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2 часа назад

Senior Analytics Engineer I

101 600 - 127 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Analytics Engineer I (Data Engineering/BI): Designing scalable data architectures, metadata-driven pipelines, enterprise data models, and KPI frameworks with an accent on SQL, dbt, ETL/ELT, Power BI, cloud platforms, and data governance. Focus on optimizing enterprise-scale performance, establishing engineering standards, leading data quality remediation, and mentoring engineers in an onsite US aerospace environment.

Location: Onsite at hirify.global’s global headquarters in Long Beach, California, United States

Base salary: $101,600–$127,000 USD per year

Company

hirify.global is an aerospace company building rockets, spacecraft, and critical subsystems for missions extending from Earth to the Moon, Mars, and beyond.

What you will do

  • Design scalable data architectures, metadata-driven pipelines, and enterprise data models across multiple subject areas.
  • Build and optimize data solutions using SQL, dbt, Azure Data Factory, SSIS, Databricks, Python, and streaming or real-time data patterns.
  • Lead analytical initiatives, KPI frameworks, semantic layers, and enterprise BI models using Power BI, Tableau, and Grafana.
  • Implement data governance, metadata management, privacy policies, retention standards, and data quality remediation processes.
  • Review SQL, dbt, Python, DAX, and M Query code and mentor junior engineers.
  • Partner with business leaders and Director-level stakeholders on technical solutions, architecture reviews, sprint planning, and roadmap development.

Requirements

  • 5+ years of experience in analytics engineering or data platform development, with a bachelor’s degree or equivalent experience and a high school diploma or GED.
  • Expertise in data modeling and architecture across multiple subject areas.
  • Experience with Azure Data Factory, SSIS, Databricks, dbt or modern open-source ETL/ELT tools, Kubernetes, Power BI, DAX, M Query, TDML, and semantic layers.
  • Cloud platform experience with Azure or AWS.
  • Technical leadership experience, including establishing standards and mentoring engineers.
  • US citizenship is required due to program requirements; US space technology export regulations also apply.

Nice to have

  • Advanced SQL skills, including execution plans, indexing, and performance tuning.
  • PowerApps or Power Automate experience.
  • Microsoft Azure, AWS, or BI data warehouse certifications.
  • Cloud computing and deployment experience.
  • Strong communication, problem-solving, and analytical skills.

Culture & Benefits

  • Fast-paced environment focused on innovation, teamwork, accountability, and delivering under tight deadlines.
  • Medical HMO and PPO coverage, including a company-sponsored HSA option, plus dental and vision insurance.
  • Three weeks of paid vacation, five sick days, paid holidays, parental leave, disability insurance, and life insurance.
  • 401(k) retirement plan with company match and discounted employee stock purchase program.
  • Onsite gym, subsidized EV charging, food and drinks, and additional employee discounts.

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