The Role

GRIN is seeking a highly motivated, self-driven, and detail-oriented Sr. Data Engineer to design, develop and build highly scalable data systems. As a Sr. Data Engineer, you will have a high impact in defining data warehouse architecture, the underlying infrastructure, operational workflow, and building data pipelines for both data acquisition & data integration. You should have a demonstrated ability to work horizontally and vertically within our organization while maintaining approachability and humility with your fellow GRINners.

You will be helping to build data processes, foundations, and fundamentals; shaping the way we evangelize data-informed decision making for the entire organization. You will focus on data quality, reliability, observability, performance, and security. This role requires a background in scaling data systems to keep up with a fast-growing product, working with a modern data stack, and implementing infrastructure and pipelines often from scratch.

We are a fast-paced, fun organization going through rapid growth, innovation, and solving technical challenges at an exponential scale. This is a rare opportunity to join a rapid growth startup and experience a career-changing impact on an ambitious tech startup. 

What You’ll Do:

• Collaborate with engineering and analytics teams to shape and drive the tactical and strategic development of data infrastructure, reporting, and analytical applications.
• Design, develop and own ETL pipelines, developing data infrastructure for scalable warehousing to power internal analytics for product and business teams to make data-informed decisions.
• Develop and maintain API integrations
•  Create data tools and platforms to help streamline and automate workflows for the data  team and other teams across the organization
• Create data frameworks and processes to help with data quality, data integrity, data integration, & self-service.
• Continue to improve the performance and reliability of our data warehouse.
• Build robust scalable data processing and data integration pipelines (batch & real-time) using Python, Kafka, Spark, REST API endpoints, and microservices to ingest data from a variety of external data sources to Snowflake.

What You’ll Bring:

• 4+ years of experience in high data volume environments, preferably in the software, internet industry. Graduate work or degree in computer science or engineering is a plus.
• Expertise in gathering and cleaning data across multiple sources via various scripting languages - fluency with Python, No-SQL, and SQL environments preferred.
• Experience with transforming, developing data structures, metadata, dependency, and data workflows to support data analytics and data science 
• Experience with data warehousing and ingestion, data modeling and transformation, code development, and data pipelining. 
• Proficient in at least one distributed SQL framework (Hive, BigQuery, Spark, Snowflake, etc.). 
• Demonstrated experience with web architecture, scaling, debugging code, performance analysis, and writing highly-optimized SQL and python scripts.
• Superior performance in prior roles with increasing levels of responsibility and independence; detail-oriented, demonstrated ability to handle multiple projects and solve complex problems.
• Fluency in project management - leading a project from inception and scoping to execution and postmortem. Flexible, adaptive, quick learner - works well in a collaborative, communicative environment.
• Excellent communication skills, both verbal and written; ability to condense complex information into simple language for the appropriate audience.
• Take initiative to drive projects forward, recommend and implement solutions
• Project manage data projects from inception to completion negotiating requirements and deliverables with key stakeholders
• Excellent communication skills, both verbal and written; ability to condense complex information into simple language for the appropriate audience.