Job summary
A technology consulting firm in Denver is seeking a Data Engineer with data engineering experience to build ETL pipelines and manage data flows using Spark, Kafka, and various data formats including JSON and Parquet. This role requires strong analytical skills and proficiency in cloud technologies like AWS. The candidate should have experience in managing data pipelines for analytics. This position offers a competitive salary range of approximately $110,000 to $126,000 with contract employment.
Strong organizational and analytical skills
Experience implementing and maintaining high-performance data structures
Experience in relational SQL and NoSQL databases
High proficiency in Python, Spark, SQL, and/or Scala
Experience in designing and implementing ETL processes
Experience in managing data pipelines
Strong understanding of in-memory processing
Experience in AWS cloud services
Experience in stream-processing systems
Experience in data pipeline management tools
Experience in big data tools
Experience in software engineering tools and practices
Experience in data observability and monitoring
Hands-on experience in maintaining data-schema life-cycles
Good to have experience with Databricks and Snowflake