Senior Data Engineer

Min 5 + years of exp in Java, Scala , Python, Databricks, Airflow, AWS, Snowflake

Job stability is mandatory

Location: Seattle, WA (Only local) (4 Days a week onsite 1 Day Remote)

Basic Qualifications   

• 5+ years of software or data engineering experience

• Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow)

• Demonstrated expertise in modeling data to support business needs at scale

• Strong programming skills in Java, Scala or Python

• Knowledge of data warehouse solutions, including Databricks and Snowflake, with the ability to weigh the tradeoffs when choosing a technology

• You are a problem solver with strong attention to detail and excellent analytical and communication

• skills, who will collaborate to build greenfield solutions with high business value

Preferred Qualifications         

• Understanding of techniques for generating personalized recommendations, and how to prepare data to be consumed by machine learning pipelines

• Experience working with A/B testing, bandits, or other mechanisms for measuring product performance in a controlled fashion

Experience with: Java, Scala, Python, Databricks, Airflow, AWS, Snowflake