We’re looking for a Freelance Senior Data Engineer with strong Python and Data Engineering expertise to support an eCrime Defense team focused on detecting, investigating, and preventing cyber threats.
Key Responsibilities
Build and maintain scalable data pipelines using Python
Develop ETL workflows for security data, threat intelligence, and incident response
Integrate and enrich external threat intelligence feeds
Work with cybersecurity teams to build data-driven solutions
Design and optimize cloud-based data models
Implement data validation, quality checks, and anomaly detection
Monitor and troubleshoot data pipelines in real time
Ensure data security, integrity, and compliance
Required Skills
5+ years of Data Engineering experience
Strong hands-on Python development
Experience with ETL and data pipelines
Strong knowledge of Pandas, PySpark, Requests, SQLAlchemy, and SQL
Experience with AWS, Azure, or GCP
Robust understanding of data modeling, validation, and governance
Familiarity with STIX/TAXII, Syslog, NetFlow , or similar cybersecurity data formats
Good to Have
Apache Airflow, Kafka, or Spark
SIEM platforms such as Splunk or Microsoft Sentinel
Understanding of cyber threat TTPs / eCrime
AWS, GCP, or GIAC certifications