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# Data Engineer - Onsite

- **Company:** Genesis10
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $123,344.0 - $144,144.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Business Analytics Applications, Data Analysis, Data Validation, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Meta-Data Management, Software Engineering, SQL Databases, Tableau (Software), Unstructured Data, Data Processing, Cloud Platform System, Data Strategy, Data Lineage, Data Analytics, Qlikview, Tools for Reporting, Spotfire
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/ee1a8a77-df29-4380-bc50-9488a02ac7d6

## About the Role

* 5 years of experience in data engineering, data analytics, or software development, preferably within financial services or internal audit
 * Strong hands-on experience with Python, Java, or Slang for data processing, automation, and analytical solution development
 * Experience designing and developing ETL pipelines to extract, transform, integrate, and analyze structured and unstructured data
 * Strong proficiency in SQL, relational databases, data modeling, data integration, and data quality validation
 * Experience with data governance, data entitlement management, access controls, and data integrity
 * Hands-on experience developing dashboards, reporting solutions, and reusable analytical tools using Tableau, Spotfire, QlikView, or similar BI platforms
 * Ability to gather business and technical requirements, identify appropriate data sources, and develop scalable analytics solutions
 * Experience automating data analytics workflows, reporting processes, and data validation activities
 * Understanding of audit analytics, risk assessment, internal controls, sample selection, and control-gap analysis
 * Strong analytical and problem-solving skills with the ability to identify data anomalies, discrepancies, and potential risks
 * Experience collaborating with audit, risk, compliance, and technology teams to deliver data-driven solutions
 * Excellent communication skills with the ability to translate complex technical findings into actionable business insights

Desired skills:

 * Experience supporting Internal Audit (IA), Risk Management, or Compliance within financial services
 * Familiarity with audit data strategies, continuous monitoring, and automated control testing
 * Experience with cloud-based data platforms and modern data engineering technologies
 * Knowledge of data lineage, metadata management, and regulatory reporting requirements

## Description

* Perform data modeling, engineering, governance, and entitlement management
 * Gather audit-specific data requirements and support sample selection, control-gap analysis, source completeness, and data integrity
 * Build reusable analytical and reporting tools using Tableau, Spotfire, QlikView, or similar platforms
 * Perform ETL and analysis of structured and unstructured data and develop code in Python, Java, or Slang
 * Standardize and automate audit and data analytics processes
 * Execute IA's Embed DA data strategy across risk assessment, audit planning, reusable tools, and complex analytical solutions
 * Partner with audit teams on risk identification, strategic data sourcing, and more efficient audit testing
 * Maintain effective relationships and communications with audit teams