Senior Data Engineer

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Objective: We need data engineering experience—building ETLs using Spark and SQL, real‑time and batch pipelines using Kafka/firehose, experience with building

PROTO pipelines with Databricks/Snowflake, and ingesting multiple data formats such as JSON, Parquet, and Delta files.

• Strong organizational and analytical skills related to working with structured and unstructured data operations
• Experience implementing and maintaining high‑performance, high‑availability data structures
• Experience in relational SQL and No
  
  SQL databases
• High proficiency in Python, Spark, SQL, and/or Scala
• Experience in designing and implementing ETL processes
• Experience in managing data pipelines for analytics and operational use
• Strong understanding of in‑memory processing and data formats (Avro, Parquet, Json, etc.)
• Experience in AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS
• Experience in stream‑processing systems:
  Storm, Spark‑Structured Streaming, Kafka consumers
• Experience in data pipeline and workflow management tools:
  Apache Airflow, AWS Data Pipeline
• Experience in big data tools:
  Hadoop, Spark, Kafka
• Experience in software engineering tools and practices:
  Git Hub, VSCode, CI/CD
• Experience in data observability and monitoring
• Hands‑on experience in designing and maintaining data‑schema life‑cycles
• Good to have experience with Databricks, Snowflake, and Thought Spot

Mid‑Senior level

Contract

Information Technology

IT Services and IT Consulting

Location:

Denver, CO

Salary: $ – $ (approx.)

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