> Markdown version of [/jobs/ext/3661943-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3661943-senior-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).

---

# Senior Data Engineer

- **Company:** Stem
- **Location:** Halethorpe, MD, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Apache Hadoop, Python (Programming Language), NoSQL, Search Technologies, SQL Databases, Parquet, Retrieval-Augmented Generation, Apache Spark, Cloudformation, Event Driven Architecture, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Amazon Bedrock, Avro, Apache Kafka, Data Management, Terraform, Data Pipelines, Docker
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75938046-senior-data-engineer

## About the Role

* 7+ years of professional experience in data engineering, cloud engineering, platform engineering or related fields.
 * Strong experience with Python, SQL, and Apache Spark
 * Hands-on experience building scalable ETL/ELT pipelines and data processing workflows.
 * Experience designing and deploying data platforms within AWS.
 * Strong knowledge of relational and NoSQL databases, data lakes, and modern data architectures.
 * Experience with AWS data orchestration and data platforms such as MWAA/Airflow, Glue, EMR, S3, Redshift, Lambda, and Step Functions
 * Experience with CI/CD and Infrastructure as Code practices.
 * Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

Nice to Have:

 * Experience with dbt, Apache Iceberg, Parquet, Avro, or ORC.
 * Experience with Kafka or other event-driven architectures.
 * Background building AI-enabled data solutions, including RAG, vector search, or Amazon Bedrock.
 * Experience with Docker, Kubernetes, Terraform, or CloudFormation.
 * Experience modernizing legacy data platforms or migrating Hadoop/ETL environments to the cloud.
 * Experience supporting federal, financial services, or other highly regulated environments.
 * Familiarity with NIST 800-53 or FedRAMP.