2 часа назад
Senior Data Analytics Engineer (AI)
140 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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