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Staff Software Engineer - ETL Platform

FivetranUSA - New York
Hybrid Full-time $196K/yr - $245K/yr

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Experience Level

Mid to Senior

Qualifications

Proficiency in at least one interpreted programming language, such as Python or Ruby on Rails. Expertise in at least one compiled programming language, including C++, Kotlin, Scala, Go, or Java. Strong understanding of relational databases; experience with data warehousing solutions like Snowflake is advantageous. Demonstrated experience in system integration, including API development and consumption; familiarity with infrastructure management is a plus. Knowledge of leading cloud platforms such as GCP, AWS, or Azure. Exceptional problem-solving skills and a collaborative mindset.

About the job

Since its inception, Fivetran has remained committed to simplifying and ensuring reliable access to data—much like electricity. With our innovative technology, customer data seamlessly arrives in their warehouses, fully prepared for queries without the need for engineering or maintenance. We take pride in empowering organizations to become data-driven every day.

About the Role

As a leader in building data pipelines for the modern data stack, Fivetran serves thousands of companies. We are seeking a Staff Software Engineer to enhance our ETL Platform team.

Our team manages the core platform supporting Census’ sync engine, ensuring that customer data flows smoothly and reliably. We spearhead projects such as the Sync Tracking overhaul, which allows us to capture, store, and process large datasets, providing customers with complete visibility into their data flow and ensuring accuracy for every record. Additionally, we oversee a dynamic fleet of machines that adapts to our customers' evolving needs, effectively operating as the shadow infrastructure team.

This position is full-time and offers a hybrid work model based in either our New York or Oakland offices.

About Fivetran

Fivetran is a trailblazer in data integration, dedicated to making data accessible and reliable. We believe that organizations should focus on insights and decision-making, not on data engineering. Our platform automates data pipelines, ensuring that businesses can harness the full potential of their data effortlessly.

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