Data Architect designing scalable data architectures for analytics and reporting at XTEL. Collaborating with international teams to ensure data quality and infrastructure improvements.
About the role
- Senior Data Engineer supporting AI-enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission-critical regulated environment.
Responsibilities
- Design and maintain scalable data pipelines supporting AI-enabled compliance workflows
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for large-scale document and financial datasets
- Engineer ingestion pipelines across structured and unstructured data sources
- Integrate relational databases and enterprise data systems into secure, production-grade AI architectures
- Collaborate with AI/ML engineers, DevSecOps, cybersecurity specialists, financial SMEs, and UX teams within a regulated DoW environment
Requirements
- Active Secret clearance required
- Bachelor’s degree in Computer Science, Engineering, or related field
- Minimum 5 years of data engineering professional experience
- Experience supporting DoD environments preferred
- Experience building and maintaining RAG pipelines including document ingestion, chunking, embedding, vector storage, and semantic search
- Strong Python proficiency with disciplined typing, functional programming patterns, and async/concurrent execution for data-intensive workloads
- Hands-on ETL experience across Excel, XML, YAML, Markdown, and relational databases such as PostgreSQL using SQLAlchemy and schema migrations
- Familiarity with LLM integration patterns including prompt engineering, structured response parsing, caching strategies, and evaluation frameworks
Benefits
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Parental Leave and dependent care
- Flexible work arrangements
- Professional development opportunities
- Employee assistance and wellness programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead Enterprise Data Architect building and owning foundational data management capabilities at a technology - driven company. Enhancing data architecture for AI and operational use with strategic leadership and technical expertise.
Associate Data Engineer supporting data engineering projects at The Hartford in Hartford, CT and Charlotte, NC. Engaging in projects that involve data analysis and developing data assets using various technologies.
Senior Data Engineer / Snowflake Architect leading the design and optimization of data solutions. Working closely with clients and internal teams to build scalable architectures in a hybrid environment.
Data Engineer II developing ETL/ELT solutions for higher education data warehouse. Ensuring reliable institutional data for strategic decision - making by university leaders.
Associate Data Engineer building and maintaining data systems at Incedo. Transforming raw information into accessible datasets for decision - making and collaborating with analysts and data scientists.
Intern Data Engineer at Flutter Studios learning to create applications in the gaming industry. Join a cross - functional team to implement a basic application in an Agile environment.
AI/Data Engineer at Comcast developing data pipelines and AI solutions for audit processes. Leading team efforts to ensure data quality and compliance with audit objectives across business units.
Senior Data Engineer involved in AWS Cloud and Big Data solutions for Financial Crime. Join CommBank's team to tackle complex data - centric problems with advanced technologies.
Senior Data Engineer leading and mentoring a team in building scalable data pipelines for digital transformation projects in an international software company.