Champion data accessibility and empower colleagues to use data effectively
Design and maintain data pipelines with high observability and reliability
Identify and implement process improvements, including automating tasks and optimizing data delivery
Required Qualifications
2-3 years of professional data engineering experience and a graduate degree in a related quantitative field
Advanced proficiency in Python and SQL; experience using dbt to build data pipelines
Expertise with relational, NoSQL, and cloud database technologies
Hands-on experience with Databricks and strong knowledge of data warehousing concepts
Experience working with cross-functional teams in a dynamic environment
Average salary estimate
$85000
/ YEARLY (est.)
min
max
$70000K
$100000K
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