Staff Data Infrastructure Engineer at Pattern

Lehi, Utah, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

E-Commerce, TechnologyIndustries

Requirements

8+ years of experience in data infrastructure and/or backend software engineering
Solid experience working with cloud platforms and services such as AWS, Kubernetes, Kafka, and EMR to build and manage scalable data infrastructures
Familiarity with data tools like Snowflake and/or Databricks is a plus
Hands-on experience with data processing engines like Spark is highly desirable
Strong software engineering skills, with the ability to write clean, efficient, and maintainable code in one or more languages like Python, GoLang, Java, Ruby, or C++
Demonstrated ability to solve complex problems, take initiative, and collaborate effectively across teams
Proven leadership abilities and a proactive, "can-do" attitude in managing projects and delivering high-quality results

Responsibilities

Build and maintain scalable, high-performance data infrastructure and platform to support the company's data usage and analytics needs
Design and implement solutions that reduce friction in accessing and using data across the organization
Collaborate cross-functionally with engineering, data, and product teams to ensure the platform meets diverse data requirements
Continuously improve and optimize data pipelines, making data easily accessible and usable for various teams
Invest into automation daily to simplify data infrastructure and platform, continuously improving reliability, security, quality, and performance
Troubleshoot and resolve complex issues in data systems, ensuring smooth operation and data integrity
Stay updated with the latest trends and technologies in data engineering to drive innovation and efficiency in the company’s data infrastructure
Lead design, architecture, and implementation of the next generation of data infrastructure and platform
Innovate proactively, finding solutions that significantly improve data access and infrastructure efficiency
Lead cross-functional efforts to enhance collaboration and optimize platform performance
Deliver scalable infrastructure upgrades that greatly improve the company's ability to harness data effectively
Mentor team members, driving a culture of growth and technical excellence
Set industry-leading best practices, ensuring adoption of cutting-edge technologies and processes

Skills

Key technologies and capabilities for this role

Data InfrastructureScalable SystemsData PlatformsData ArchitectureAnalyticsETLCross-Functional CollaborationHigh-Performance Data Systems

Questions & Answers

Common questions about this position

What is the salary for the Staff Data Infrastructure Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This is a full-time role that works a hybrid schedule based in Lehi, Utah.

What skills and experience are required for this role?

Candidates need 8+ years of experience in data infrastructure and/or backend software engineering, solid experience with cloud platforms like AWS, Kubernetes, Kafka, and EMR, hands-on experience with data processing engines like Spark, and strong software engineering skills. Familiarity with Snowflake or Databricks is a plus.

What is the company culture like at Pattern?

Pattern emphasizes employee experience at the center of its business model, has been recognized as one of Newsweek’s Global Most Loved Workplaces, and values hustle, data obsession, partner success, and innovation in a fast-growing tech environment.

What makes a strong candidate for this Staff Data Infrastructure Engineer role?

A strong candidate will have 8+ years in data infrastructure or backend engineering, experience with AWS, Kubernetes, Kafka, EMR, and Spark, plus strong software engineering skills to lead scalable data platform design and collaborate cross-functionally.

Pattern

Ecommerce acceleration and competitive analysis

About Pattern

Pattern.com focuses on ecommerce acceleration, particularly on Amazon, by providing a free digital shelf management software that analyzes data from millions of searches and products. This tool uses machine learning to give brands insights into their competition, helping them optimize their product listings. Unlike competitors, Pattern.com offers both free tools and premium services, including market insights and consultancy, to help brands grow on Amazon. The company's goal is to empower brands to enhance their visibility and sales on one of the largest online marketplaces.

Lehi, UtahHeadquarters

2013Year Founded

$269.4MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Consulting, Consumer GoodsIndustries

1,001-5,000Employees