Senior Data Engineer in San Diego, CA

$100K - $150K(Ladders Estimates)

Verimatrix   •  

San Diego, CA 92101

Industry: Enterprise Technology

  •  

5 - 7 years

Posted 36 days ago

Be a leader on our small, dedicated team by helping us deliver high-quality, high-performing products. Develop creative solutions to problems, collaborate with awesome teammates and help us build a world class analytics platform. We are a global company and appreciate people with global awareness and knowledge (languages other than English are a bonus).

Some tasks a Senior Data Engineer will perform:

  • Work closely with the leadership team to establish and maintain the technical and functional direction for the analytics product portfolio
  • Design and develop software and data pipelines for managing premium video data collected from various devices
  • Implement big data best practices for data warehousing/data lake creation, provision and consumption
  • Participate in and lead discussions dealing with architectures, specifications, requirements, testing and design reviews
  • Implement your own and others' designs, write code, write and perform unit tests and integrate into our distributed video security data flow system
  • Develop new algorithms and software, analyze, review and re-architect current designs in order to create new capabilities as well as improve performance, efficiency and sustainability
  • Estimate and plan development tasks, improve development processes and tools to meet corporate targets
  • Work with other departments to resolve problems and facilitate product development efforts
  • Mentor other software engineers
  • Share technical knowledge and skills throughout the department
  • Proactively suggest changes to the products, processes or internal tools to improve efficiency
  • Raise technical risks to engineering management
  • Provide tier 3 technical support as needed
  • Others as assigned

This position reports to a technical manager within the development team.

Required Qualifications:

  • 6 or more years of ETL/data engineering work experience
  • 3 years of big data development experience
  • Design and coding experience in one of the following languages: Java, Python, Pig or Scala (more than 1 language is a big plus)
  • RDMBS development experience (administration experience a bonus)
  • Experience developing in a distributed computing environment, such as Hadoop (HDFS, Hive, MapReduce), Kafka, Spark, etc.
  • Cloud infrastructure development experience (AWS)
  • Continuous integration and source repository management (Github, Jenkins)
  • Excellent communication skills including documentation
  • Bachelor's degree in computer science or related field or equivalent experience

Each of the following would be a Plus:

  • NoSQL (e.g., search, columnar, graph)
  • Message queues (JMS, Kafka, etc)
  • Virtualization (e.g., Mesos, Docker, Kubernetes)
  • Data visualization tools and software such as Looker, Tableau, BusinessObjects, OBIEE, etc.


Valid Through: 2019-10-10