Senior Data Engineer

April 12

Anaconda, Inc.

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Anaconda is the world’s most popular and trusted Python/R platform for data science, machine learning, and AI.

Big Data Analytics • Python • SciPy • NumPy • Python Training

51 - 200

Description

• Anaconda is seeking a talented Senior Data Engineer to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning. • Create and manage tooling and infrastructure for Anaconda’s data platform. • Identify and implement process improvements: designing infrastructure that scales, automating manual processes, etc. • Drive database design and the underlying information architecture, transformation logic, and efficient query development to support our growing data needs. • Implement testing and observability across the data infrastructure to ensure data quality from raw sources to downstream models. • Write documentation that supports code maintainability. • Take ownership of the various tasks that will allow us to maintain high-quality data; ingestion, validation, transformation, enrichment, mapping, storage, etc. • Work closely with Product teams to anticipate and support changes to the data. • Work with Strategic Operations and Platform teams to build reliable, scalable tooling for analysis and experimentation. • Values collaboration and is very comfortable with pair programming

Requirements

• 6+ years of relevant experience as a data engineer or significantly related work • Foundation & proficiency in Python • Experience in building, optimizing, and maintaining data architectures • Experience building ELT pipelines • Experience with Airflow, Prefect, or other orchestration tools • Cloud experience, i.e. AWS, Azure, GCP • Experience with Infrastructure as code, Terraform or CloudFormation, Ansible • Database experience with relational and non-relational data stores • Experience working with large data sets, and an understanding of how to write code that leverages the parallel capabilities of Python and database platforms • Strong knowledge of database performance concepts like indices, segmentation, projections, and partitions • Experience leading projects with Engineering and Product teams from start to finish • Team attitude: “I am not done, until WE are done” • Ability & Humility • Innovation & Action • Empathy & Connection • Care deeply about fostering an environment where people of all backgrounds and experiences can flourish • Experience with Kafka or other event-streaming technologies • Experience with Snowflake • Experience working in a fast-paced startup environment • Experience working in an open-source or data science-oriented company

Benefits

• Unique opportunity to translate strong open-source adoption and user enthusiasm into commercial product growth • Dynamic company that rewards high performers • On the cutting edge of enterprise application of data science, machine learning and AI • Collaborative team environment that values multiple perspectives and clear thinking • Employees-first culture • Flexible working hours • Medical*, Dental*, Vision*, HSA*, Life* and 401K* • Paid parental leave - both parents • Monthly productivity stipend • Pre-IPO stock options • Open vacation policy* • Quarterly Snake days (company-wide bonus day off) • 100% remote *FTE employees based on region