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9 часов назад

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

Текст:
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TL;DR
Data Analytics Engineer (AI) (AI/data products and pipelines): Building trusted data products, analytics platforms, quality reports, visualizations, and AI-powered capabilities with an accent on ETL/ELT reliability, data integrity, and customer-facing insights. Focus on evaluating AI/ML outputs, designing human-in-the-loop checks, and transforming complex operational data into clear narratives.

Location: Washington, District of Columbia, United States; hybrid work with flexibility to work from home and access to company offices. Remote work from eligible locations is available for up to 2 months per year.

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

Company

hirify.global develops mission-critical software for secure data sharing, analysis, AI-powered insights, and digital security in sensitive and disconnected environments.

What you will do

  • Partner with customers and client delivery teams to understand data domains, define infrastructure requirements, validate assumptions, and resolve data issues.
  • Explore complex customer data and recommend approaches for cleaning, analysis, and statistical interpretation.
  • Build customer-facing data products, including interactive analysis platforms, data quality reports, statistical analyses, and visualizations.
  • Develop AI capabilities such as automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces.
  • Design, own, and monitor reliable ETL/ELT pipelines, including AI-assisted workflows.
  • Improve data cleaning, modeling, analytics, and quality-assessment tools through automation and AI enhancement.

Requirements

  • 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 tools, or cloud providers and their SDKs.
  • Ability to communicate complex data findings and operational workflows as clear, repeatable steps.
  • Demonstrated commitment to data integrity, trusted datasets, continuous learning, and collaborative problem-solving.

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 work-from-home flexibility and access to collaborative offices.
  • 401(k) plan with up to 5% employer contribution.
  • Fully funded health, vision, and dental coverage from day one for employees and families.
  • 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.
  • Individualized mentoring, development programs, wellness support, transit benefits, and in-person team events.

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