Senior Data Engineer – Oracle (Enterprise Data Platforms)

King of Prussia, Pennsylvania, United StatesHybridContractSeniorPosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Senior Oracle Data Engineer to lead enhancements for a large-scale enterprise data platform. This role focuses on Oracle-side design and delivery of new data attributes, including complex historical backfills, to support downstream data processing and integrations. Key responsibilities include designing and implementing Oracle ETL enhancements, extending data models, analyzing identifier normalization, and building automated historical extraction processes. The ideal candidate will have 6+ years of experience in Oracle-based data engineering with advanced SQL and PL/SQL, proven experience with historical backfills alongside incremental loads, and strong data modeling skills. Experience with regulated data domains is also required.

Senior Data Engineer – Oracle (Enterprise Data Platforms) —— 2 Engineers

Location: Hybrid - King of Prussia, PA

Role Summary

We are seeking a Senior Oracle Data Engineer to lead foundational data model and ETL enhancements for a large‐scale enterprise data platform. This role owns Oracle‐side design and delivery of new data attributes, including complex historical backfills, to support downstream data processing and file‐based integrations.

- Key Responsibilities
Design and implement
Oracle ETL enhancements
to support new and evolving data attributes across both
daily processing and multi‐year historical datasets
.
- Extend and maintain
Oracle data models and curated tables
to reliably support downstream analytics and extract‐driven consumers.
- Analyze and implement
identifier normalization and cross‐reference strategies
, assessing downstream impacts and data lineage.
- Build and automate
historical extraction and backfill processes
, ensuring alignment with go‐forward incremental loads.
- Produce data extracts and placeholder artifacts required for parallel development across multiple downstream teams.
- Partner closely with QA and downstream engineering to support integration testing, defect resolution, and production readiness.
- Required Qualifications
6+ years of experience in
Oracle‐based data engineering
, including advanced SQL and PL/SQL.
- Proven experience delivering
large historical backfills alongside ongoing incremental loads
.
- Strong data modeling skills and experience supporting extract‐heavy data platforms.
- Experience working with high‐volume, regulated, or compliance‐sensitive data domains.
- Preferred Qualifications
Experience with
Talend
or similar ETL orchestration frameworks.
- Familiarity with unique identifier generation and reconciliation strategies for historical datasets.
- Strong documentation and cross‐team collaboration skills in complex delivery environments.

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