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# Data Engineer - Data Engineer IV

- **Company:** Everforth Apex
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $158,080 - $178,880
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Computing, Databases, Continuous Delivery, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Mining, Data Structures, Data Systems, Data Visualization, Data Warehousing, Database Queries, Dimensional Modeling, Machine Learning, Performance Tuning, Cloud Services, Technical Data Management Systems, Workflow Management Systems, Scripting, Information Technology, Data Analytics, Enterprise Integration, Software Version Control, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/f8e6a5b0-68a4-4ade-83d9-1af7ea884892

## About the Role

Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field.

Experience: Five or more years of experience in data analytics, data engineering, or business intelligence, with a proven track record of conducting root cause analysis, implementing pipeline fixes, and translating business requirements into technical solutions.

Technical Skills: Expert-level proficiency in database query development, including complex joins, window functions, common table expressions, and performance tuning. Hands-on experience with orchestration tools, automated scripting, data warehouse architecture, and cloud services., * Experience building and managing optimized datasets, calculated fields, and parameters within visualization tools.

 * Familiarity with data quality frameworks, data validation, and data governance standards.
 * Experience with automated workflow management and operational reporting tools.
 * Hands-on experience with artificial intelligence, machine learning, or generative AI tools to automate repetitive tasks.
 * Familiarity with version control systems and continuous integration/continuous deployment pipelines.
 * Experience working within structured project management methodologies.

## Description

* Conduct root cause analysis on data quality issues, pipeline failures, reporting discrepancies, and business anomalies to implement permanent resolutions.
 * Build enhancements to existing data pipelines, reports, metrics, and analytics solutions to improve performance, accuracy, and coverage.
 * Convert business requirements into technical data solutions, translating stakeholder needs into structured database logic, pipeline changes, report designs, and data model updates.
 * Collaborate with business stakeholders to define metrics and key performance indicators, driving the implementation of measurement frameworks that track operational health.
 * Create intuitive dashboards, reports, analyses, and datasets to deliver actionable insights to stakeholders at all levels.
 * Write advanced database queries for complex data extraction, transformation, analysis, and performance optimization across large-scale datasets.
 * Leverage expertise in integration concepts and data warehouse design, including dimensional modeling, to analyze organizational data structures.
 * Read, interpret, and troubleshoot orchestration workflows to identify root causes of failures and drive fixes with engineering teams.
 * Develop automated scripts and processing workflows to streamline reporting and analytics.
 * Utilize cloud infrastructure and automation tools to support and enhance robust data solutions.