Pattern is a leading eCommerce data and growth company located in the Silicon Slopes tech hub with global offices in Europe, China, Australia, the Middle East, and Canada.
Named one of the fastest-growing companies in the US by Inc. 500, Pattern has made its mark in the industry. Some of the biggest consumer brands like Skullcandy, Nestle, Clorox, Kong, Panasonic, Tumi, and PopSockets trust Pattern with their business.
Pattern has recruited talent from brands like Amazon, eBay, Adobe, Pepsico, Apple, Google, and Oracle.
Pattern values data and the engineering required to take full advantage of it. As a Data Engineer at Pattern, you will be working on business problems that have a huge impact on how the company maintains our competitive edge.
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 language
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
Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
3+ years of experience working with SQL
3+ years of experience in implementing modern data architecture-based data warehouses
2+ years of experience working with data warehouses such as Redshift, BigQuery, or Snowflake and understand data architecture design
Excellent software engineering and scripting knowledge
Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics
Expertise with data systems working with massive data sets from various data sources
Ability to lead a team of Data Engineers
Experience working with time series databases
Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic / windowing functions, and tuning
Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks
Background in Big Data, non-relational databases, Machine Learning and Data Mining
Experience with cloud-based technologies including SNS, SQS, SES, S3, Lambda, and Glue
Experience with modern data platforms like Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or ElasticSearch
Expertise in 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