Staff Data Engineering Lead - Scalable Pipelines

EngineersOfAI

Seattle (WA)

On-site

USD 130,000 - 170,000

Full time

14 days+
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Job summary

EngineersOfAI is looking for a Staff-level Data Engineering Solutions lead to drive data initiatives and manage high-impact projects. The ideal candidate will have significant experience in building and operating data systems with a strong foundation in the latest technologies.

This position emphasizes mentorship within a talented team and collaboration across departments to ensure the reliability and effectiveness of data solutions. Successful candidates will value customer focus and possess a dedication to maintaining high standards of inclusivity and innovation in the workplace.

Qualifications

  • 10+ years of experience in building and operating data systems and pipelines.
  • Strong engineering background and experience with debugging data pipelines.
  • Inquisitive nature to identify and resolve data inconsistencies.
  • Extreme customer focus and collaborative skills.

Responsibilities

  • Lead technical outcomes for a team, mentoring and guiding engineers.
  • Collaborate with recruiting to attract top talent.
  • Deliver efficient, reliable data pipelines.
  • Manage SLAs of data pipelines supporting critical stakeholders.
  • Collaborate to improve datasets and data warehouses.
  • Leverage AI/LLM and Agents to analyze data.
  • Oversee development lifecycle from planning to delivery.
  • Promote a collaborative, inclusive work environment.

Skills

Data pipeline development
Airflow
Spark
Kafka
Flink
SQL

Tools

Distributed data framework
Backend languages (Scala, Java, Go)

Job description

EngineersOfAI is looking for a Staff-level Data Engineering Solutions lead to drive data initiatives and manage high-impact projects. The ideal candidate will have significant experience in building and operating data systems with a strong foundation in the latest technologies.

This position emphasizes mentorship within a talented team and collaboration across departments to ensure the reliability and effectiveness of data solutions. Successful candidates will value customer focus and possess a dedication to maintaining high standards of inclusivity and innovation in the workplace.

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