Hire Prefect Developers
Every week without the right Prefect developer is a week your data pipelines fall behind. Tecla closes that gap in 5 days and backs every placement with a 90-day replacement guarantee so you never lose that ground again.
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Tecla: your data engineering partner
Tecla assesses every candidate across four dimensions: AI-readiness, technical depth, soft skills, and English fluency. AI-readiness is not a checkbox. It is how an engineer thinks about and uses AI across the full stack, from the tools they reach for to the architectural trade-offs they make to how they solve problems when things get complex.
AI-Readiness
Full-stack AI thinking evaluated across tooling, architecture, and delivery approach.
Technical Depth
Hands-on assessment by our engineering team, not a recruiter running searches.
Soft Skills
Communication, collaboration, and cross-functional presence tested directly.
English Fluency
Evaluated through real technical conversation, not a written test.
Generalist agencies screen for keywords. Tecla screens for how engineers actually think.
That is the difference.
What our Prefect Engineers build for you
Workflow Orchestration & Pipeline Architecture
Prefect Cloud, dbt, and modern data stacks combined into orchestration systems that scale past proof-of-concept. Flow design, task dependencies, and deployment patterns built for production from day one.
Data Pipeline Development & ETL Design
Flow design patterns, task dependencies, parameter management, and incremental processing built for pipelines that run reliably at scale. Not just scheduled jobs, orchestration systems that recover on their own.
Integration & Infrastructure Optimization
Integration across Snowflake, BigQuery, Databricks, and modern data warehouses. Deployment on AWS, GCP, and Kubernetes with backfill strategies that do not break production when things go wrong.
Ongoing Monitoring & System Evolution
Flow run monitoring, task performance optimization, deployment refactoring, and version migrations. Runbooks and documentation included so your team can operate the system without depending on the engineer who built it.
Prefect Developers ready to start
These are representative profiles from our active network. Request your shortlist and we will match you with engineers fit for your stack, cloud platform, and pipeline complexity.
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Builds and operates ML and analytics pipelines on Prefect at high-growth SaaS and fintech companies. Specializes in orchestrating feature engineering workflows, model retraining pipelines, and data quality checks at scale. Has reduced time-to-production for new pipelines significantly by establishing reusable flow templates and deployment standards.
Designs and maintains enterprise-grade workflow orchestration systems using Prefect for data-intensive industries including healthcare and logistics. Deep expertise in building fault-tolerant pipelines, implementing retry strategies, and migrating legacy Airflow DAGs to Prefect. Known for reducing pipeline failure rates and improving observability across multi-team data platforms.
Maintains data workflows and automated reporting pipelines. Learning advanced orchestration patterns and cloud infrastructure. Works on business intelligence and analytics systems.
Works on ML training pipelines and feature engineering workflows. Has experience orchestrating model training and deployment. Comfortable with data processing at scale.
Manages ETL processes and data movement between systems. Experience with both batch and streaming workflows. Background in retail and e-commerce data infrastructure.
Backend engineer focused on data processing and workflow automation. Comfortable designing reliable pipeline architectures. Has worked on event-driven systems and ETL workflows.
Builds ML and analytics pipelines for data-heavy applications. Experience with distributed computing and workflow orchestration. Has worked at fintech and analytics companies.
Experienced building and maintaining data pipelines at scale. Has worked with Prefect, Airflow, and other orchestration tools. Strong AWS background with focus on data infrastructure.
Why hire Prefect Developers through Tecla?
Match in 5 days, not months
We match you with qualified Prefect developers in 5 days on average. Traditional recruiting firms take 42+ days and that is before the notice period.
Elite 3% selection rate
Only 3 in 100 applicants make it through our vetting process. Every developer you meet has built production Prefect orchestration systems, not just read the documentation.
The talent is there. You decide where they are based
Tecla places senior Prefect Developers across the US and Latin America. The expertise is the same on both sides. What you choose depends on what the role needs and what you want to do with the budget.
Stop rehiring the same data engineering role every 18 months
Pipeline orchestration knowledge compounds. A developer who understands your flow architecture, retry strategies, and failure patterns gets more valuable over time. Our 97% year-one retention means that institutional knowledge stays on your team.
Work your hours
Full overlap with US business hours. When a critical pipeline fails or a backfill job needs debugging, you get a response before the day ends, not the next morning.
Teams building with AI trust Tecla to hire
Eleven years, 500+ companies, 50,000+ vetted professionals. What they say about working with us.
Tecla is organized and provides a strong partnership experience. From hiring multiple engineers within weeks to maintaining consistent communication and feedback, they've shown real professionalism. Their follow-up and collaboration made the entire staffing process efficient and enjoyable.
Kristen Marcoe
I’m very happy with Tecla. Their support has improved our QA process, reduced bug reports by half, and made our onboarding process twice as fast. The team is responsive, cost-effective, and delivers high-quality candidates on time. Tecla has truly become a trusted extension of our internal hiring team.
Meit Shah
It was a pleasure working with Tecla. Their team quickly understood our hiring needs and found candidates that matched our technical requirements perfectly. Communication was seamless, and they were always quick to respond and deliver results. Tecla’s attention to quality made the entire experience smooth and efficient.
Mayya Bozhilova
Tecla successfully found candidates for our team and handled the entire process from scheduling to interviews. They were timely, responsive, and always kept communication flowing through email and messaging apps. I was really impressed with Tecla’s follow-up and thoroughness throughout the process.
Jessica Warren
Tecla's business model and team set our company up with engineers that we have the real possibility of working with long-term and can grow with our business. Tecla came in highly recommended, and their pace from introduction to engagement to presenting candidates was very fast.
David Bradley
Internally, we're moving much faster than we were without the remote engineers Tecla recruited for us and we've been able to implement far more features. Once we brought on our first full-time designer in South America, it made the quality of our user interface, product, and marketing efforts increase substantially.
Drew Batshaw
When we started our recruiting initiatives for LATAM developers, it was crucial for us to rely on a company that could provide deep local expertise to help us identify the best software developers in Latin America. The teams at Tecla really go the extra mile to understand our needs, which is what has made our partnership so successful!
Douglas Santos
Hire Prefect Developers in 4 simple steps
Tell us what you need
Share your cloud platform, pipeline complexity, and current orchestration stack. No lengthy forms. No back-and-forth for days. One focused call and we handle the rest.
Receive your shortlist within 3 to 5 business days
Every profile includes verified production experience, not self-reported skills. You are reviewing engineers who have built real orchestration systems, not people who added Prefect to their resume last month.
Interview your top choices
See how they think through pipeline architecture problems and handle failure scenarios. You are evaluating fit, not teaching fundamentals. Candidates arrive briefed on your product context.
Start working together in week 2 to 3
We handle contracts, compliance, and paperwork across borders. You focus on onboarding them to your pipeline architecture, data warehouse, and engineering team workflow.
90-day replacement guarantee. If the match is not right, we find you another at no extra cost.
Two ways to hire Prefect Developers through Tecla
We offer two approaches depending on whether you need individual contributors or a fully managed team.
Staff Augmentation
Nearshore Teams
The real cost to hire Prefect Developers with Tecla
Tecla places Prefect developers across the US and Latin America. The production experience travels. So does the timezone overlap and the English fluency. Where they are based is your decision.
US Salary Ranges
LATAM Salary Ranges
What is a Prefect Developer?
A Prefect developer is the engineer who makes your data pipelines reliable enough to trust without watching them. They build workflow orchestration systems using Prefect's Python framework, designing fault-tolerant flows that handle failures automatically, scale with your data volume, and give your team visibility into what is running, what failed, and why. Not a data scientist who scheduled a few scripts. Not a backend engineer who set up a cron job. The person you hire when your data workflows need to work the way your product depends on them.
Prefect developers bridge data engineering and DevOps practices. They don't just write DAGs. They design fault-tolerant orchestration systems, implement observability patterns, and architect deployment strategies that scale from local development to production clusters without workflow rewrites.
They sit at the intersection of Python expertise and distributed systems thinking. Understanding task dependencies, state management, and retry strategies separates them from general backend developers who treat orchestration as simple cron jobs with extra steps.
Companies typically hire Prefect developers when migrating from Airflow, building new data platforms, or modernizing legacy batch processing systems. The role fills the gap between data scientists who write transformation logic and platform engineers who manage infrastructure. Someone who understands both workflow design and production reliability patterns.
Business Impact
When you hire a Prefect developer, your data pipelines stop failing silently and start recovering automatically. Most companies see 70-85% reduction in manual intervention for pipeline failures and 3-5x faster time to resolve data quality issues compared to legacy orchestration tools.
Pipeline Reliability: They implement proper error handling, retries, and alerting patterns. This produces 40-50% reduction in pipeline downtime and faster root cause identification when failures occur.
Development Velocity: They build reusable flow templates and deployment patterns that let data teams ship new pipelines in days instead of weeks. Result is 2-3x faster time from pipeline concept to production deployment.
Operational Efficiency: Their monitoring and logging strategies reduce time spent debugging failed runs. This delivers 50-60% reduction in on-call incidents related to data pipeline failures.
Infrastructure Cost: They spot inefficient task patterns, implement caching strategies, and optimize resource allocation. Systems that maintain the same throughput while reducing compute costs by 30-40%.
Your job description either attracts engineers who've built production vector search systems or people who followed a LangChain tutorial once. Be specific enough to filter for actual Chroma experience and real RAG implementation.
What Role You're Actually Filling
State whether you need RAG pipeline development, vector database optimization, or full-stack AI integration. Include what success looks like: "Reduce answer latency to under 200ms for 95th percentile queries" or "Improve retrieval precision from 0.6 to 0.8+ within 90 days."
Give real context about your current state. Are you migrating from Pinecone? Building your first RAG system? Scaling from 100K to 10M embeddings? Candidates who've solved similar problems will self-select. Those who haven't will skip your posting.
Must-Haves vs Nice-to-Haves
List 3-5 must-haves that truly disqualify candidates: "2+ years production experience with vector databases," "Built RAG systems handling 1M+ queries/month," "Optimized embedding pipelines reducing latency by 50%+." Skip generic requirements like "strong Python skills." Anyone applying already has those.
Separate required from preferred so strong candidates don't rule themselves out. "Experience with Chroma specifically" is preferred. "Experience with any production vector database (Chroma, Pinecone, Weaviate, Milvus)" is required.
Describe your actual stack and workflow instead of buzzwords. "We use FastAPI, deploy on AWS ECS, run async embedding jobs with Celery, and do code review in GitHub. Daily standups at 10am EST, otherwise async communication in Slack" tells candidates exactly what they're walking into.
How to Apply
Tell candidates to send you a specific RAG system they built, the retrieval metrics before/after their optimizations, and the biggest technical challenge they solved. This filters for people who've shipped actual systems versus those who played with notebooks.
Set timeline expectations: "We review applications weekly and schedule technical screens within 5 days. Total process takes 2-3 weeks from application to offer." Reduces candidate anxiety and shows you're organized.
Good interview questions reveal hands-on experience with workflow orchestration, error handling patterns, and production reliability versus surface-level framework knowledge.
What it reveals: Strong answers discuss idempotency patterns, retry strategies with exponential backoff, parameter passing for backfill support, and state handling for partial failures. They should mention specific Prefect features like task retries, flow parameters, and result persistence. Listen for understanding of what happens when tasks fail midstream.
What it reveals: This shows they understand the framework evolution, not just copied code examples. Listen for discussion of server vs serverless execution, deployment patterns, API differences, and migration considerations. Candidates who've actually upgraded production systems will mention specific pain points and migration strategies.
They will cite numbers: "Reduced pipeline failures from 12% to 2.5% by implementing proper error handling and retry logic." Listen for ownership of reliability outcomes, not just feature delivery.
What it reveals: Real production experience means dealing with failures at 3am. Listen for specifics about debugging approach, how they identified the root cause under pressure, the fix they implemented, and monitoring they added. Strong answers include runbook updates, better alerting, and architectural changes to prevent recurrence.
Strong candidates mention specific approaches like chunking, distributed processing, and caching, and acknowledge trade-offs between complexity and performance.
What it reveals: Tests practical problem-solving and understanding of observability patterns. Listen for questions about alert fatigue, proposals for conditional notification logic, integration with existing tools (PagerDuty, Slack), and handling false positives. Strong candidates balance perfect monitoring with pragmatic delivery.
What it reveals: Neither answer is wrong, but reveals their natural orientation. Greenfield builders excel at rapid prototyping and new platform development. Reliability engineers thrive maintaining complex production systems at scale. Strong candidates are honest about what energizes them and what feels like a grind. This prevents hiring someone great who hates the actual work.
Frequently asked questions
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See who is available for your stack this week
No commitment. A 30-minute call and a shortlist in 5 days. 90-day guarantee if the fit is not right.