Second Measure is building products that leverage de-identified transaction data to help companies better understand consumer spend behavior and propensities, and help investors understand companies’ performance, and consumer spend shifts. We apply advanced data science techniques on large, complex data sets to ensure the highest quality of data and insights.
As a senior data engineer at Second Measure, you will be a critical technical contributor in the team responsible for building, managing data pipelines, and enriching transaction data. Your architectural guidance will allow pipelines to run reliably, to process billions of transactions, and to provide daily updates, so that our high-value clients can formulate their marketing and investment strategies.
In this role, you’ll:
Our Tech Stack/Development Tools:
S3, Hive Metastore, Spark, Presto, AWS SNS, SQS, EKS, ECR, Batch Terraform, Helm, Prometheus, Grafana, Go, Python, Scala, Redshift, Waggledance, Argo, Github, CircleCI, Docker
Have questions about why/how we use these? Let’s talk!
Working at Second Measure:
*Note on remote ability:
We are all working from home at least through 2020 to keep our team safe and healthy. We hope to (at some point) to work from our San Mateo, CA HQ or NYC office in some capacity in 2021 and it would be great if you are based in the Bay Area or NYC. That said, we are open to remote on a permanent basis, granted you would need to be based in one of the following states: AL, CA, CO, IL, NJ, NY, or WA.
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