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# Data Engineer

- **Company:** Accenture
- **Location:** Addison, TX, United States
- **Experience:** Experienced
- **Salary:** $85,280.0 - $106,080.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, CA Workload Automation Ae, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Dimensional Modeling, Distributed Data Store, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Job Scheduling, Python (Programming Language), Apache Oozie, Oracle SQL Developer, Sqoop, Data Streaming, Apache Yarn, Git, Pyspark, Information Technology, Apache Kafka, Data Pipelines, Jenkins, Control M
- **Published:** September 5, 2026
- **Apply:** https://www.dice.com/job-detail/3ad3e098-c326-45cf-b146-7f8fec78e998

## About the Role

* 4+ years of experience as a Data Engineer in production environments
 * 4+ years of hands-on Python and PySpark development for large-scale ETL pipelines
 * 4+ years of Oracle PL/SQL and relational database development
 * 4+ years working with Hadoop ecosystem (HDFS, Hive, YARN)
 * 4+ years of enterprise batch job scheduling using Autosys or equivalent (Control-M, Oozie)
 * 3+ years of experience in data warehousing concepts (star/snowflake schema, dimensional modeling)
 * 3+ years of experience in data quality and reconciliation framework development
 * Experience in Financial Services, Retirement, or Banking domain
 * Bachelor's degree in Computer Science, Engineering, or related field, * Experience with Apache Kafka, Sqoop, or streaming data pipelines
 * Familiarity with AWS (S3, EMR) or equivalent cloud platforms
 * Experience with Apache Airflow or dbt for pipeline orchestration
 * Exposure to CI/CD pipelines using Jenkins or Git
 * Master's degree in a quantitative or technical discipline
 * Experience mentoring junior engineers or leading technical delivery

## Description

* Design and maintain high-volume batch ETL pipelines using Python/PySpark on Hadoop
 * Own Autosys job scheduling and dependency management for production batch operations
 * Modernize legacy Oracle PL/SQL systems into scalable distributed data pipelines
 * Build and maintain data quality and reconciliation frameworks
 * Collaborate with business, compliance, and analytics teams on SLA-driven deliverables

Clients require people to work onsite 3 days per week onsite with the client in Addison, TX. Also, 5 days of Time Away are mandated per calendar quarter.


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