Senior Data Engineer
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Job Description
Senior Data Engineer at Tanaq Technical Services designing and optimizing data systems for HUD AI/ML workflows. Focused on creating scalable and efficient data infrastructures for federal projects.
Responsibilities:
- Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms.
- Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility.
- Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI).
- Collaborate with Data Scientists to operationalize models and enable scalable AI solutions.
- Implement data governance, versioning, and lineage tracking for compliance.
- Monitor and maintain high-performance data systems and optimize for throughput.
Requirements:
- 5+ years of experience in data engineering for AI/ML workflows
- Expertise in cloud-native data systems and large-scale data processing
- Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance
- Previous experience supporting HUD OCIO preferred.
- Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Technical Skills: Cloud platforms: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory
- ETL/ELT frameworks: Airflow, Spark, Databricks
- Data modeling, schema design, and optimization for AI workloads
- Programming: Python, SQL
- Version control: Git/GitHub/GitLab
- Data governance, metadata management, and logging
Benefits:
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Remote work options
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