> Markdown version of [/jobs/ext/1340134-data-engineer](https://www.wearedevelopers.com/jobs/ext/1340134-data-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).

---

# Data Engineer

- **Company:** Stellent IT LLC
- **Location:** Madison, WI, United States
- **Experience:** Expert
- **Salary:** $128,000.0 - $140,800.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Extract Transform Load (ETL), Database Queries, Azure Data Lake, Azure Data Factory, Collibra, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 18, 2026
- **Apply:** https://www.careerjet.com/jobad/usaf7c66b87082dcc1c68e4c38b0e92c2d

## About the Role

* Hands-on experience with Telmai or similar data observability tools.
 * Strong SQL skills and knowledge of ETL/ELT pipelines.
 * Proficiency with Azure Data Platform (ADF, Databricks, Synapse, ADLS).

Preferred Skills:

 * Experience with Monte Carlo, Great Expectations, or Deequ.
 * Knowledge of data governance tools like Purview or Collibra.
 * Familiarity with AI/ML pipelines.

## Description

Job Details: Join our team to ensure data reliability using Telmai. You will drive data quality monitoring, anomaly detection, and pipeline observability to support analytics and AI solutions., * Implement Telmai for continuous data quality monitoring and validation.

 * Ensure end-to-end visibility of data pipelines and detect anomalies using AI.
 * Perform root cause analysis and collaborate on remediation.
 * Integrate Telmai with Azure Data Lake, Databricks, and Synapse.
 * Maintain data governance, lineage, and compliance.


## 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)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [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)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)

## Related Articles

- [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)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [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)
- [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)