> Markdown version of [/jobs/ext/1760818-lead-data-ai-native-engineer](https://www.wearedevelopers.com/jobs/ext/1760818-lead-data-ai-native-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).

---

# Lead Data / AI Native Engineer

- **Company:** SRI Tech Solutions Inc.
- **Location:** St. Louis, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Distributed Computing Environment, Software Tools, Software Engineering, Enterprise Data Management, Cloud Platform System, Data Ingestion, GitHub Copilot, Apache Spark, Pyspark, Data Management, Data Pipelines, Amazon Elastic Mapreduce (EMR), Databricks
- **Published:** July 22, 2026
- **Apply:** https://www.dice.com/job-detail/f4bd24f3-ebcc-4aab-8e51-188507b2b864

## About the Role

8+ years of Data Engineering and Software Engineering experience.
3+ years leading complex data engineering initiatives or engineering teams.
Proven experience building enterprise-scale data platforms and pipelines.
Experience delivering cloud-native analytics and AI solutions. Build highly available, secure, and scalable cloud-native data solutions.
Develop ETL/ELT frameworks for ingesting, transforming, and publishing enterprise data.
Implement high-volume distributed processing using Spark and PySpark.
Leverage GitHub Copilot, Claude Code CLI, and AI-assisted development tools to accelerate engineering productivity.
Technical Skills
Build Proof of Concepts (POCs) and MVPs using AI-powered development approaches.
Develop cloud-native solutions leveraging AWS and Databricks ecosystems.
Build scalable architectures for data ingestion, processing, storage, and analytics.
Key Expectations
Strong experience in building enterprise-grade data pipelines, modern Lakehouse architectures, AI-enabled data products, and cloud-native platforms leveraging Databricks, AWS EMR, Spark, PySpark, and AI-native engineering tools such as GitHub Copilot and Claude Code.
The role aligns with enterprise initiatives around AI-assisted engineering, intelligent automation, and AI-powered development workflows



## 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)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [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)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [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)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)