Data Platform Engineer

at ShipHero
🇦🇷 Argentina - Remote
📊 Data🔵 Mid-level

Job description

Hello. We are ShipHero (https://shiphero.com). We have built a software platform entrusted by hundreds of eCommerce companies, large and small to run their operations and we continue to grow. About US$5 billion of eCommerce orders are shipped a year via ShipHero. Our customers sell on Shopify, Amazon, Etsy, eBay, WooCommerce, BigCommerce, and many other platforms. We’re driven to help our customers grow their businesses by providing a platform that solves complex problems, and is engineered to be reliable and fast. We are obsessed with building great technology that is beautiful, easy to use, and is loved by our customers. Our culture also reflects our ethos and belief that by bringing passionate, talented, and great people together – you can do great things.

Our team is fully remote, the company has always been remote. We communicate regularly using video chat and Slack and put a strong emphasis on asynchronous work so people have large chunks of uninterrupted time to focus and do deep work.

About You

  • You understand that great things are accomplished when teams work together.
  • You’ve made many mistakes, and most importantly, have learned from them.
  • You are always eager to learn more and love to try out new solutions on your own.
  • You have solid experience operating and improving the reliability of data storage and processing systems—including relational databases, data warehouses, data lakes, and distributed processing systems. This includes operational optimization such as indexing, query tuning, and monitoring.
  • You’re familiar with stream processing and have worked with tools like Kafka, Kinesis, or are excited to deepen your knowledge in this area.
  • You’ve had hands-on experience setting up and managing data processing infrastructure in AWS or GCP, and you’re comfortable using infrastructure-as-code tools such as Terraform or Ansible.
  • You’re excited to improve data infrastructure and pipelines using Python, Airflow (or similar), Redshift, and dbt to support scalable data initiatives.
  • Experience with the AWS data ecosystem is highly appreciated, including services like Amazon Aurora MySQL, DocumentDB/MongoDB, OpenSearch/ElasticSearch, Redshift, Glue/Spark, MSK/Kafka, Kinesis, Debezium, S3/Apache Hudi, and MWAA/Airflow.

While we understand that all of these points cannot always be considered in one role, combining these skills and a passion for learning and collaboration will help drive success.

The Role

  • Operate, improve, and extend ShipHero’s data infrastructure.
  • Support engineering teams in enhancing the performance of reports, searches, and other data services.
  • Be part of the Platform Team to address performance and reliability challenges in our data systems.
  • Optimize both relational and non-relational databases for performance and scalability.
  • Automate infrastructure management using infrastructure-as-code for consistency, scalability, and repeatability.
  • Operate, improve, and extend ShipHero’s data infrastructure.
  • Rotative On-call rotation 24x7.

The Perks

  • $2.500 so you can buy any equipment you need to be happy at your job
  • 20 days paid vacation + new year & Christmas
  • Conference days don’t count against your vacation days, we want you to stay up-to-date
  • We will pay for courses & conferences, if you learn we all learn
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