Senior engineers, on demand
Senior Apache Airflow experts, embedded in your team
In your Slack within a week. Billed by the hour, no retainer, no lock-in.
Partner with our Apache Airflow Experts to design, deploy, optimize, secure, and scale your orchestration platform for reliable DAGs, compliant governance, and efficient production operations.
Your senior Apache Airflow engineer
In your Slack, within a week
Backed by a lead architect and the full MeteorOps bench
- acceptance rate
- 0.7%acceptance rate
- average experience
- 9+ yrsaverage experience
- projects shipped
- 80+projects shipped
Trusted by Leading Companies
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Running and scaling Apache Airflow Experts in production means managing: executor selection and autoscaling, DAG reliability and backfills, secrets/RBAC and governance, security/compliance controls, cost/performance tuning, and integrations across data and ML platforms.
Many organizations struggle to turn scheduler signals into operational action while keeping pipelines consistent across teams and environments.
MeteorOps’ Apache Airflow Experts help design resilient architectures, standardize DAG patterns, harden deployments, improve observability, and operationalize upgrades—so your team delivers reliable workflows with clear visibility and controlled spend.
One senior engineer on your team, billed how you choose
No agency layers, no fixed retainer. A vetted, senior Apache Airflow engineer joins your team and does the real work, from a one-off fix to a full platform build. You meet them first, and pay only for the time they put in.
- A named senior Apache Airflow engineer from the top 0.7% we vet, not an agency queue
- In your Slack within a week, doing the actual hands-on work
- Billed by the hour, hours-bank, or monthly. No retainer, no lock-in
- A lead architect and a full expert bench standing behind them
Three ways to engage
By the hour
Pay only for hours used. Scale up or down any month, no commitment.
Hours bank
Buy a block of hours at a lower rate, drawn down whenever you need them.
Monthly
A dedicated engineer embedded with your team, billed month to month.
Switch between them as your needs change. No lock-in, ever.
Our Airflow Expertise in Action
We’ve delivered and supported Apache Airflow across startups and enterprise teams, including high-uptime and regulated environments. Our engineers master DAG engineering, executor scaling, and operational best practices for reliable scheduling, secure governance, clear observability, and predictable change.
Architecture & Executor Design
Celery vs Kubernetes executor, scheduler tuning, worker autoscaling, queue routing, HA webserver.
DAG Reliability & Backfills
Idempotent tasks, retries/backoff, timeouts, SLAs, backfill strategy, catchup controls.
Security, RBAC & Secrets
RBAC roles, SSO/OIDC, secrets backends, connection hygiene, network policies, audit logging.
Observability & Operations
Prometheus/StatsD metrics, structured logs, run dashboards, alert routing, failure triage, on-call playbooks.
CI/CD & Testing
DAG unit tests, DAGBag validation, linting, dependency pinning, GitOps deploys, rollback procedures.
Governance & Standards
Naming conventions, code owners, approval workflows, environment promotion, documentation templates, provider version control.
Integrations & Data Platforms
AWS/GCP/Azure hooks, dbt orchestration, Spark/Kubernetes jobs, Kafka triggers, S3/GCS transfers.
Upgrades, DR & Metadata
Airflow 1.10 to 2.x, provider upgrades, metadata DB migrations, backup/restore drills, compatibility testing.
How an engagement runs
- Step 1
Discovery call
We map your current Apache Airflow setup, the pain, and where you want to be.
- Step 2
Plan you approve
We turn that into a scoped plan and roadmap. You decide before any work starts.
- Step 3
Meet your engineer
A best-fit senior Apache Airflow engineer, matched to your stack. You meet them first.
- Step 4
In your Slack
Within a week they join your channels and start the real, hands-on work.
- Step 5
Ship and validate
Changes land with testing, scalability, and security checks at each step.
- Step 6
Ongoing support
Stay on for managed ops and a full expert bench, or wind down. No lock-in.
They work across the whole stack
Your Apache Airflow engineer is a full-stack platform specialist, fluent from the cloud underneath to the CI/CD and observability around it. Not a single-tool hire.
Cloud & compute
Where it runs
Provisioning & IaC
How it is built
Orchestration
Apache Airflow
Your engineer operates here, and across everything it touches.
Delivery & GitOps
How it ships
Observability
How it is watched
Why MeteorOps?
Elite Talent
Architecture design, readiness assessments, and DevOps roadmaps.
Proven Track Record
80+ successful projects across industries.
Flexible Engagements
From quick audits to full implementations.
End-to-End Support
Design, deployment, training, and ongoing ops.
Security First
Kubernetes hardening and compliance baked into every project.
Trusted Partner
Recognized by global clients and cloud partners.
Why Our Experts Outperform In-House Teams and Freelancers.
Quality of Talent
- MeteorOps
- In-House
- Freelancers
Hands-on Multi-Cloud Experience
- MeteorOps
- In-House
- Freelancers
Project Delivery Speed
- MeteorOps
- Fast
- In-House
- Moderate
- Freelancers
- Unreliable
Ongoing Support
- MeteorOps
- In-House
- Freelancers
Cost Efficiency
- MeteorOps
- Pay per project
- In-House
- Full-time salaries
- Freelancers
- Variable rates
Security & Compliance
- MeteorOps
- In-House
- Freelancers
Proven Track Record
- MeteorOps
- In-House
- Freelancers
Risk of Turnover
- MeteorOps
- Low
- In-House
- Medium
- Freelancers
- High
success stories and proven results
Case Studies
The people who would do your Apache Airflow work
Senior engineers from our vetted bench. You meet your match before anything starts.
Frequently Asked Questions
Get a senior Apache Airflow engineer on your team
Book a free consultation. We will map your Apache Airflow goals and show you exactly who would do the work, before you commit to anything.
Free, no-obligation consultation. We reply within one business day.