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Sr. Data Engineer/Lead (Remote)

Hudson Data · Herndon, VA · Remote

3030

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Sr. Data Engineer/Lead (Remote) at Hudson Data. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Title

Sr. Data Engineer

Location

Remote

Duration

Long Term

Description

Required Qualifications

BS in Computer Science or Engineering, or a related technical field

  • Integrate third-party APIs, and the ability to understand them in several formats
  • 5+ years of Expertise writing production grade code in Python, Kafka, Spark,

Scala and/or Java.

  • Data build tools (DBT) have good experience.
  • Coding experience in shipping/Devops complex software to production
  • Expertise in data structures, algorithms, performance and scalability
  • Knowledge of high-scale performance and optimization tools and techniques
  • Desire to learn functional programming, specifically in Python/Java, as it is our

primary development language

  • Able to drive ELT solutions across the AWS consumption Stack(Athena, Glue)

Preferred Qualifications

  • Experience with Kafka, Spark, Apache Airflow and Kubernates (Docker and containers)
  • Understanding of fault-tolerant systems, network programming, multithreaded

programming, and security

  • Experience with distributed systems and application design in a SOA environment
  • Experience with AWS and/or Azure (configuring, deploying, managing) services and

distributed applications

  • experience working with healthcare data (EMR Clinical data, Claims from variety of

payers, etc.)

  • 3+ years of experience working with, analyzing, and understanding data using SQL
  • Experience with Python a must
  • Experience with Databricks a plus
  • Experience with recommendations, predictions, personalization and machine learning,

A/B testing, Spark, Kafka, and MongoDB

  • Experience with healthcare data experience (FHIR, Claims, Eligibility, RX)
  • Experience with Python spark/Scala/Java a must
  • Experience with Bigdata Solutions a must.

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