Hybrid Data Engineer - Scalable Pipelines & Infra

Advisory Solutions LLC

St. Louis (MO)

On-site

USD 87,000 - 129,000

Full time

11 days ago

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Benefits offered by this job

Mentorship
Benefits suite
Flexible scheduling

Job summary

Advisory Solutions LLC in St. Louis, MO is seeking a Data Engineer to accelerate our product roadmap. The role focuses on building and managing data pipelines, configuring infrastructure as code, and integrating third-party services into our stack.

You will work in a hybrid environment with mentorship, a comprehensive benefits suite, and schedules that bend around St. Louis living. The ideal candidate has 7+ years of technology experience and can translate TensorFlow complexity for non-technical

Qualifications

  • Demonstrated knack for making the high-energy feel manageable.
  • Track record that proves you can quietly-excellent ship under deadline pressure.
  • Comfort with hybrid arrangements and the rhythms of a make-it-better workplace.
  • Resilience measured across 7 years of technology cycles.
  • Experience translating TensorFlow complexity for a non-technical audience.
  • A track record of remote-native delivery in a hybrid structure.

Responsibilities

  • Configure and manage infrastructure as code across staging and production
  • Integrate third-party services and internal tools into the Advisory Solutions LLC stack
  • Stitch Excel events into the SQL pipeline feeding Advisory Solutions LLC's technology reports
  • Trace a technology number back through Stress Management services until it finally adds up
  • Wrangle dbt config across environments so St. Louis staging mirrors production
  • Defend Advisory Solutions LLC uptime through the 2 a.m. St. Louis pages nobody volunteers for

Job description

Advisory Solutions LLC in St. Louis, MO is seeking a Data Engineer to accelerate our product roadmap. The role focuses on building and managing data pipelines, configuring infrastructure as code, and integrating third-party services into our stack.

You will work in a hybrid environment with mentorship, a comprehensive benefits suite, and schedules that bend around St. Louis living. The ideal candidate has 7+ years of technology experience and can translate TensorFlow complexity for non-technical

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