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Tier-1 funded startup, mid-level generalist Data Engineer role in metro locations with broad skillset requirements.
Core data engineering skills transfer easily across industries, so background sensitivity is low.
Requires 5+ years and specific distributed data systems and production engineering skills.
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Own and evolve the data architecture for large-scale, high-impact projects enabling critical business decisions and customer experiences.
Design, build, and operate scalable, reliable data pipelines and systems ingesting, transforming, and serving large volumes of data.
Collaborate cross-functionally to translate complex data requirements into robust products, define SLAs, optimize performance, and mentor engineers.
Bachelor's or Master’s degree in Computer Science, Engineering, or related technical field, or equivalent experience.
5+ years of software or data engineering experience building production-grade systems.
Strong programming skills in one or more languages (Go, Java, C++, Python, JavaScript) plus strong SQL expertise.
Experience designing and operating production data pipelines or distributed data systems along with understanding relational/NoSQL database performance and scalability.
Experienced in designing and operating large-scale data platforms, warehouses, or distributed systems with a focus on query optimization and data modeling.
Familiarity with cloud data infrastructure and distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, or Snowflake.
Able to deliver end-to-end projects independently, build reliable testing strategies, and provide technical mentorship to uplift engineering standards.