Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies in the US to the top of the list.
Pattern is the leader in global e-commerce and marketplace acceleration, headquartered in Utah’s Silicon Slopes tech hub—with offices in Asia, Australia, Europe, and the Middle East. Hundreds of global brands — including Bosch, Nestlé, Stance, TUMI, and Panasonic — rely on the company’s e-commerce acceleration platform to grow their online sales on direct-to-consumer websites, online marketplaces, and other digital channels in more than 60 countries, all while managing fulfillment and logistics. With last year’s revenue exceeding $1 Billion, Pattern has been named one of the fastest growing tech companies in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
We are seeking a scrappy and motivated Data Engineer to join our growing team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data pipelines, manage and optimize data flows, and support data-driven decision-making processes. This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise.
This is a full-time role and will work a hybrid schedule in Lehi, Utah.

REQUIRED QUALIFICATIONS

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• Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience.

• 3-5 years of experience working with SQL.
• Familiarity with implementing modern data architecture-based data warehouses.
• Familiarity with data warehouses such as Redshift, BigQuery, or Snowflake and understanding of data architecture design.
• Strong communication skills (both in presentation and comprehension).
• Exposure to data visualization tools like Tableau or ThoughtSpot.

PREFERRED QUALIFICATIONS

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• Experience working with time series databases.

• Experience with SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
• Knowledge of Snowflake.
• Familiarity with Big Data, non-relational databases, Machine Learning and Data Mining.
• Familiarity with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue.
• Familiarity with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch.
• Understanding of Data Quality and Data Governance.

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• Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.

• Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures.
• Collaborate with technology teams and partners to specify data requirements and provide access to data.
• Tune application and query performance using profiling tools and SQL or other relevant query languages.
• Understand business, operations, and analytics requirements for data
• Build data expertise and own data quality for assigned areas of ownership.
• Work with data infrastructure to triage issues and drive to resolution.