> Markdown version of [/jobs/ext/4145831-data-engineer](https://www.wearedevelopers.com/jobs/ext/4145831-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:** Safe-Guard Products International, LLC
- **Location:** Sandy Springs, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Security, Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Google Cloud, Data Ingestion, Snowflake, Information Technology, AWS Glue, Looker Analytics, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/ebc20f07-2fbf-4d94-a450-9f42e0fa9502/data-engineer

## About the Role

* Bachelor's degree in information systems, Computer Science, or related field; Master's degree preferred; Equivalent combination of education and experience might be considered.
 * 6 to 10 years of experience in data engineering
 * Proficiency in SQL and Python.
 * Experience with data pipeline tools (e.g., Apache Airflow, DBT, Snowflake, AWS Glue).
 * Familiarity with cloud platforms (AWS, Azure, GCP).
 * Needs experience with Analytical tools (PowerBI, Looker, and Tableau).
 * Strong leadership and project management skills.
 * Advanced knowledge of distributed data processing.
 * Expertise in data modeling and data warehousing.
 * Experience with CI/CD and DevOps practices.

## Description

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform., The Data Engineer leads complex data engineering projects and drives innovation in data architecture and automation., * Oversee the end-to-end delivery of large-scale data engineering initiatives.

 * Guide and develop junior engineers through code reviews and knowledge sharing.
 * Design scalable and secure data architectures in collaboration with architects.
 * Implement automation for data ingestion, transformation, and deployment.
 * Proactively monitor data pipelines and resolve technical issues.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.