Services
AI & Machine Learning
Analytics & BI
Cloud & Infrastructure
Hire vetted data talent. Skip the recruiting mess.
We source, screen, and place data engineers, analysts, ML engineers, and BI developers. You tell us what you need — we send you candidates who've already passed technical assessments and senior-level interviews. No job boards. No recruiter circus.
Hire Data Talent
Companies that trust us with
their data teams.
How we screen every candidate.
Top 1%Application review
We look at years of relevant experience, the complexity of systems they've actually built, and their professional track record. Most applicants get cut here.
Why teams hire through Opanin
Here's what's different about working with us.
Top 1% of Data Talent
We reject the vast majority of applicants. Every person we place has shipped production data systems, passed role-specific technical assessments, and cleared interviews with our senior engineers.
Fluent English Communication
Every placement communicates fluently in English. They lead standups, write design docs, and navigate technical discussions with your team — no translation layer needed.
Your Time Zone, Your Hours
Your hire works when you work. Same daily standup, same Slack hours, same working day. We match on time zone so there's no half-day delay on every question.
Senior-Level by Default
Our average placement has 10+ years building warehouses, pipelines, dashboards, and ML systems in production. You're not paying for someone to figure it out on the job.
Your Stack, Covered
Snowflake, Databricks, dbt, Airflow, Spark, BigQuery, Power BI, Looker — we match candidates to your actual tech stack, not a keyword wishlist from a job posting.
Clients Come Back
Most of our revenue comes from repeat clients. They come back because the last person we placed shipped real work — and now they need another one.
Every role across your data stack.
From pipeline builders to ML engineers to analysts — these are the roles we place, pre-vetted and ready to start.
Build Your Data Team
Data Engineers
Design, build, and maintain your data pipelines and warehouse infrastructure. They own the ETL/ELT layer so your analysts and scientists have clean, reliable data to work with.
ML Engineers
Take models from notebooks to production. They build feature stores, serving infrastructure, monitoring, and the MLOps tooling that keeps your ML systems running at scale.
Data Analysts
Turn raw data into answers your team can act on. They write the SQL, build the dashboards, and deliver the analysis your product and leadership teams use to make decisions.
BI Developers
Own your reporting stack end to end. They design, build, and maintain the Tableau, Power BI, or Looker dashboards your leadership relies on daily.
Data Scientists
Run experiments, build predictive models, and surface the patterns your business is missing. They bring the statistical rigor your product and strategy teams need to make confident bets.
Cloud Data Engineers
Architect and manage your data platform on AWS, GCP, or Azure. They handle the cloud infrastructure — IAM, networking, cost optimization — so your data team stays focused on the data.
DataOps Engineers
Keep your pipelines reliable and your data trustworthy. CI/CD for data, automated testing, monitoring, and alerting — they catch quality issues before your stakeholders do.
Three ways to work with us.
Our people,
plugged into your team.
Your data team has an
open seat. Let's fill it.
Tell us the role, the stack, and the timeline. We'll send you vetted candidates who've already cleared our screening process.
