Sr. Data Engineer (Remote)

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Requirements:

• 3+ years of production-level experience within an organization using AWS infrastructure as code using CDK, SDK, and/or Terraform, Python, SQL, and Git.
• Bachelor’s degree or above in quantitative or engineering fields (Computer Science, Statistics, Data Science, Mathematics or similar).
• Experience orchestrating production and development data pipelines integrated with data quality tests.
• Experience with application interfaces and APIs to ensure data output is easily ingested by other systems and processes.
• Experience measuring and monitoring data validity, accuracy, consistency, timeliness, and relevance.

Responsibilities:

• Work cross-functionally with data scientists, engineers, and product owners to understand, propose, implement, and orchestrate data pipelines and quality monitoring.
• Develop and mature our data infrastructure and processes by developing foundational data models across products, operations, and finance.
• Curate an analytic tier of valid, reliable data to fuel analytic research and development.
• Prioritize data governance, quality monitoring, and documentation.
• Be innately curious with a bias for action to develop solutions that balance speed and scale.
• Foster a data-driven culture through training and documentation.
• Mentor junior Analytic Engineers.