Placeholder canvas

Big Data Engineer

Job Type: Full Time
Job Location: Denver CO

Do you want to be part of a team that values sustainable quality over velocity and encourages team members’ direct participation?  Do you want to be part of a global organization in the continued development of a data pipeline using AI for predictive analytics and benchmarking?


  • Define technology roadmap in support of product development
  • Lead the design, architecture and development of multiple real time streaming data pipelines encompassing multiple product lines and edge devices
  • Ensure data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
  • Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
  • Conduct design and code reviews
  • Provide technical leadership to agile teams – onshore and offshore: mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems
  • Analyze and improve efficiency, scalability, and stability of various system resources
  • Foster Agile Development environment and apply the methodologies
  • Monitor risk of technical debt and ensure technical debt is not created

Required Skills:

  • Expert knowledge of data architectures, data pipelines, real time processing, streaming, networking, and security
  • Proficient understanding of distributed computing principles
  • Advanced knowledge of Big Data querying tools, such as Pig or Hive
  • Expert understanding of Lambda Architecture, along with its advantages and drawbacks
  • Proficiency with MapReduce, HDFS
  • Experience with integration of data from multiple data sources and multiple data types
  • Bachelor’s Degree in Software Engineer
  • 12+ years’ experience in software engineering with 2+ years using public cloud
  • 6+ Experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop
  • 4+ years’ experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
  • 1+ years’ experience with DataBricks
  • 3+ years’ experience:oSQL databases, such as HBase, Cassandra, MongoDB
  • Big Data ML toolkits, such as Mahout, SparkML, or H2O
  • Scala or Java Language as it relates to product development.
  • 3+ Years’ DevOps experience in cloud technologies like AWS, CloudFront, Kubernetes, VPC, RDS, etc
  • Management of Spark or Hadoop clusters, with all included services
  • 4+ years’ experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
  • 4+ years’ experience with various messaging systems
  • 1+ years of DevOps experience
  • 1+ years’ benchmarking experience

Apply for this position

Maximum allowed file size is 256 MB. Allowed Type(s): .pdf, .doc, .docx

Connecting People for
over 25 Years



Our mission is to raise the bar of your hiring process.

We help companies who seek to hire experts in Artificial Intelligence, Machine Learning, and Data Science deal with hiring challenges from limited recruiting resources with a proven process specializing in AI/ML software technologies, so unlike vendors that are NOT Experts in AI/ML recruitment, they don’t deal with wasted time and money and can expedite their technology staffing process.

We are the experts in finding geniuses of Artificial Intelligence and Machine Learning.
© 2024 Heyer Expectations, Professionals in Hiring. All Rights Reserved. Site by Concept To Web