> Markdown version of [/jobs/ext/3006058-senior-data-engineer-airflow-dbt-kubernetes-openshift](https://www.wearedevelopers.com/jobs/ext/3006058-senior-data-engineer-airflow-dbt-kubernetes-openshift). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Engineer - Airflow, dbt, Kubernetes/OpenShift

- **Company:** Akaasa Technologies
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $141,400.0 - $171,100.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Airflow, Databases, Continuous Integration, Information Engineering, Database Queries, Python (Programming Language), OpenShift, Oracle Warehouse Builder, Performance Tuning, Query Optimization, SQL Databases, Workflow Management Systems, Data Processing, Cloud Platform System, Macros, Containerization, Git Flow, Kubernetes, Data Management, Data Pipelines, Legacy Systems
- **Published:** September 19, 2026
- **Apply:** https://www.careerjet.com/jobad/us4c651967403724461c7281678ad5ee10

## About the Role

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, with deep expertise in Apache Airflow, dbt Core, Python, SQL, Kubernetes, and OpenShift.
This role will focus on building, operating, and optimizing scalable data pipelines supporting financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have strong experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.
Required Skills & Qualifications

 * 10+ years of professional experience in data engineering, analytics engineering, or platform engineering.
 * Proven experience designing and supporting enterprise-scale data platforms in production environments.
 * Expert-level experience with Apache Airflow, including DAG design, scheduling, orchestration, and performance tuning.
 * Expert-level experience with dbt Core, including data modeling, testing, macros, incremental models, and implementation.
 * Strong Python skills for data engineering and automation.
 * Strong SQL skills for complex transformations, analytics, and query optimization.
 * Deep understanding of Kubernetes and/or OpenShift in production environments.
 * Experience with distributed workload management and performance optimization.
 * Experience running data platforms in cloud environments.
 * Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows.
 * Experience supporting financial services or accounting platforms is preferred.
 * Experience with enterprise system migrations from legacy platforms to modern data stacks is preferred.
 * Experience with Oracle data warehouses/databases is preferred.

## Description

Are you ready to be part of something big? We're hiring for the Commercial Solutions Engineer on our Sales Team! In this role, you'll engage with key decision-makers, forge impac…

 + 7 hours ago, Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been …
 + 2 days ago
+


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Why Git Still Matters](https://www.wearedevelopers.com/videos/100288-why-git-still-matters)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)