Hybrid Lead Data Engineer, Python, AWS, SQL

Posted last month

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About the role

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements

  • Bachelor's Degree
  • At least 4 years of experience in application development
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 7+ years of experience in application development including Python, SQL, Scala, or Java (preferred)
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)
  • 4+ year experience working on real-time data and streaming applications (preferred)
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra) (preferred)
  • 4+ years of data warehousing experience (Redshift or Snowflake) (preferred)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting (preferred)
  • 2+ years of experience with Agile engineering practices (preferred)

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities
  • Performance based incentive compensation

Job title

Lead Data Engineer, Python, AWS, SQL

Job type

Experience level

Senior

Salary

$175,800 - $220,700 per year

Degree requirement

Bachelor's Degree

Location requirements

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