Data Engineer (Multiple Positions)

Design, construct, test, and maintain robust, reliable, and scalable data pipeline and services, and investigate and integrate up-and-coming big data technologies into existing requirements.

Requirements

• Designing and modeling data warehouse to support data analytics, reporting, and data applications;
• Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, and/or SQL Server to optimize the data processing performance;
• Programming using SQL, Python, and/or Java;
• Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues;
• Building data services or applications using HBase, Elastic Search, ClickHouse, and/or SQL Server.

Benefits

• Commuter benefits
• Flexible PTO
• Health insurance
• Life insurance
• Retirement Plan