Sr Data Engineer

Full time
IT
Denver

We are looking for Data/Machine Learning engineers at all levels to help us build a robust and scalable data platform to support AI/ML data pipelines, reporting and data analysis as our business scales. We use cloud native (AWS) cutting-edge technologies like Spark, Kinesis/Kafka Streaming, Graph , infrastructure as code, CI/CD to deliver high-quality data solutions to analysts, data scientists, and partners.

We’re looking for an engineer that takes ownership in their work, has a strong focus on quality, and enjoys working in a collaborative environment.

Responsibilities

  • Apply proven expertise and build high-performance scalable data warehouses
  • Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
  • Securely source external data from numerous partners
  • Intelligently design data models for optimal storage and retrieval
  • Deploy inclusive data quality checks to ensure high quality of data
  • Optimize existing pipelines and maintain of all domain-related data pipelines
  • Ownership of the end-to-end data engineering component of the solution
  • Collaboration with the Data Center SMEs, Data Scientists, and Program Managers
  • Support on-call shift as needed to support the team
  • Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Minimum Qualification

  • Bachelor’s degree or Maser degree in Computer Science, Software Engineering, or related field
  • 5 + years of SQL (Oracle, Vertica, Hive, etc.) experience and relational databases experience (Oracle, MySQL)
  • 5 + years of experience in custom or structured (i.e. Informatica/Talent/Pentaho) ETL design, implementation and maintenance
  • 5 + years’ experience in data engineering, experience in applying DWH/ETL best practic
  • 5 + years of Java and/or Python development experience
  • 5 + years of experience in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive)
  • 5 + years of experience working with enterprise DE tools and experience learning in-house DE tools
  • 3+ years exp in AWS data solutions stack – EMR, S3, redshift, Kinesis, ECS, Docker
  • 3+ years exp in CI/CD stack – Jenkins , Git

Preferred Qualifications

  • Master’s degree or Bachelor degree in a related field.
  • Cloudera Administrator certification.

Working Conditions

  • Office environment.