> Markdown version of [/jobs/ext/2082847-data-engineers](https://www.wearedevelopers.com/jobs/ext/2082847-data-engineers). 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). --- # Data Engineers - **Company:** Akaasa Technologies - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Information Engineering, Extract Transform Load (ETL), Amazon DynamoDB, HP Systems Insight Manager, Identity and Access Management, Python (Programming Language), Software Engineering, Data Streaming, Reinforcement Learning, Datadog, Apache Spark, AWS ECS, Data Lakes, Pyspark, AWS Glue, Apache Kafka, Cloudwatch, Restful APIs, Stream Processing, Splunk, Data Pipelines, Dynatrace - **Published:** August 16, 2026 - **Apply:** https://www.careerjet.com/jobad/us23769f8b97026d37830ef5700eed8980 ## About the Role * AWS Core Services: AWS ECS, S3, DynamoDB, AWS Glue, IAM roles, and bucket policies. * Kafka: Strong hands-on experience with real-time Kafka streaming architectures. * Python: Proficiency in custom Python development for data pipelines and API consumption. * Additional Technical Skills: Experience with API consumption (RESTful), application monitoring (CloudWatch, Splunk, Dynatrace), and cloud deployment. * Non-Technical Attributes: Genuine curiosity, honesty regarding skill boundaries, strong problem-solving initiative, and adaptability to pick up new tools (e.g., Claude Code, novel AI tools) quickly. ## Description * Build and maintain a real-time streaming connector application in AWS ECS using Python. * Implement real-time data streaming via Apache Kafka to continuously pull data from generative AI/chatbot applications, invoke Norm AI APIs, and process compliance review results. * Handle data engineering tasks, including processing compliance review feedback/comments and routing data to AWS S3 buckets and DynamoDB for downstream reinforcement learning and analysis. * Set up application and platform monitoring using tools like Splunk, CloudWatch, Dynatrace, or Datadog. * Optionally assist in long-term UI dashboard/application development for compliance metrics and review., Senior Data Engineer- Assessment required Hybrid Malvern, PA Technical Stack & Requirements: Core Competencies: Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concep… + 12 hours ago + Apply easily ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)