9 часов 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) (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
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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