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2 часа назад

Senior Data Analytics Engineer (AI)

140 000 - 160 000$
Формат работы
hybrid
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 Data Analytics Engineer (AI): Building trusted data products, analytics platforms, quality reports, visualizations, and AI-powered capabilities with an accent on data integrity, ETL/ELT reliability, anomaly detection, and human-in-the-loop validation. Focus on exploring complex customer data, designing traceable pipelines, evaluating AI/ML outputs, and translating operational findings into clear narratives.

Location: Hybrid role associated with Somerville, Massachusetts and Washington, District of Columbia, United States

Salary: $140,000–$160,000 USD per year

Company

hirify.global develops mission-critical software for securely sharing and analyzing sensitive data, using decentralized architecture, agentic AI, and military-grade access controls.

What you will do

  • Partner with client delivery teams and customers to translate domain knowledge into data infrastructure requirements and resolve data issues.
  • Explore customer datasets, assess their characteristics, and recommend data cleaning and analysis approaches.
  • Build interactive analytics and investigation platforms, data quality reports, statistical analyses, and visualizations.
  • Integrate AI capabilities such as automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces.
  • Design, own, and improve reliable ETL/ELT pipelines, including AI-assisted workflows.
  • Validate AI/ML outputs, implement human-in-the-loop checks, run quality control, and document assumptions and decisions.

Requirements

  • 5+ years of experience in a data-driven role or equivalent, including end-to-end ownership of data initiatives and projects.
  • Bachelor’s or Master’s degree in science, mathematics, engineering, or another data-driven field.
  • Proficiency in Python, R, or an equivalent programming language.
  • Competence in at least three areas including databases, data science libraries, data pipelines, cloud providers, and communicating complex findings.
  • Strong communication skills and a proven record of transforming raw inputs into high-quality, trusted datasets.
  • Ability to learn new technologies quickly and work collaboratively across engineering, data, and client delivery teams.

Nice to have

  • Experience with generative AI tools such as AWS Bedrock or LangChain.
  • Experience with testing frameworks such as pytest.

Culture & Benefits

  • Flexible work options, including working from home as needed and access to three offices.
  • Remote work from eligible locations for up to two months per year.
  • 401(k) plan with up to 5% employer contribution.
  • Fully funded health, vision, and dental coverage from day one, plus family support benefits.
  • Paid parental leave, flexible vacation, Summer Fridays, and an extended December holiday period.
  • Mentoring, learning and development programs, wellness support, commuting benefits, and in-person team events.

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