TT
Data Engineer
Talent Technical Services, Inc
- πΊπΈ United States
- On-site
- 4 hours ago
- $70 β $75 / hour
- SQL
- Python
- ETL
- ELT
- Data Modeling
- AI/ML
- Machine Learning
- Hive
- RAG
- MLOps
- LLM APIs
- AI
4 hours ago
- Expert-level SQL, including performance tuning against very large datasets.
- Strong Python skills for data pipeline development, automation, and ML/AI tooling.
- Deep experience building and maintaining production ETL/ELT pipelines and data warehouses/lakes.
- Strong data modeling and dimensional design skills (facts/dimensions, star schemas).
- Hands-on experience building data infrastructure for AI/ML use cases β feature engineering, training datasets, and/or pipelines supporting LLM/GenAI applications.
- Experience with workflow orchestration and distributed query/processing engines (e.g., Presto/Spark/Hive-style systems).
- Proven ability to work with ambiguous requirements and partner cross-functionally with technical and non-technical stakeholders.
Preferred Qualifications
- Experience in Software Asset Management, HR Data, Governance, supply chain, manufacturing, hardware operations, procurement, or vendor management data domains.
- Experience with Flexera asset management tool
- Experience with vector databases, embeddings, and RAG (retrieval-augmented generation) pipelines.
- Experience with MLOps / feature stores and productionizing ML models at scale.
- Familiarity with GenAI/LLM APIs and prompt-based data extraction or enrichment workflows.
- Experience building dashboards and data visualizations for operational and executive audiences.
- Familiarity with data governance, lineage, and quality frameworks.
- Strong communication skills and a track record of turning messy operational data into trusted metrics and AI-ready assets.
Other Skills:
Stretch Attitude, good communication skills
Please add the below to the comment section:
Legal Name:
Current Location: (City, State & Zip Code):
Home location:
Relocate:
Bill Rate:
CTH After 3 Months:
Travelling Availability:
Availability to Start:
Phone/Mobile Number:
Email Address:
Visa Type:
Visa Expiration Date:
Hiring Status:
Are you working directly with the contractor's visa holder:
If not indicate # of layers and names of the company:
Indicate if the Candidate has worked in CG before and where:
Ex-*** Employee:
LinkedIn Account: (If available)
Vendor Point of Contact for Interview Scheduling:
Contractor approved to share its resume to client:
Data Engineer Β· Talent Technical Services, Inc