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Remote, generalist Data Engineer title, and broad cloud+BI skillset create high applicant competition.
Core data engineering skills transfer across industries, though LookML/GA4 specialization adds moderate bias.
Explicit 7+ years plus mandatory cloud, BigQuery, LookML, and infra skills make shortlisting strict.
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Build and maintain end-to-end data pipelines and ingestion connectors across AWS and GCP environments, ensuring reliability and maintainability.
Design and implement data models and LookML layers that accurately reflect business operations to serve analytics and business teams.
Own technical execution and decision-making for data engineering projects with minimal supervision, proactively recommending infrastructure improvements based on business impact.
7+ years of hands-on data engineering experience with production pipeline and data model development.
Proven experience working with both AWS (S3, Lambda, EventBridge, Athena, AppFlow) and GCP (BigQuery) data platforms.
Bachelor's degree in quantitative field such as Mathematics, Statistics, Computer Science, Economics, or Engineering required.
Work Experience Required: 7+ years explicitly mentioned.
Experienced in building and evolving data infrastructure from limited or emerging foundations rather than mature systems.
Comfortable with autonomous work in environments with incomplete specifications, able to make technical decisions aligned with business priorities.
Strong technical expertise combined with business awareness to communicate tradeoffs and outcomes clearly to both technical and non-technical stakeholders.