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Data Analytics Engineer (AI)

100 000 - 130 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Analytics Engineer (AI) (Python/SQL/ETL): Building AI-powered data products, interactive analytics platforms, data quality reports, statistical analyses, and visualizations with an accent on trusted datasets, reliable pipelines, and human-in-the-loop AI validation. Focus on designing ETL/ELT workflows, detecting anomalies, evaluating AI/ML outputs, and translating complex operational data into clear customer narratives.

Location: Somerville, Massachusetts, United States. Hybrid work with flexibility to work from home as needed and access to three offices; remote work from eligible locations is available for up to two months per year.

Salary: $100,000–$130,000 USD per year.

Company

hirify.global develops mission-critical software for sharing and analyzing sensitive data while preserving security, control, and data sovereignty.

What you will do

  • Partner with customers and client delivery teams to translate domain knowledge into data infrastructure requirements and resolve data issues.
  • Explore and characterize customer data, identify cleaning needs, and support statistical analysis.
  • Build AI-powered data products, including interactive investigation platforms, data quality reports, visualizations, automated insights, anomaly detection, and natural-language interfaces.
  • Design, maintain, and oversee the quality and reliability of ETL/ELT pipelines.
  • Evaluate AI/ML outputs and design human-in-the-loop checks to maintain trustworthy results.
  • Improve tools for data cleaning, modeling, analytics, quality assessment, automation, and AI enhancement.

Requirements

  • At least 3 years of experience in a data-driven role or equivalent data-related research experience.
  • Bachelor’s or master’s degree in science, mathematics, engineering, or another data-driven field.
  • Competence in Python, R, or an equivalent programming language.
  • Competence in at least two areas: database technologies, data science libraries, data pipeline workflows, or cloud providers and their SDKs.
  • Ability to translate complex data findings and operational workflows into clear, repeatable narratives and steps.
  • Strong focus on data integrity, quality control, communication, self-directed learning, and collaboration.

Nice to have

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

Culture & Benefits

  • Flexible hybrid work options, home working flexibility, and access to three offices.
  • 401(k) plan with up to 5% employer contribution.
  • Fully funded health, vision, and dental coverage from day one.
  • Up to 24 weeks of paid parental leave, a paid ramp-back program, and a family-forming benefit.
  • Flexible vacation policy, Summer Fridays, and an extended December holiday period.
  • Mentorship, learning and development programs, wellness support, commuting benefits, and in-person team events.

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