Positions

Senior Data Engineer - 13623

Woodland Hills, United States

Alpharetta, United States

Chicago, United States

Denver, United States

New York, United States

Pleasanton, United States

Job Summary

As a member of the Data Operations team, you will help advance the platform to allow the organization to make data-driven decisions and improve the product experience. To achieve this, the team currently leverages the power of the Google Cloud Platform and existing open-source technologies.

The team is also responsible for building and operating tools and platforms around data while also promoting best practices around it with a focus on user data privacy. We are looking for a driven, detail-oriented, and passionate engineer to come to join our new Data Operations team.

 

Roles and Responsibility (list in order of importance)  

The Sr. Data Engineer will;

  • Ensure 99.99%+ availability of the services and infrastructure that spans across multiple global datacenters in private and public clouds.
  • Design, build and maintain production data-pipelines (both batch and streaming) that deliver over a billion events with measurable quality within bounds of defined SLA(s)
  • Work with product and engineering managers to build necessary tools to help with their data-related needs
  • Build tools and infrastructure that enables external teams (engineers and analysts) to effectively create efficient data-pipelines
  • Be a champion of the overall strategy for data governance, security, privacy, quality, and retention that will satisfy business policies and requirements
  • Identify, document, and promote best practices
  • Monitor and maintain health, performance, and security of all infrastructure components.
  • Build systems and perform necessary tasks to deliver against committed project timelines.
  • Desire to automate everything
  • Solve real-life problems in a bleeding-edge, high-performance, and high-traffic environment.
  • Maintain documentation and operational knowledge base.
  • Adhere to the change management and other established processes and procedures.
  • Respond to and troubleshoot incidents. Conduct root cause analyses.
  • Evaluate and analyze systems, performance, issues, and metrics to provide recommendations for continuous improvements.
  • Participate in a scheduled 24/7 on-call rotation for second tier support escalations.

 

 

Required Qualifications

Technical/Specialized Knowledge, Skills, and Abilities:

  • 4+ Years of Data engineering experience
  • 4+ years of hands-on experience in working with data, including but not limited to Data Warehouse (DWH) environment with data integration / ETL of large and complex data sets. Building large scale data-processing systems with experience in
  • 2+ years supporting a Saas/Hosting type, critical revenue-generating environment.
  • 2+ years interacting with APIs (REST, SOAP, etc.)
  • Big Data technologies such as MapReduce, Hadoop, Spark, Kafka, or GCP/AWS equivalents
  • Programming experience in SQL and Python or Java
  • Hands-on experience in data modeling, data pipeline design and development
  • Proficient in relational as well as non-relational data stores, methods and approaches.
  • Hands-on problem-solving skills, technical leadership and mentoring qualities
  • Familiarity with scripting and or systems programing languages (e.g. Bash, PowerShell, Chef, Ansible, etc.)
  • Strong written and oral communication skills
  • Ability to participate in On-Call rotation

Other:

  • A minimum of two years of experience in a 24x7 operations organization, deploying and operating complex data infrastructure at scale

 

Preferred Qualifications

  • Experience with scripting and/or systems programming languages (eg: Python, Bash, PowerShell, Chef, etc)
  • Experience with JSON
  • Significant experience with open-source platforms and technologies
  • Experience with Agile software development processes and methodologies
  • Experience with Jira
  • Experience with Google Cloud or similar cloud provider
  • Track record of architecting, developing, implementing robust, distributed online solutions
  • Experience in mixed Windows/Unix/Linux environments

 

Working Conditions

Work is primarily sedentary in nature; no special demands are required.

#LI-NR1
#LI-REMOTE

Senior Data Engineer - 13623

Apply Today