$92,000 - $138,000 / year •They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!