Full-Time Staff Data Engineer

As a Staff Data Engineer, you'll build and optimize data infrastructure for robust decision-making.

Key Responsibilities:

• Lead design and implementation of high-performance data pipelines using Databricks on AWS.
• Drive innovation and improvements in data engineering practices.
• Develop, maintain, and optimize the data warehouse architecture.
• Collaborate with data scientists and analysts for business intelligence and machine learning.
• Design and build ETL processes to integrate and deliver data from multiple sources.
• Implement tools to monitor and maintain data accuracy and consistency.
• Build automated systems for data quality issues.
• Partner with cross-functional teams to understand data requirements.
• Provide technical guidance and mentorship to junior engineers.
• Continuously monitor platform performance and resolve challenges.
• Create and maintain documentation for pipelines and systems.

Qualifications:

• 8+ years of experience in data engineering.
• Proven track record of building and optimizing data pipelines and warehouses.

Technical Proficiency:

• Expertise in Databricks, AWS, SQL, Python, Spark, and ETL tools like Fivetran.
• Experience with event tracking tools.

Compensation:

• Base Salary: $150k - $170k
• Bonus: 20% of annual earnings

Benefits:

• 401(k) plus match
• Dental insurance
• Health insurance
• Vision insurance
• Paid Time Off

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