Data Engineers
- ETL/ELT pipelines
- Data modeling
- Warehouse design
- dbt · Airflow · Spark
Data & AI Staffing
Data & AI staffing.
Data engineers, scientists, and analytics professionals.Finding strong data talent means screening for real depth — pipeline design, data modeling, statistical methods, and production ML — not just keyword matches. You get a small, qualified shortlist ready to interview.
300+
Data professionals in network
85%+
Interview advance rate
3–5
Profiles per shortlist
<48 hrs
VMS onboarding
01 · Roles we place
Data and AI roles we staff.
We place data specialists across the full data stack — from pipelines to production ML.
Analytics Engineers
- Data transformation
- Dashboard development
- Metric definition
- Power BI · Tableau · Looker
Data Scientists
- Statistical modeling
- Feature engineering
- Experimentation
- Python · R · SQL
ML & AI Engineers
- Model training & MLOps
- NLP & Computer vision
- LLM fine-tuning
- PyTorch · TensorFlow · Hugging Face
Data Architects
- Data platform design
- Schema & governance
- Cloud data strategy
- Snowflake · Databricks · BigQuery
Data Governance & Quality
- Data quality frameworks
- Lineage & cataloging
- Compliance & access controls
- Collibra · Alation · Great Expectations
02 · How we screen
How we qualify data talent.
CyberForce HQ runs data-specific assessments before any candidate reaches you.
Request comes in
You tell us the data role, skills, and start date.
AI-assisted screening
CyberForce HQ runs technical assessments and data-specific role-fit scoring.
Human review
Our team reviews every candidate for data depth, communication, and delivery readiness.
Shortlist delivered
You receive 3–5 qualified data professionals, ready to interview.
03 · Common questions
Frequently asked questions.
What data roles do you staff?
Data engineers, analytics engineers, data scientists, ML engineers, data architects, data governance specialists, and BI developers.
How do you screen data candidates?
CyberForce HQ runs data-specific technical assessments including SQL proficiency, pipeline design, data modeling, and role-fit scoring. Our team then reviews each candidate for depth, communication, and delivery readiness.
Can you place data professionals for contract and full-time?
Yes. We support contract, contract-to-hire, and direct hire placements for all data and AI roles.
Do you work inside MSP and VMS programs?
Yes. We work inside Fieldglass, Beeline, Coupa, and Workday-managed programs with your rate cards and SLAs.
How quickly can you deliver candidates?
For standard data roles, we deliver a qualified shortlist in 3–5 business days. For specialized roles like ML engineers or data architects, it may take 5–7 business days. Urgent requests get prioritized.
What makes your data staffing different?
We screen for real data depth, not keyword matches. CyberForce HQ assesses technical skills specific to each data role — pipeline design for data engineers, statistical methods for data scientists, platform design for architects. You get candidates who can actually do the work.
Get started
Need qualified data and AI talent?
Send your request. We screen for real data depth.
Tell us the data role, skills, and start date. We screen with CyberForce HQ and send a qualified shortlist.
Need AI delivery, not just staffing? Explore AI & Automation Services →