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-scale, high-uptime, and regulated environments. Our engineers master executor strategy, DAG reliability, and secure operations to improve scalability, observability, governance, and predictable change.
Platform Architecture & Deployment
Helm/Kustomize configs, scheduler/web sizing, metadata DB tuning, remote logging setup, HA components.
Executor Scaling & Performance
KubernetesExecutor profiles, Celery autoscaling, pools/queues strategy, concurrency limits, task resource requests.
DAG Engineering & Reliability
Idempotent operators, retries/backoff, timeouts, SLAs, deferrable sensors, backfill-safe patterns.
Security, RBAC & Secrets
SSO/OIDC integration, role mapping, secrets backends, connection hygiene, network policies, audit trails.
Governance & Compliance Controls
DAG ownership rules, code review gates, environment promotion, data access policies, retention standards.
Observability & Incident Operations
Prometheus/StatsD metrics, structured logs, run dashboards, alert thresholds, on-call runbooks.
CI/CD, Testing & Automation
DAG unit tests, DAGBag validation, lint/format checks, dependency pinning, image build pipelines.
Upgrades, Migrations & DR
Airflow 2.x upgrades, provider compatibility, metadata migrations, backup/restore drills, rollback procedures.
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.
Questions before you bring in a Apache Airflow engineer
01How does pricing work?
You pay for engineering time, not an opaque package. We can bill monthly for actual hours, use a prepaid hours bank, or reserve steady monthly capacity. Before work starts, we explain the rate, expected shape, and what could change it.
02Do we meet the engineer before committing?
Yes. You meet the engineer proposed for the work and can assess the technical and working fit yourself. The person introduced is the person expected to join your channels and do the work.
03Is this Apache Airflow advice or hands-on implementation?
Both. The same senior engineer can assess the system, explain the trade-offs, and implement the agreed changes. We do not separate a strategy team from a delivery team unless the work genuinely needs another specialist.
04How will we see progress and hours?
Work happens in your normal tools and communication channels. You get regular working updates and a detailed hour log describing where billed time went, so progress is visible before the invoice arrives.
05What happens when priorities change?
You can redirect the engagement as the production reality changes. We will explain the consequence for timing and hours, then work from the priority you choose instead of starting a scope-change negotiation.
06Can we start with something small?
Yes. A focused review, decision, or small implementation is often the best first engagement. You can evaluate the engineer and the working model before expanding the scope or monthly capacity.
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.