At Anvyl we are on a mission to make bringing products to life easier. We believe everyone should be able to make the physical products they want to see in the world and no one should be left out because finding suppliers, scaling up production, or paying for goods is too hard. So we’re building software where brands manage suppliers, oversee production, and track in-depth product data from procurement to delivery of inbound goods. It saves hours a day of manual work, reduces supply chain costs, and provides actionable data on supplier activity throughout sourcing, production, and the product lifecycle. These tools fuel and empower the most important relationships you have - the ones with your suppliers. We are looking for an experienced and self-motivated Data Engineer to join the Insights team at Anvyl. You will collaborate with skilled designers, data scientists, and data engineers to deliver data products for modern supply chains managed on Anvyl. You should demonstrate a deep understanding of data engineering principles and core CS fundamentals, curiosity, data fluency, and a collaborative work ethic.

What You'll Do

• Build products that unlock supply chain insights using data
• Develop ETL/ELT jobs and pipelines to ingest, clean, and model data

• Work with cutting edge technologies, like Prefect, Kafka, Dask, Kubernetes, and BigQuery

• Scrape, gather, and integrate data from external sources
• Design, architect, and implement data infrastructure for easier automation and greater scalability
• Develop processes to improve code and data quality

What We’d Love to See:

• Strong coding skills in Python and SQL
• 4+ years experience with object-oriented programming languages
• 4+ years experience in custom ETL/ELT design, implementation and maintenance.
• You know how to work with large data sets, and distributed systems
• You have used one or more high-level JVM-based processing frameworks such as Kafka, Beam, Dataflow, Spark, or something we didn’t list- but not just Pig/Hive/BigQuery/other SQL-like abstractions.
• You have proven understanding about data modeling, data access, and data storage, caching, replication, and optimization techniques.
• You have worked in a cloud-native (GCP preferred) development and production environment where all CI/CD take place
• You care about agile software processes, data development, reliability, and responsible experimentation.
• You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.
• You have data wrangling skills and can easily handle complex datasets using SQL, including complex joins.
• You are comfortable owning your project timelines, prioritizing tasks with user and business impact in mind, assessing speed/precision tradeoffs, and proactively communicating project statuses to stakeholders and teammates
• You work well collaboratively, both in a technical and cross-functional context.
• You are curious and excited to learn new methods, approaches and perspectives, and are eager to investigate interesting trends in the data

Example projects you could work on at Anvyl:

• Develop MLOPS pipelines to streamline development and deployment of ML models
• Develop data infrastructure to support data testing, automation, and ELT/ETL
• Discover and integrate data from external sources to form the foundation of a new Data Product
• Create data models to support rapid feature development and reduce code repetition
• Streamline deployment and testing processes

What we value:

• Desire to learn and grow
• Bias towards action
• Team-oriented attitude, you derive joy from seeing others succeed
• Enthusiasm for, and interest in, how technology impacts the physical world we live in
• Great restaurant recommendations!

We are a team that believes in cooperation, learning, quality, and putting our people and customers up front. We are a small company offering large company benefits - health, dental, and vision offerings, 401k availability, and many more perks. We are a remote company and want to make sure our employees have the flexibility to do their work where they feel best, and know that they can step away to recharge with our unlimited paid time away.

We are a diverse team spanning all professions, cultures, races, gender, and orientations. Our teammates are located across the country as well as in China, giving us a truly global footprint. We enjoy spending time together in person when - especially if there is Korean BBQ - or having a group brain-storming session on the next product innovation.

#LI-Remote