A hybrid Data & ML role at Pattern.
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Original listing text, shown exactly as published by the company.
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Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent experience).
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7+ years of professional data engineering experience with a heavy focus on ETL/ELT and data modeling.
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5+ years of expert-level SQL mastery, including window functions, CTEs, and deep performance tuning.
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4+ years of professional Python development specifically tailored for data pipelines and tooling.
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3+ years of hands-on experience building/optimizing large-scale data warehouses like Snowflake, BigQuery, or Redshift.
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Proficiency with open-source frameworks such as Apache Spark, Trino, Kafka, and Debezium.
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A "Data Fanatic" mindset with experience handling petabyte-scale diverse datasets.
What does high performance look like?
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Successfully executing the migration or optimization of massive data streams with zero downtime.
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Consistently delivering clean, well-documented, and high-quality code that sets the standard for the engineering team.
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Acting as a 'Doer' by taking the initiative to resolve platform bottlenecks before they impact partners.
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Elevating the technical bar of the team through mentorship and the introduction of innovative engineering practices.
What is my potential for career growth?
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Opportunity to lead major architectural shifts within a rapidly expanding global tech company.
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Regular networking and collaboration with high-level technical leadership and AI experts.
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Upward mobility toward Staff Data Engineer or specialized technical leadership roles.
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Continuous learning opportunities with cutting-edge technologies like Apache Iceberg and real-time streaming architectures.
What does success look like in the first 30, 60, 90 days?
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30 Days: Complete onboarding, gain a deep understanding of current data architectures, and begin contributing to existing projects.
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60 Days: Identify and implement at least one major performance optimization within the data environment and lead a small-scale pipeline project.
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90 Days: Take responsibility for a significant segment of data processes, collaborating with other engineers and contributing to the long-term roadmap for lakehouse integration.
What is the team like?
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This role reports directly to the Director of Data Engineering.
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You will be joining a growing team of data professionals that span multiple geographies.
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In this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing and Sales.
Pattern
Data & ML
67 open roles on Sydicom
Pattern is a global e-commerce acceleration company that helps brands grow their online sales and presence across major digital marketplaces. They provide a suite of services and technology solutions to manage and optimize marketplace performance worldwide.
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