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Senior Data Engineer
Pattern BioscienceSenior Data Engineer at Pattern architecting data solutions to transform ecommerce using AI and proprietary tech. Tackling petabyte-scale data challenges to accelerate global brand growth.
Tech Stack
Tools & technologiesAmazon RedshiftApacheBigQueryETLKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Architecting and building the very foundation of Pattern's data-driven future.
- Tackling massive, petabyte-scale challenges.
- Transforming raw data into high-octane fuel for AI models and global marketplace strategies.
- Leading high-stakes technical initiatives that directly accelerate growth for global brands.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent experience).
- 7+ years of professional data engineering experience with a heavy focus on ETL/ELT and data modeling.
- 5+ years of expert-level SQL mastery, including window functions, CTEs, and deep performance tuning.
- 4+ years of professional Python development specifically tailored for data pipelines and tooling.
- 3+ years of hands-on experience building/optimizing large-scale data warehouses like Snowflake, BigQuery, or Redshift.
- Proficiency with open-source frameworks such as Apache Spark, Trino, Kafka, and Debezium.
- A "Data Fanatic" mindset with experience handling petabyte-scale diverse datasets.
Benefits
Comp & perks- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLELTdata modelingSQLPythondata pipelinesdata warehousingApache SparkKafka
Soft Skills
leadershipproblem-solvingstrategic thinkingcommunication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data Science