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Apache Airflow Engineer

Mastech -
Remote

Quick Apply

Job Details

Full-time | Contract
21 hours ago

Qualifications

Containerization systems
Implementing network security protocols
Amazon EC2
ETL pipeline development
Triage
Amazon ECS
TLS
Information security compliance
RBAC
Security system vulnerability testing
IT monitoring tools
Cloud security
Data pipeline scheduling
Airflow
Security testing methodologies
Terraform
Continuous integration
Compliance documentation
Resolving technical support tickets
Software documentation
Technical writing experience
Production monitoring
Cloud automation
Cloud monitoring
Python
Debugging
Production troubleshooting

Full Job Description

Must-have qualifications

4+ years hands-on with Apache Airflow in production (not just “used it in a pipeline”) —

scheduler, executors, DAG lifecycle, backfills

Strong troubleshooting of Airflow failures: restart loops, scheduler lag, task queue issues,

executor problems, dependency conflicts

AWS production experience, specifically ECS on EC2 (containerized Airflow) — sizing,

deployment, networking

Security hardening: RBAC, secrets backends, TLS, and reducing Airflow’s provider

surface / CVE footprint — this is FedPoint’s core pain, so weight it heavily

Comfortable with CVE triage and vulnerability justification — assessing exploitability,

documenting findings for compliance review

Python proficiency (Airflow is Python-native; needed to read/debug DAGs and providers)

Docker/containerization fundamentals

Strong written communication — client-facing support with SLA-bound response/resolution

Strongly preferred

Experience supporting federal / government contractor environments; familiarity with

FISMA/NIST 800-53/800-171 concepts (support context, not as a certifier)

Kubernetes (some clients run Airflow there even if FedPoint is ECS)

CI/CD, infrastructure-as-code (Terraform/CloudFormation)

Prior SLA-based support or managed-services experience (vs. pure engineering) —

knows what “2-hour response” discipline actually means

Monitoring: CloudWatch, Prometheus, Grafana

Soft requirements that matter for support (not engineering)

Calm under production-incident pressure; good bedside manner with a stressed client

Documentation discipline — runbooks, justification write-ups, ticket hygiene

Able to work a defined coverage window reliably (federal clients notice SLA misses)

Experience:

Apache Airflow in production : 4 years (Required)
scheduler, executors, DAG lifecycle, backfills : 1 year (Preferred)
AWS production experience, specifically ECS on EC2: 3 years (Preferred)

Work Location: Remote

Quick Apply

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Apache Airflow Engineer

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Trainer coordinator only W2

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