Guidehouse
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Guidehouse. Skills: Data engineering, ETL, Cloud platforms, Data pipelines. Design ETL pipelines. Build ETL pipelines”
Industry & Context.
Troubleshoot data workflows; Optimize data workflows
Active Secret clearance, DoD security clearance
What They're Looking For.
Must Have
Active Secret clearance, Bachelor's degree, 4+ years data engineering, 4+ years ETL development, Proficiency in Python, Proficiency in SQL, Proficiency in data pipeline tools
Nice to Have
Master's degree, Big data technologies experience, Data warehousing knowledge, Data governance knowledge, Relational databases understanding, NoSQL databases understanding, API integration experience, Data connectors experience, Troubleshoot data workflows, Optimize data workflows, Excellent communication skills, Excellent documentation skills, DevSecOps knowledge, CI/CD knowledge, Advanced analytics platforms experience, Geospatial data integration familiarity, Cloud technologies certifications, Robotic process automation tools experience, Cybersecurity requirements knowledge, Air Force data environments knowledge, DoD data environments knowledge, Agile development methodologies experience
What You'll Do.
Integrate data sources
Ensure data consistency
Ensure data governance
Develop automated workflows
Collaborate with data scientists
Optimize database performance
Implement indexing strategies
Maintain secure data transfer protocols
Maintain compliance standards
Document data architecture
Document integration processes
Provide technical support
How You'll Work.
Team & Collaboration
Data scientists
Communication Scope
Documentation skills
Process & Methodology
Agile development
Full Job Description
**_Job Family_ :** Management Consulting ** _Travel Required_ :** None ** _Clearance Required_ :** Active Secret ** _What You Will Do_ :** * Design and build ETL pipelines for AFIMSC data platforms. * Integrate data sources into cloud-based environments (Advana, VAULT, BLADE). * Ensure data quality, consistency, and governance across systems. * Support migration of civil engineering data platforms to cloud infrastructure. * Develop automated workflows for data ingestion and transformation. * Collaborate with data scientists to enable AI/ML model deployment. * Optimize database performance and implement indexing strategies. * Maintain secure data transfer protocols and compliance standards. * Document data architecture and integration processes. * Provide technical support for data-related issues and enhancements. **_What You Will Need_ :** * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. * Bachelor’s degree in Computer Science, Data Engineering, or related field. * FOUR (4) or more years of experience in data engineering and ETL development. * Proficiency in Python, SQL, and data pipeline tools (Databricks, Airflow). * Experience with cloud platforms (AWS, Azure, GCP). **_What Would Be Nice To Have_ :** * Master’s degree in Data Engineering or related discipline. * Experience with big data technologies (Spark, Hadoop). * Knowledge of data warehousing and governance principles. * Strong understanding of relational and NoSQL databases. * Experience with API integration and data connectors. * Ability to troubleshoot and optimize data workflows. * Excellent communication and documentation skills. * Knowledge of DevSecOps and CI/CD for data pipelines. * Experience with advanced analytics platforms (Advana, VAULT). * Familiarity with geospatial data integration. * Certifications in cloud technologies (AWS, Azure). * Experience with robotic process automation tools. * Understanding of cybersecurity requirements for data systems. * Knowledge of Air For
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