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Mid-level, popular Data Engineer role in a metro with broad tech requirements increases competition.
Core data engineering skills are broadly transferable, though property/insurance domain knowledge adds moderate bias.
Explicit 6+ years plus mandatory cloud, SQL, BigQuery, Kafka and language skills create high filtering.
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Build, deploy, and operate data architecture and software to capture, manage, and store data from multiple internal and external sources.
Develop and maintain data processes and structures to handle data flows using cloud and local databases, ensuring data integrity and compatibility.
Assist in troubleshooting data pipelines and optimize data delivery workflows with periodic reviews by senior team members.
Bachelor’s degree or equivalent experience in software engineering or related discipline.
6+ years of experience in software development environment relevant to data engineering.
Advanced SQL skills and experience with relational databases such as SQL and Postgres, plus cloud platform experience (AWS, GCP, or Azure).
Experience with cloud data tools including BigQuery, Python programming, and designing large-scale event-driven architectures.
Experienced working in distributed teams coordinating across functions and geographies.
Skilled in root cause analysis on data and processes to inform business improvements.
Familiarity with event-driven architectures, data warehousing, data modeling, and cloud platforms, with ability to assist and mentor junior team members.