Data Engineer - Remote
Remote Data Engineer opportunity available with a leading global Safety & Facilities Services company!
  • Beachwood, OH
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A bit about us:

We are an energized asset performance company serving organizations across the world. We uncover quick, impactful wins for our customers, while also delivering and managing sophisticated safety, reliability, sustainability, and compliance programs. We offer a proven platform that combines advisory, training, technology, and data management to achieve customer goals. As one of the leading asset management companies globally, we provide these capabilities and services in all 50 states and more than 80 countries. Each year, our expert and licensed team inspects, assesses, and supports more than 2,000,000 pieces of equipment – helping organizations in markets ranging from hospitality and pharmaceuticals to food processing and consumer goods improve the performance of their assets, teams, and processes for greater operational and financial impact.

Why join us?

  • Flexible/remote work environment
  • Competitive base salary and overall compensation package
  • 401k with generous company match
  • Full benefits: Medical, Dental, Vision
  • Generous PTO, vacation, sick and holiday schedule

Job Details

We are currently looking for a Sr. Data Engineer to join our growing team. This role will report directly to the VP of Product and CTO. The Data Engineer will be responsible for contributing to the creation of detailed analytics and reporting – this includes the creation of analytical models by providing expert opinions to the integration and processing of data used to drive value and guide business decisions.

  • Participate in technical design, implementation, and problem resolution.
  • Maintain and evolve a rapidly growing and robust data model containing vital customer information.
  • Implement reliable data ingestion solutions from a variety of data sources (API, RDBMS, NoSQL).
  • Define data engineering project feature delivery timelines and risks.
  • Provide mitigation options to solve for blockers and technical risks as they arise.
  • Identify technical debt, and communicate plans to manage it responsibly.

You should know some of the following:
  • PowerBI & PowerBI Embedded Analytics.
  • Experience with Business Intelligence data visualization tools.
  • RDBMS (MSSQL) and/or NoSQL database technologies (MongoDB, Cosmos DB).
  • Azure OR AWS
  • Agile.

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