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# Data Integration/Automation Engineer

- **Company:** Everforth Apex
- **Location:** Oxon Hill, MD, United States
- **Salary:** $176,800.0 - $208,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Airflow, Automation of Tests, Databases, Continuous Integration, Data Cleansing, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Workflow Management Systems, Snowflake, Reliability of Systems, Google Bigquery, Data Pipelines, Amazon Redshift
- **Published:** June 12, 2026
- **Apply:** https://www.dice.com/job-detail/80732170-af85-43d3-81be-16c8c4aa7280

## About the Role

* Top Secret Clearance
 * 13+ Years of Relevant Experience
 * IAT Level III Certified (CISSP, CASP, CISA, etc.)
 * Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake

## Description

* Design and maintain cybersecurity automations, connectors, data pipelines, and dashboards that reduce manual effort and improve risk visibility across tools and workflows.
 * Perform Data Pipeline Automation by creating and managing end-to-end pipelines that ingest data from diverse sources (APIs, databases, IoT) and deliver it to data warehouses or lakes.
 * Perform ETL/ELT Optimization by automating extraction, transformation, and loading processes to ensure data is clean, standardized, and ready for analysis.
 * Perform Data Quality & Observability by implementing automated tests, anomaly detection, and real-time alerts to validate data integrity and identify issues.
 * Perform Workflow Orchestration by scheduling and managing dependencies for data jobs using tools like Apache Airflow or Prefect.
 * Perform System Reliability & Maintenance by building self-healing pipelines that automatically retry failed tasks and scale resources based on demand.
 * Perform Data Cleansing & Validation by running automated scripts to detect anomalies, impute missing values, or mask sensitive information.
 * Perform CI/CD Integration by implementing continuous integration and deployment for data pipelines.


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