обновлено 7 дней назад
Data Analytics Engineer (AI)
100 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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