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22 часа Π½Π°Π·Π°Π΄

Senior Engineer, Analytics (AI/ML)

113Β 000 - 141Β 525$
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Senior Engineer, Analytics (AI/ML): Building data warehouses, operational data pipelines, dashboards, and automated reporting solutions for solar, wind, and energy storage operations with an accent on data quality, SCADA/DAS integration, and scalable analytics infrastructure. Focus on designing reliable GCP data workflows, supporting AI/Machine Learning initiatives, and improving analytics for clean energy assets.

Location: US, Louisville, CO; up to 5–10% travel to partner offices and project locations

Salary: $113,000–$141,525/year, plus annual bonus

Company

hirify.global is a global power company focused on accelerating a safer and greener energy future through renewable energy and electricity generation.

What you will do

  • Design, build, and maintain data warehouses, data pipelines, analytics datasets, dashboards, and automated reporting solutions for Operations and Maintenance.
  • Establish data quality, governance, validation, and system performance frameworks.
  • Ensure reliable ingestion and processing of operational data from SCADA, DAS, and external sources into the GCP data lake.
  • Own and administer core data engineering and analytics platforms and provide technical support for production reporting systems.
  • Collaborate with Analytics Engineering, O&M Engineering, Digital, Operations Technology, and Data Engineering teams to deliver scalable data products.
  • Participate in AI/Machine Learning initiatives and improve data quality and utilization across clean energy assets.

Requirements

  • Undergraduate degree in Engineering, Computer Science, or an equivalent technical field, plus 5+ years of experience in analytics-focused or engineering roles.
  • Advanced proficiency with R, Python, or SAS, and SQL.
  • Advanced experience developing reports and dashboards with Power BI, Tableau, Qlik Sense, or comparable BI software.
  • Strong familiarity with DAS and SCADA systems, data architectures, data models, and scalable ETL/ELT pipelines.
  • Experience with Google Cloud Platform, BigQuery, or another cloud platform, and with tools such as dbt, Prefect, or Airflow.
  • Strong analytical, problem-solving, communication, planning, and task-management skills, with a commitment to quality and safety.

Nice to have

  • Advanced degree in Engineering, Computer Science, Data Science, or an equivalent field.
  • Technical experience with Solar PV, wind, and energy storage systems.
  • Experience with AI/ML-enabled analytics, including LLMs, RAG, and anomaly detection.
  • Spanish language skills.

Culture & Benefits

  • Work with cross-functional teams supporting the growth of a global clean energy portfolio.
  • Medical, dental, and vision coverage.
  • Life insurance, 401(k) eligibility, and paid time off including vacation, sick leave, and parental leave.
  • Annual bonus opportunity.
  • Employment is offered on an at-will basis.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’