Data Engineer

Job Description:

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 premier partner for global ecommerce acceleration and is headquartered in Utah's Silicon Slopes tech hub—with offices in Asia, Australia, Europe, the Middle East, and North America. Valued at $2 billion, Pattern has been named one of the fastest growing tech companies in North America by Deloitte and one of best-led companies in America by Inc. More than 100 global brands—like Nestle, Sylvania, Kong, Panasonic, Sorel, and Pandora—rely on Pattern's global ecommerce acceleration platform to scale their business around the world. We place employee experience at the center of our business model and have been recognized as one of America's 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

• 2+ 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

Sounds great! What’s the company culture?

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 u