Data Platform Engineer - remote

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timePosted 9 days ago location United States salarySalary undisclosed
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Job Description

  • Our client is supporting companies that have remote call center employees. Their technology is used to increase employee performance.
  • This is a remote-friendly position!

Responsibilities Include:
  • Design and develop data pipelines, ETL, storage solutions, and workflows that are optimized for speed, fault-tolerance, and scalability
  • Work with Application, Machine Learning, and Site Reliability/DevOps engineers to create systems that support their varied data needs while allowing for independent manipulation and iteration of data
  • Define robust data schemas for the rapid intake and processing of customer data with diverse structures
  • Support product-focused engineering teams with data infrastructure, APIs, and scalable deployments
  • Architect and author internal libraries for use by fellow engineers
  • Help create data analytics tools for software telemetry and business intelligence purposes
  • Cultivate a better understanding of data handling best practices across engineering teams
  • Collaborate on security efforts for customer data

Who Will Be a Great Fit?
  • Strong skills with SaaS languages: Should have at least 4 years of experience writing code in one of: Ruby, Go, Python, Scala, Elixir, Java. Should be interested in learning new technologies as well.
  • Strong understanding of relational and non-relational databases such as PostgreSQL, ElasticSearch, and Redis
  • Ability to organize and model data to support many use cases
  • Experience creating and deploying container-based software
  • Familiarity with asynchronous data processing patterns with an added focus on monitoring and logging
  • Prior experience working with AWS or a similar cloud provider
  • A BS/MS in computer science or related field of study, or equivalent experience
  • Ability to communicate ideas to technical and non-technical colleagues

Brian Hughes

Please apply to this opening if it sounds like you are a close fit and would make you excited to come to work every day.

Feel free to forward this job opening to qualified individuals!

Job Requirements:
  • Integrate new data and big data management technologies and software engineering tools
  • Utilize the new big data tools
  • Ensure the data architecture can be extendable for big data solutions
  • Implement data tools to support analytics and data scientist team
  • Breathe data systems architecture engineering
  • Design the data architecture and data integration layers
  • Ensure that data center networks
  • Develop business critical data solutions
  • Manage the migration of data from legacy systems to new data solutions
  • Troubleshoot data processing and regular data loads
  • Integrate new data technologies/tools across the enterprise
  • Evangelize data best practices and implement analytics solutions
  • Discover data across many different systems, data sources, and data types
  • Collect and store big data
  • Executing data center infrastructure engineering projects About AECOM
  • Executing data center infrastructure engineering projects
  • Implement data extraction tools with integration of a variety of data sources and data formats
  • Solve big data problems with smart algorithmic solutions
  • Assist with data-related technical issues
  • Build and integrate data from various resources and manage big data