Senior AI/ML Data Platform Engineer
Triwave Solutions Inc
Dice Job Match Score™
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Job Details
Skills
- Machine Learning (ML)
- Databricks
- Extraction
- Good Clinical Practice
- Data Flow
- Data Modeling
- Data Quality
- Continuous Improvement
- Data Architecture
- Data Engineering
- Cloud Computing
- Computer Science
- Data Science
- Apache Spark
- SQL
- Semantic Search
- Snow Flake Schema
- Query Optimization
- Real-time
- Risk Management Framework
- Microsoft Azure
- Privacy
- Public Sector
- Google Cloud Platform
- Leadership
- Mentorship
- Artificial Intelligence
- Collaboration
- HIPAA
- Python
- Amazon Web Services
- Apache Flink
- Apache Kafka
- Auditing
- API
- Access Control
- Amazon Kinesis
- Amazon Redshift
- Storage
- Streaming
- Technical Writing
- Workflow
Summary
Work Arrangement: Onsite
Number of Positions: 1
- 10+ years of experience in data engineering, ML engineering, or data platform development, including 2+ years designing or operating production data products or data services.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; master's degree preferred.
- Expert-level SQL and strong Python programming skills.
- Experience with AWS, Azure, or Google Cloud Platform data platforms, including Amazon Redshift, AWS Glue, Azure Synapse, Azure Data Factory, BigQuery, Dataflow, Databricks, or Snowflake.
- Production experience with Apache Kafka, Amazon Kinesis, Apache Flink, or Spark Structured Streaming.
- Strong understanding of data modeling and architecture patterns, including data vault, lakehouse, and data mesh.
- Experience with data quality frameworks, data catalogs, data lineage, API design, data contracts, and event-driven architectures.
- Experience integrating ML models into data pipelines or developing AI-powered data services.
- Experience with data access controls, attribute-level masking, audit logging, and governance.
- Strong architectural leadership, technical documentation, mentoring, and cross-team collaboration skills.
- Data mesh, federated data architecture, and enterprise data product initiatives.
- LLM applications for text-to-SQL, document extraction, semantic search, and automated enrichment.
- Government, public sector, or highly regulated environments.
- Data privacy and security requirements, including PII protection, CJIS, HIPAA, and IRS Publication 1075, where applicable.
- NIST AI Risk Management Framework and responsible AI practices.
- Data platform FinOps, cloud cost attribution, storage tiering, and query optimization.
- Dice Id: 91125814
- Position Id: 9125058
- Posted 1 day ago
Company Info
Garnering Accolades for Health and Human Services in Maryland
Based in Columbia, Maryland, Triwave is a Certified Small Business as designated by the Federal government, demonstrating its commitment to contributing to the community and promoting the safety, security, and well-being of citizens. Triwave specializes in innovative services and solutions utilizing cloud, analytics, artificial intelligence, and data management that enhance governance while reducing costs for state and local agencies such as the Department of Human Services (DHS) at Maryland and Department of Child Services (DCS) at Indiana. Triwave recently delivered agency-wide modernization programs for the State of Maryland as a Master Contractor that transformed the technology landscape and garnered award and recognition for the team. Triwave has also received the prestigious honor of being named a top IT Consulting Firm for the years 2022 and 2023.
