Python Developer

Update: Hands on DBT & Oracle database to be mandatory for this role

NO OPT

Title: Python Developer

Employment Type: Contract

City: Jersey City

State: NJ

Description:

Location: NJ

Hybrid: Yes 3 days onsite

Interview Process: 1 video (screening) / 2nd round 2 hour onsite

Start Date: ASAP

Must Haves:

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• Oracle database experience
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• Finance experience is nice to have
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• ETL background/Python Shell Script
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• Linux both advanced & fundamental
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• Airflow
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Python Developer

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.

You will play a critical role in replacing legacy Perl/PLSQL scheduling logic with modern, Python-based DAG orchestration while ensuring traceability, data quality, and recoverability.

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.