Everstream AnalyticsEA

Principal Data Engineer

Everstream Analytics provides a supply chain risk management platform using AI and predictive analytics to help businesses build smarter, more autonomous, and sustainable supply chains.

Everstream Analytics

Employee count: 201-500

Canada only

We keep the world moving by keeping risk out of the way.

Everstream Analytics risk scores and predictive insights set the world’s supply chain standard, helping global companies turn supply chains into business-changing, market-shifting, competition-crushing assets. Removing the traditional blinders of traditional data – we offer more complete information, sharper analysis, and accurate predictions. Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on Everstream Analytics to push their supply chains to be faster, smarter, safer, and sustainable!

What Matters Most to Everstreamers

Doing our best, no matter what challenges lie in front of us. We’re sharp, focused, determined, and as a team, we’re unstoppable. Of course, we have values like “integrity” and “honesty”—that’s a given—but our core values run deeper:

Audacity | We are bold. We break through the status quo and do what others haven’t, can’t or won’t

Grit | We get the job done and keep going, so our customers can do the same

Optimism | We have a can-do attitude, and instead of saying “no”, we figure out how

Virtue | We do what’s right, the right way—especially when it’s difficult

Solidarity | When we celebrate each other and our differences, we all do better

Job Description:

As a PrincipalData Engineer at Everstream Analytics, you will play a critical role in building and maintaining our data infrastructure. You will work with a team of talented engineers to design, develop, and optimize data pipelines and data products that support our multi-tenant cloud-native data platform, leveraging various AWS services such as Lambda, EMR, S3, Glue and Redshift as well as helping drive our future toolset. Your expertise in distributed system design, data warehousing, and stream processing is essential in ensuring the scalability, reliability, and efficiency of our data infrastructure.

Key Responsibilities:

  • Architect, Develop and “Own” Data and Data Pipelines: Design, implement, and maintain data pipelines that handle large volumes of data from various sources, ensuring data quality, integrity, and availability.
  • Manage team planning, priorities, and deliverables using Agile methodologies.
  • AWS Expertise: Utilize AWS services like Lambda, EMR, S3, Glue, and others to create scalable and cost-effective data solutions.
  • Relational Database Experience: Utilize PostgreSQL on RDS or similar database technologies, where applicable.
  • Graph Database Experience: Utilize Neo4j or other graph databases for specialized data processing and analysis, where applicable.
  • Stream Processing: Experience with Apache Kafka, Apache Spark or similar for real-time data processing and stream analytics.
  • Python Development: Primarily use Python for data engineering tasks, data transformation, and ETL processes.
  • Data Warehousing: Implement and manage data warehousing and/or data lake solutions for efficient data storage and retrieval to support engineering, data science, applications, and groups across our organization.
  • Collaboration: Work closely with Product Management, Data Science, and the leadership team to understand data requirements and deliver data solutions that meet business needs.
  • Monitoring and Optimization: Continuously monitor the performance of data pipelines and optimize for scalability and efficiency.
  • Documentation: Maintain comprehensive documentation for data engineering processes, ensuring knowledge transfer within the team.
  • Leadership: Lead by example within the data engineering team, taking pride in your team’s deliverables, and performing as technical lead for a scrum team or on various projects, where applicable.

Qualifications:

  • 7+ years experience leading large scale Data Engineering projects.
  • Proven experience in designing and building multi-tenant cloud-native data platforms in a SaaS or PaaS environment.
  • Experience with both relational and graph database technologies in a production environment, Specifically PosgreSQL and Neo4j
  • Strong expertise in AWS services, including Lambda, EMR, S3, Glue, Apache Airflow or similar tools and services.
  • Proficiency in distributed system design, data warehousing, data lakes, and stream processing using Spark or similar.
  • Strong programming skills in Python.
  • Excellent problem-solving and troubleshooting skills.
  • Ability to work collaboratively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Data Engineering, related field, or equivalent experience.

100% Remote Position to be based in Canada (Ontario, Quebec, Halifax).

(M/F/D)

Thanks to our remarkable people we are at the forefront of change and bringing cutting-edge products and services to market. We focus on growth, so our people, our business, and our customers can achieve their full potential. It takes determination, focus, and resilience to scale a high-growth, global business. We're looking for people intrinsically driven to create, build, solve, and push boundaries to deliver the unrivaled innovation and service our clients know and love. Everstreamers aren't afraid of ambiguity, changing priorities, shifting org structures, or pivoting to new strategies. They thrive on change and put in the effort to achieve the seemingly impossible. It isn't always easy, but it's always worth it. Does this sound like you? Grow your career at Everstream.

About the job

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Job type

Full Time

Experience level

Senior
Manager

Location requirements

Hiring timezones

Canada +/- 0 hours

About Everstream Analytics

Learn more about Everstream Analytics and their company culture.

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Everstream Analytics traces its roots back to the formation of Resilience360 in 2012 and Riskpulse. Resilience360 was spun out from DHL in 2018. In 2020, Resilience360 merged with Riskpulse, a weather analysis company. This combined entity was then rebranded as Everstream Analytics in March 2021. The company's mission from the outset has been to empower businesses with the insights needed to navigate the complexities of global supply chains. What began as an initiative to provide predictive insights has evolved into a comprehensive platform applying artificial intelligence and predictive analytics to a vast proprietary dataset.

The journey has been marked by significant growth and innovation. In 2022, Everstream Analytics secured $24 million in Series A funding, with notable investors including Morgan Stanley Investment Management, Columbia Capital, StepStone Group, and DHL. This funding fueled further development of its technology and expansion of its global reach. The company continued its growth trajectory, and in April 2023, it closed a $50M Series B funding round. Throughout its evolution, Everstream Analytics has focused on delivering predictive insights and risk analytics that enable businesses to create smarter, more autonomous, and sustainable supply chains. The platform integrates with procurement, logistics, and business continuity systems, providing complete information, sharper analysis, and accurate predictions to transform the supply chain into a strategic business asset. Today, some of the world's most influential companies, including Google, Schneider Electric, Unilever, DuPont, AB InBev, Whirlpool, and Danone, rely on Everstream Analytics to build resilient and ethical supply chains. The company continues to push the boundaries of AI innovation, solidifying its position as a leader in end-to-end supply chain intelligence.

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Everstream Analytics hiring Principal Data Engineer • Remote (Work from Home) | Himalayas