Remote Data Engineer

Description:

• Design, build, and maintain efficient and reliable data pipelines using DBT and Airflow.
• Develop and optimize ETL processes to ensure data quality and integrity in Redshift.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions.
• Implement and maintain data warehousing solutions to support business intelligence and analytics.
• Monitor and troubleshoot data pipeline performance and issues.
• Support current data pipelines and handle requests from internal users, such as changing schemas and adding new data sources.
• Assist in implementing components of a Data Lakehouse architecture using Apache Spark and Apache Iceberg.

Requirements:

• 3+ years experience in a data analytics, data science, or data engineering role.
• Bachelor's degree in computer science, Engineering, or a related field.
• Knowledge of big data technologies (e.g., Apache Iceberg, Spark).
• Minimum of 3 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational databases (e.g., Redshift).
• Strong programming skills in Python.
• Experience with data pipeline and workflow management tools (e.g., Apache Airflow, DBT).
• Strong problem-solving skills and attention to detail.
• Clear and direct communication skills about complex technical topics.
• Passion for building the best version of whatever you’re working on.
• A track record of working autonomously, with strong organizational and time management skills.
• A desire to continually keep up with advancements in data (engineering, analytics, science) team practices.

Benefits:

• Comprehensive healthcare, retirement, and voluntary benefits including medical, dental, vision, health savings accounts, 401k, and more.
• Personalized care and tools for realizing your mental health and wellness goals.
• Company-paid lunch when working in the office.
• Additional benefit perks & discounts.