The Role
Design, build, and maintain scalable, real-time data pipelines into the data lake/warehouse. Ensure data quality via audits, troubleshoot large-scale workflows, optimize queries, collaborate with cross-functional teams, and support data-driven decision-making.
Summary Generated by Built In
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 headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered 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.
Essential Duties and Responsibilities
- 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.
Required Qualifications
- 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
- 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.
Our Core Values
- Data Fanatics: Our edge is always found in the data.
- Partner Obsessed: We are obsessed with partner success.
- Team of Doers: We have a bias for action.
- Game Changers: We encourage innovation.
We are looking for individuals who are:
- Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
- Team of Doers- Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
- Initial phone interview with Pattern’s talent acquisition team
- Technical Interview with a member of the team
- Video interview with a hiring manager
- Professional reference checks
- Executive review
- Offer
How can I stand out as an applicant?
- Be prepared to talk about professional accomplishments with specific data to quantify examples.
- Be ready to talk about how you can add value and be the best addition to the team.
- Focus on mentioning how you would be partner obsessed at Pattern.
- Be prepared to talk about any side projects related to data and analytics.
Why should I work at Pattern?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Skills Required
- Bachelor's degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, or equivalent 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 (presentation and comprehension).
- Exposure to data visualization tools like Tableau or ThoughtSpot.
- Experience working with time series databases.
- Advanced SQL skills including 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.
Pattern Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pattern and has not been reviewed or approved by Pattern.
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Equity Value & Accessibility — Equity is broadly offered and described as generous, with RSU sharing and access to stock included in total compensation. Equity availability is positioned as a core element for employees across the company.
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Leave & Time Off Breadth — Unlimited PTO, paid holidays, paid parental leave, and paid sick days indicate a wide-ranging time-off policy. These offerings create breadth for both vacation needs and family-related leave.
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Retirement Support — A 401(k) with a fully vested company match from day one (up to 4%) strengthens long-term financial security. Immediate vesting underscores emphasis on retirement benefits.
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The Company
What We Do
Pattern operates as a worldwide e-commerce growth, protection, control, and distribution platform for brands. Pattern® provides a proven blend of marketplace analytics, product distribution, MAP compliance, and brand management to drive ecommerce acceleration for premium brands. We thrive on high energy, professional excellence, and disciplined creativity.
