Sr. Python Developer - Airflow & Oracle Automation Remote

MACHINE LEARNING TECHNOLOGIES LLC; Jersey City (NJ); Remote; USD 95,000 - 136,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Jersey City, NJ, is seeking an experienced Python Developer to lead automation of data workflows. You will design robust Airflow DAGs, orchestrate Oracle 19c jobs, and migrate legacy scheduling to observable pipelines, across on-prem systems.

Required: 5+ years Python, 2+ years Airflow, Oracle 19c, and experience with RunMyJob/Autosys. Strong debugging, REST API and SFTP/file movement skills are essential. This role offers remote options.

Qualifications

• 5+ years of Python development.
• 2+ years building production Airflow DAGs.
• Strong Oracle 19c/PLSQL knowledge and SQL tuning.
• Experience moving large data across enterprise systems.
• Familiar with RunMyJob, Autosys or similar schedulers.
• Excellent debugging across logs, DBs and FS.
• REST API integrations and SFTP/FTP file transfers.

Responsibilities

• Develop, deploy, and maintain Python automation scripts for Oracle 19c.
• Design Airflow DAGs to manage complex ETL workflows.
• Migrate Perl/PL/Job scheduling to modular Airflow DAGs.
• Build custom Airflow operators/sensors for Oracle and APIs.
• Implement error handling, alerting and retries for pipelines.
• Collaborate with DBAs to map dependencies and data lineage.
• Establish job logs, audit trails and SLA dashboards.
• Participate in code reviews and onboarding new jobs.

Skills

Python development

Airflow DAGs

SQL/PLSQL

Job orchestration

REST API integration

SFTP/FTP file transfers

Debugging across logs

Education

Bachelor's degree or equivalent

Tools

Oracle 19c

RunMyJob

Autosys

Git/Bitbucket

Jenkins CI/CD

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Jersey City, NJ, is seeking an experienced Python Developer to lead automation of data workflows. You will design robust Airflow DAGs, orchestrate Oracle 19c jobs, and migrate legacy scheduling to observable pipelines, across on-prem systems.

Required: 5+ years Python, 2+ years Airflow, Oracle 19c, and experience with RunMyJob/Autosys. Strong debugging, REST API and SFTP/file movement skills are essential. This role offers remote options.