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# Data Engineer

- **Company:** American CyberSystems
- **Location:** Charlotte, NC, United States (Remote available)
- **Salary:** $104,000.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Automation of Tests, CA Workload Automation Ae, BigQuery, Code Review, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Unix Shell, Oracle (Applications), Performance Tuning, Scrum Methodology, PL-SQL, SQL Databases, Teradata SQL, Apache Spark, Ab Initio, Git, Pyspark, Legacy Systems, Jenkins
- **Published:** August 12, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022496&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Data Engineering experience.
 * Experience in PL/SQL and SQL with Oracle, Teradata, Python, and/or BigQuery (complex query development, tuning, debugging).
 * Experience in Ab Initio (complex graphs, Psets, performance tuning).
 * Experience in Unix Shell scripting.
 * Experience in Python and PySpark for distributed data processing.
 * Experience in ETL design, data warehousing concepts, and data modeling best practices.

 * Experience in Financial Services or Mortgage industry experience.
 * Experience in hybrid environments (on?prem + cloud) and modernization initiatives.
 * Scheduling/orchestration with Autosys and Airflow/Cloud Composer.
 * Git?based workflows, code reviews, automated testing practices.
 * CI/CD with Harness, Jenkins, uDeploy.
 * Ab Initio migration to modern Spark/SQL patterns.
 * Data governance with Dataplex and Informatica Data Quality.
 * Experience designing near real?time patterns (micro?batch/event?driven).
 * Familiarity with GCP operational practices (IAM, monitoring, quota/cost controls).

## Description

* Design, build, and maintain scalable batch and near real?time ETL pipelines using Ab Initio, Python, PySpark, SQL, and PL/SQL.
 * Consolidate, cleanse, normalize, and transform data from mortgage?related systems into enterprise data products.
 * Support migration from legacy platforms to GCP, leveraging BigQuery, Dataplex, and cloud?native orchestration.
 * Build, schedule, and deploy solutions through enterprise CI/CD pipelines (Jenkins, Harness, uDeploy).
 * Partner with Product Owners, Architects, Engineers, and business stakeholders across U.S. and India?based Scrum teams.
 * Support monitoring, incident response, root cause analysis, and production reliability.


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