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Apache Airflow Support Consultant - Fully Remote !!

Palni IncUnited States🇺🇸United StatesPosted 14 Jul 2026

Why This Role Stands Out

This fully remote Apache Airflow Support Consultant role offers a fantastic opportunity to deepen your expertise in a critical data orchestration tool, contributing to impactful projects. You'll thrive here if you possess strong production experience with Airflow and are eager to leverage your skills in a flexible, collaborative environment. Apply today to join a forward-thinking team and advance your career in data engineering support.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Role: Apache Airflow Support Consultant

Location: USA (Fully Remote)

Visa: USC/H1B

Duration: 6+ months

 

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)

 

Skills

Docker
AWS
Airflow
Apache
CloudFormation
Compliance
Grafana
Kubernetes
Prometheus
Python
Terraform
Triage

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