Data Engineer - Experience Data Science (H)

Data Engineer - Experience Data Science 16642 - 133578 (H)

A leading tech company is seeking a Data Engineer - Experience Data Science. The successful candidate will support our data scientists and product teams on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up and is willing to help out with other team data tasks as needed. The company offers a great work environment!

Pay and Benefits:

• Hourly pay: $30/hr.
• Worksite: Leading technology and data solutions company (Remote for candidates in the US. Must work PST hours)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
• 40 hours/week, 9 Month Assignment

Responsibilities:

• Formulate technical requirements, define overarching solution architecture, and document specific tasks for effective, reliable, and GDPR-compliant telemetry data infrastructure built with the company's internal data stack.
• Define and guide partner product engineering teams on the technical standards of the telemetry data pipeline, ensuring high quality and consistent delivery from the partner teams, supporting ease of collaboration and consistency across products.
• Maintain a deep understanding of multiple internal and external data platforms, technologies, and techniques on which to build data logging, storage, analysis, and modeling solutions, and continue to expand and learn as new capabilities emerge.
• Identify and effectively document new, innovative data techniques and standards to expand the capability and value offerings of the Experience Analytics team.
• Regularly review with the Experience Data Science Lead on team structure, process, technical approach, and effectiveness, and implement improvements as necessary.
• Collaborate with other teams within the wider C+AI org, and externally, on shared data-related objectives and solutions.
• Able to help with various one cosmos/Kusto queries as needed.

Qualifications:

• 5-7 years of related work experience.
• 5+ years of industry experience in a data engineering or data solution architect-focused role, ideally within an enterprise-level environment.
• 5+ years of proven experience designing, implementing, and deploying data pipelines - must have proven experience pulling data using Cosmos and/or Kusto and should be able to set up dashboards and telemetry pipelines.
• 5+ years of client-facing experience - candidate must have strong communication skills and should have experience driving projects with teams at various levels of engagement with data/telemetry.
• Bachelor’s degree in computer science or engineering, database systems, mathematics, or 3+ years of industry experience in a data engineering or data solution architect-focused role.
• The ability to be self-directed when it comes to exploring and understanding a dataset, especially when it comes to finding and fixing issues in the data.
• The ability to interact with partners and drive engagement. A large portion of the role will be client-facing so strong communication skills and project management capabilities are a must-have.
• Clear communication and effective collaboration.
• Ability to effectively articulate complex concepts and conclusions to non-experts.
• Prioritizes clean, sustainable engineering practices.
• Additional experience (though not required):
• Project management, collaboration, and organizational skills, guiding product teams to improve data infrastructure.
• Leading or mentoring less experienced engineers or data engineers in partner teams.
• Data Science, machine learning, statistical models, concepts, and application.
• Agile development practices.
• Experience working with product design disciplines.
• Needs to pull data using Cosmos queries (strong in SQL, C#) and Kusto.

This is a remote position.