Senior Data & Analytics Engineer II

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Requirements:

• 8+ years of experience in data engineering, analytics engineering, or related fields.
• Strong experience with cloud-based data warehouses (Redshift, Snowflake, or BigQuery) and query performance optimization.
• Expertise in SQL, Python, and data transformation frameworks like dbt.
• Experience building scalable data pipelines with modern orchestration tools (Airflow, MWAA, Dagster, etc.).
• Knowledge of real-time streaming architectures (Kafka, Kinesis, etc.) and event-based telemetry best practices.
• Experience working with business intelligence tools (e.g. Looker) and enabling self-serve analytics.
• Ability to drive cost-efficient and scalable data solutions, balancing performance with resource management.
• Familiarity with machine learning operations (MLOps) and experimentation tooling is a plus.

Responsibilities:

• Develop, own and improve Kickstarter’s data architecture—optimize our Redshift warehouse, implement best practices for data storage, processing, and orchestration.
• Design and build scalable ETL/ELT pipelines to transform raw data into clean, usable datasets for analytics, product insights, and machine learning applications.
• Enhance data accessibility and self-service analytics by improving Looker models and enabling better organizational data literacy.
• Support real-time data needs by optimizing event-based telemetry and integrating new data streams to fuel new products, personalization, recommendations, and fraud detection.
• Lead cost optimization efforts—identify and implement more efficient processes and tools to lower costs.
• Drive data governance and security best practices—ensure data integrity, access controls, and proper lineage tracking.
• Collaborate across teams to ensure data solutions align with product, growth, and business intelligence needs.