Python Developer

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

Job Overview

Job ID: J53895

Job Title: Python Developer

Location: Jersey City, NJ (Remote)

Duration: 12 Months + Extension

Domain Exposure: Healthcare

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Bill Rate: $84/hour (C2C)

Job Description

We're seeking an experienced Python Developer to lead the automation and orchestration of complex data workflows. The ideal candidate will have hands-on experience designing robust, fault-tolerant, and auditable pipelines across on-prem Oracle systems, integrating with job schedulers like RunMyJobs, and modernizing legacy processes using Apache Airflow.

Key Responsibilities

• Develop, deploy, and maintain Python-based automation scripts to orchestrate jobs across Oracle 19c on-prem systems.
• Design and implement Airflow DAGs to manage complex interdependent ETL workflows.
• Migrate existing job logic from Perl, RunMyJob, and PL/SQL-based scheduling into modular, observable Airflow DAGs.
• Build custom Airflow operators/sensors for integration with Oracle, REST APIs, file drops (SFTP/FTP), and external triggers.
• Implement robust error handling, alerting and retry mechanisms across job pipelines.
• Collaborate with DBAs and application teams to understand job dependencies, critical paths, and data lineage.
• Establish job execution logs, audit trails, and SLA monitoring dashboards.
• Participate in code reviews, documentation, and onboarding new jobs into the orchestrator.

Required Skills and Experience

• 5+ years of Python development experience, with strong understanding of system/process automation.
• 2+ years of Apache Airflow building production DAGs.
• Solid understanding of Oracle 19c database, SQL tuning, and PL/SQL concepts.
• Experience orchestrating jobs that move large volumes of data across enterprise systems.
• Familiarity with job schedulers (RunMyJob, Autosys, etc.) and how to replace/abstract them using orchestration tools.
• Strong debugging skills across logs, databases, and filesystem for failed jobs or partial runs.
• Experience building REST API integrations, SFTP/file movement logic, and parameter-driven automation.

Bonus / Preferred Experience

• Prior experience modernizing legacy data workflows from Perl or PL/SQL stored procs.
• Hands-on knowledge of Git/Bitbucket, Jenkins, CI/CD pipelines for code-controlled job rollouts.
• Familiarity with financial data models (e.g., holdings, transactions, NAVs, tax lots).
• Basic understanding of data governance, audit, and operational risk in financial systems.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.