Data Science and Data Engineering Staffing
We bridge the gap between business needs and data expertise. Whether you’re building a BI team, scaling analytics, or launching an AI product, we deliver vetted professionals who fit your culture, tech stack, and business goals.
Hire Data Experts That Actually Deliver Insights
Our recruiters speak data. We know the top talent you need, matching you with Data Scientists, Engineers, and Analysts who turn complexity into clarity.
We screen for skills in Python, R, SQL, Spark, Snowflake, ETL, Airflow, dbt, Redshift, GCP, AWS, Azure, Looker, Kafka and streaming pipelines, and more. Every candidate undergoes recruiter-led technical interviews tailored to the role. We assess technical ability, tool experience, and problem-solving and strategic skills.
Talk to a Data Staffing Specialist →
The Problem
Most recruiters don’t speak Python, SQL, or Snowflake. They don’t know what makes a good data hire. You get mismatched resumes, slow timelines, and candidates who can’t deliver real business value. Meanwhile, your team is stuck waiting, costing you time and money.
85% of data-driven projects fail due to hiring gaps or misaligned talent. (Gartner, 2024)
Talk to a Data Staffing Specialist →Flexible Hiring Models
Whether you need a single data engineer or an entire analytics team, we offer hiring models designed to match your timeline, budget, and growth stage.
Contract
Best for project work, data pipeline builds, or interim coverage. We place data professionals who contribute quickly and integrate with your existing workflows.
Contract to Hire
Evaluate fit before committing long-term. A practical option when you want to confirm a data engineer or scientist can deliver before making it permanent.
Permanent Placement
For full-time roles where experience, judgment, and long-term team alignment matter most. We manage sourcing and screening so your time is reserved for top candidates.
Project-Based Consulting
When you need specialized data expertise for a defined initiative — a data warehouse migration, ML model build, or analytics platform rollout.
Roles We Staff
From Data Scientists to MLOps Engineers. We Know the Talent You Need.
- Data Scientist
- Data Engineer
- Machine Learning Engineer
- Big Data Engineer
- Kafka / Streaming Data Engineer
- Applied Data Scientist
- NLP/LLM Engineer
- MLOps Engineer
- Analytics Engineer
- Cloud Data Engineer
- BI Developer
- Data Analyst
- Data Architect
How It Works
Hire Smarter Data Talent Faster. The best outcomes come from a clear, disciplined process.
Role Intake
We dig into your technical requirements, team dynamics, tools and stack, and business context to align on exactly what success looks like.
Targeted Sourcing
We activate both active and passive talent networks. No job board blasting — we go directly to data professionals with proven track records.
Technical Screening
Candidates are evaluated on skills, tool experience (Python, SQL, dbt, etc.), past work, and problem-solving ability — not just what’s listed on a resume.
Shortlist Delivery
You receive a focused shortlist — not a flood of options. Every candidate is there for a reason, with detailed profiles on technical depth and fit.
Placement Support
We manage coordination, feedback, offer negotiation, and onboarding support to keep the process moving smoothly through hire and beyond.
Not Just Resumes. Real Results.
- Recruiters with data engineering backgrounds
- Proven screening for technical and cultural fit
- Transparent process from intake to placement
- Talent aligned with your KPIs, roadmap, and tools
- 92% retention rate at 12 months
- 17-day average time to hire
“We speak their language. From ETL workflows to predictive modeling. That’s how we find the right fit, fast.”
— KORE1 Senior Data Recruiter
See How KORE1 Staffs Data and Cloud Roles
Related KORE1 Resources
- How to Hire Tableau Developers in 2026 — Four developer profiles and sourcing strategy.
- How to Hire Data Platform Engineers — Platform-builder vs. pipeline-operator hiring.
Data Staffing FAQ
How do you screen for technical skills?
Every candidate undergoes recruiter-led technical interviews tailored to the role. We assess technical ability, tool experience (e.g. Python, SQL, dbt), and problem-solving and strategic skills. Candidates can preview the kinds of technical and behavioral prompts hiring managers run in our guide to data engineer interview questions for 2026.
Do you support remote or offshore hiring?
Yes. We staff data professionals for remote, hybrid, and on-site roles across the United States. All candidates are screened by senior recruiters before you see them.
What’s the cost to get started?
There are no upfront costs. You only pay if you hire. Our pricing is transparent and tailored to your hiring model.
What if a hire doesn’t work out?
We offer a replacement guarantee and post-hire support to ensure long-term success. If a hire doesn’t meet expectations, we work with you quickly to find a new match.
Can you help define our data hiring needs?
Absolutely. We work closely with hiring managers to shape job descriptions, define required skills, and align the role to your business goals.
What industries do you serve?
We work with all industries for data talent. Our clients range from Fortune 500 enterprises to funded startups across financial services, healthcare, technology, e-commerce, logistics, manufacturing, and more.
“KORE1 delivered 4 qualified data engineers. We hired 2, and they’ve driven real value for our cloud analytics team.” For roles focused specifically on database infrastructure and administration, see our DBA staffing services.
— Director of Data Engineering, FinTech Client
Get Started with Data Staffing
If you’re expanding data capacity, building out an analytics team, or filling a critical data engineering role, a conversation with our team is a good starting point. We’ll help you pressure-test the role, timeline, and market before you commit.
Looking for something more specialized? We also staff for AI and ML engineers, senior data scientists for production model teams,, IT professionals, and NetSuite professionals.
Speak to a Data Staffing Expert →Ready to Hire Data Talent?
Tell us what you’re building and when you need people. We’ll deliver a shortlist of qualified data professionals — most clients see candidates within 17 days.
Read full video transcript
If your data initiative is stalled, the issue probably isn't your tech stack. It's hiring. Most companies invest in Snowflake, cloud platforms, BI tools, maybe even AI. But they rely on recruiters who can't evaluate real data capability. That's where things break. Most datadriven projects fail because of hiring gaps or misaligned talent, not because the tools don't work. Because the wrong people were placed in critical roles. Here's the problem. Most recruiters don't speak Python, SQL, or modern data architecture. They match keywords. They forward resumes. They hope it works. And your team ends up interviewing candidates who look strong on paper but can't translate analytics into business value. That slows everything down. At Core 1, we approach data science and data engineering staffing differently. Our recruiters understand data environments. We bridge business needs and technical execution. We know the difference between someone who has used Snowflake and someone who has optimized it at scale. If you're building a BI team, we focus on business impact. If you're scaling analytics, we look for production experience. If you're launching AI initiatives, we evaluate deployment, not just modeling. Because strong data hires connect tools to outcomes. We staff across the full data ecosystem. Data scientists, data engineers, machine learning engineers, MLOps engineers, analytics engineers, BI developers, data architects, and we screen for real world capability across Python, SQL, Spark, ETL frameworks, cloud platforms, DBT, and Snowflake. Not just familiarity, applied experience. We also offer flexible models, contract, contract to hire, permanent placement, project-based consulting. Some teams need immediate lift. Others are building long-term capability. We align the hiring model to your road map. Our average time to hire is 17 days. Our 12-month retention rate is 92%. Those numbers reflect fit, not just speed. The process is straightforward. You share your needs. We help define what success looks like. We deliver vetted candidates aligned to your stack, culture, and goals. And we stay engaged beyond placement. Here's the takeaway. Technology doesn't create insight. People do. If your data strategy matters, your hiring strategy has to match it. Start with clarity. Then partner with recruiters who understand the work. When you're ready to hire data experts who actually deliver insights, let's have that conversation.