This Job Vacancy has Expired!

Senior Data Analytics Engineer

Posted on Oct 19, 2022 by Request Technology

Dallas, TX 75201
Immediate Start
$160k - $170k Annual

Senior Data Analytics Engineer

Salary: $160k-$170k + 15% bonus

Location: Hybrid role in any of the following locations

Chicago, IL/Dallas, TX/New Jersey, NJ

*We are unable to provide sponsorship for this role*

*Bonus Eligible*


  • BS degree in Computer Science, similar technical field, or equivalent practical experience
  • 5+ years of software development experience
  • Experience working with Cloud ecosystems (AWS, Azure, GCP)
  • 5+ years of hands-on experience with Big Data and distributed stream processing frameworks such as Hadoop, Kafka, Hive, and Presto.
  • 3+ years of hands-on experience with stream processing engines such as Apache Storm, Spark, Flink, or Beam
  • Experience with multiple programming languages such as Python, Java, and Scala
  • Strong knowledge of SQL
  • Experience with data storage formats such as Apache Parquet, Avro, or ORC
  • Knowledge and understanding of DevOps tools and technologies such as Terraform, Git, and Jenkins
  • Familiarity with Kubernetes and container orchestration technologies such Rancher, EKS, or GKE
  • Experience with table formats such as Iceberg, Delta Lake, or Hudi is a plus
  • Good understanding of data integrations patterns, technologies, and tools


  • Responsible for crafting and building cloud-based applications and data systems that will serve as the backbone for the enterprise data management and analytics capabilities.
  • You will join the core team responsible for the design, development, and implementation.
  • Work closely with internal and external business and technology partners. We will define system architecture, technology stack and its tactical implementation.
  • Take on unique technical challenges associated with handling large datasets and managing streaming data in public cloud and hybrid environments, build large and complex data pipelines, integrate data coming from diverse sources in different formats, implement continuous integration/continuous delivery pipelines, automate everything we can get our hands on, and be part of the API-first design principal implementation.

Reference: 1764596381

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