3 часа назад
Data Engineer (AI)
115 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI): Modernizing enterprise data, analytics, and AI platforms for a financial services organization with an accent on AWS cloud engineering, AI Gateway migration, and governed data integration. Focus on building AI evaluation and observability frameworks, migrating Portkey to Apigee, and developing scalable ETL/ELT pipelines for LLM and BI workloads.
Location: Remote in the United States, supporting EST hours
Salary: $115,000–$125,000 per year, plus potential discretionary bonus
Company
is a strategic AI partner supporting Fortune 500 enterprises with AI, data, and analytics transformation initiatives.
What you will do
- Design and execute migration strategies for enterprise data, analytics, and AI platforms on AWS.
- Build and migrate governed AI Gateway capabilities, including the transition from Portkey to Apigee.
- Develop integrations with Claude, OpenAI Custom GPTs, AWS Bedrock, and other AI services.
- Build AI evaluation, testing, monitoring, observability, and reporting frameworks.
- Lead BI modernization initiatives, including Alteryx retirement and Tableau Cloud migration.
- Develop scalable ETL/ELT pipelines, data products, governance capabilities, and secure cloud-native deployments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
- 5+ years of experience in data engineering, platform engineering, cloud engineering, or analytics engineering.
- Hands-on experience with AWS services including S3, Glue, Lambda, Redshift, Bedrock, API Gateway, and IAM.
- Strong experience with Python, SQL, REST APIs, microservices, Tableau, and Alteryx.
- Experience with cloud migration, platform modernization, enterprise-scale data architecture, ETL/ELT, AI testing, evaluation, and monitoring.
- Knowledge of data governance, security, privacy, compliance, and financial services regulatory requirements.
Nice to have
- Experience with enterprise AI Gateway platforms and migrations involving Portkey, Kong, MuleSoft, Apigee, or similar technologies.
- Experience with LLM applications, RAG systems, AI copilots, agentic AI, vector databases, prompt engineering, and AI observability platforms.
- Experience with Alteryx-to-cloud modernization, Tableau Cloud migrations, or BI transformation programs.
- Financial services experience in banking, capital markets, asset management, wealth management, or insurance.
- AWS Data Engineer, Solutions Architect, or Machine Learning certifications.
Culture & Benefits
- Full-time employment with health, dental, vision, life insurance, and disability coverage from the first day.
- 401(k) eligibility after 30 days of employment.
- 11 paid holidays and 12 weeks of parental leave.
- Flexible PTO policy covering vacation and sick time.
- Remote work supporting EST hours.
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