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Senior Data Engineer

💼 Full-time🗓 2026-07-30

Core

Designing and building high-performance data pipelines and architecture for a modern data platform to enable optimal business decisions.

Role type

Senior Data Engineer

Builds

Data pipelines (streaming, micro-batch, batch), data lakes, and data warehouses

Domain

Cloud data engineering (Google Cloud)

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Data integration architecture, SQL, Python, Google Cloud (BigQuery, GCS, Pub Sub, Data Flow), workflow management (Airflow, Oozie), data format handling (JSON, Parquet, ORC, XML), query tuning, data pipeline maintenance, data policy implementation, mentoring

Preferred skills

Real-time data ingestion (Kafka, Spark, Storm), NoSQL, data visualization tools (Looker, Tableau, PowerBI)

Responsibilities

Own and drive data integration architecture; Design, develop, and deploy high-performance data pipelines; Build aggregate and enriched data sets; Document, maintain, and support data pipelines; Measure and monitor data quality and availability; Implement data policies; Mentor junior data engineers

Seniority

Senior, hands-on IC with mentorship

Rewrite
## About the Role We are building a modern data platform that will allow Willow Innovations the ability to make the most optimal business decisions. We are a growing organization and the Senior Data Engineer will have a huge influence in shaping the data strategy. If you feel a deep sense of ownership for your work, are passionate about data, desire to solve problems, are curious and love learning new things, we'd love to talk to you! ## Roles & Responsibilities - Own and drive data integration architecture involving streaming, micro-batch and batch - Work closely with various business groups to collect business requirements - Design, develop and deploy high performance data pipelines both inbound and outbound - Build aggregate and enriched data sets needed to effectively analyze / visualize data - Document, maintain and support data pipelines - Measure and monitor quality and availability of data - Implement data policies - retention, privacy, security, and compliance - Responsible for maintaining the Data Pipeline framework - Mentor and guide junior data engineers ## Experience ### Must Have - 5+ years of experience in building data lakes and data warehouses - Experience working with Google Cloud, BigQuery, GCS, Pub Sub, Data Flow etc - Expert knowledge on SQL and Python programming - Good understanding of data formats such as JSON, Parquet, ORC, XML, etc - Experience in tuning queries for performance and scalability - Experience working with any workflow management tools (Airflow, Oozie, etc) - Excellent organizational, prioritization and analytical abilities - Strong communication and interpersonal skills ### Nice to Have - Experience in Real Time Data Ingestion using Kafka, Spark, Storm etc - Knowledge of NoSQL - Experience with Data visualization tools such as Looker, Tableau, PowerBI
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