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# Data Engineer w/ Python

- **Company:** Stellent IT LLC
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, CA Workload Automation Ae, Big Data, Code Review, Databases, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Data Governance, Extract Transform Load (ETL), Linux, Perl (Programming Language), Fault Tolerance, Job Scheduling, Python (Programming Language), Oracle Databases, Oracle (Applications), Shell Script, SQL Stored Procedures, PL-SQL, Systems Integration, File Transfer Protocol (FTP), Enterprise Software Applications, Git, Data Lineage, Bitbucket, Restful APIs, Sql Tuning, Jenkins
- **Published:** October 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us5e21ca1c03dfd3b3bb4759e6eccda99f

## About the Role

* **Resume Constraint:** Resumes MUST be 3 pages or less.
 * 5+ years of Python development experience, with a strong understanding of system/process automation.
 * **Hands-on dbt & Oracle database experience is MANDATORY.**
 * Solid understanding of Oracle 19c database, SQL tuning, and PL/SQL concepts.
 * 2+ years of Apache Airflow building production DAGs.
 * Experience orchestrating jobs that move large volumes of data across enterprise systems.
 * ETL background and experience with Python Shell Scripts.
 * Advanced and fundamental Linux knowledge.
 * 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.

**Preferred:**

 * Prior experience modernizing legacy data workflows from Perl or PL/SQL stored procedures.
 * Finance industry experience.
 * 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.

## 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. 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.
*Project Details:*needs to modernize a large codebase of 700-800 legacy Perl scripts that interact with an Oracle database. You will assess, test, and redevelop these scripts to a more streamlined and testable solution using Python, dbt, and Apache Airflow.
### Key Responsibilities & Outcomes

 * 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.
 * Automate and streamline jobs and processes, integrating with an Oracle database using PL/SQL.