> Markdown version of [/jobs/ext/1907142-python-apache-spark-airflow-engineer](https://www.wearedevelopers.com/jobs/ext/1907142-python-apache-spark-airflow-engineer). 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). --- # Python/Apache Spark + Airflow Engineer - **Company:** Accenture - **Location:** Cleveland, OH, United States - **Experience:** Expert - **Salary:** $91,520.0 - $112,320.0 - **Contract:** Permanent contract - **Skills:** Airflow, Business Systems, Python (Programming Language), Apache Spark, Reliability of Systems, Programming Languages - **Published:** August 3, 2026 - **Apply:** https://www.dice.com/job-detail/2c5d4fb4-1e52-44b3-b4f6-93bc68f86f42 ## About the Role * 5+ years of work experience * Advanced proficiency in Python (Programming Language) * Advanced proficiency in Apache Spark * Advanced proficiency in Apache Airflow * Associate's degree, * Banking experience * Client facing * Bachelor's degree ## Description * Act as a software detective, providing a dynamic service by identifying and solving issues within multiple components of critical business systems. * You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions. * Providing solutions to problems for your immediate team and across multiple teams is a vital part of this role. * Develop a deep understanding of system components to quickly diagnose and resolve complex issues. * Support and guide team members by sharing expertise and fostering collaborative problem-solving. * Contribute to the continuous improvement of support processes and tools to enhance system reliability. * Engage proactively with stakeholders to communicate status, risks, and solutions effectively. * Analyze recurring problems to identify root causes and implement long-term preventive measures. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [APIs and Architecture for scaling omnichannel payments](https://www.wearedevelopers.com/videos/90-apis-and-architecture-for-scaling-omnichannel-payments) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 13 Best Python Libraries for Developers in 2025](https://www.wearedevelopers.com/magazine/371-the-13-best-python-libraries-for-developers-in-2025) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers)