Lead Data Engineer with Security Clearance
Found in: Dice One Red US C2 - 2 weeks ago
o Lead and mentor a team of data engineers, providing guidance and support in their daily tasks and career development.
o Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and prioritize projects.
2. Data Pipeline Development:
o Design and develop data pipelines to ingest, transform, and load data from various sources into data warehouses or data lakes.
o Ensure data pipelines are reliable, scalable, and maintainable.
3. Data Warehousing:
o Manage and optimize data warehousing solutions, such as data warehouses or data lakes, to store and organize large volumes of data efficiently.
o Design and implement schema structures to support analytics and reporting needs.
4. Data Integration:
o Integrate third-party data sources and APIs into the data ecosystem to enrich and enhance internal data.
o Ensure data integration processes are robust and handle data discrepancies gracefully.
5. Data Quality and Governance:
o Implement data quality checks, validation, and monitoring processes to ensure data accuracy and consistency.
o Establish data governance policies and procedures to maintain data security and compliance.
6. Performance Tuning:
o Monitor system performance and optimize data pipelines and databases for efficiency and speed.
o Troubleshoot and resolve performance issues as they arise.
7. Security and Compliance:
o Implement and maintain data security measures, including access controls and encryption, to protect sensitive data.
o Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and industry best practices.
8. Documentation and Collaboration:
o Create and maintain documentation for data pipelines, processes, and architecture.
o Collaborate with data stakeholders to understand their needs and provide data engineering solutions.
9. Technology Evaluation:
o Stay current with data engineering technologies and trends and evaluate new tools and platforms for potential adoption.
10. Project Management:
o Plan and execute data engineering projects, including resource allocation, timelines, and deliverables. QUALIFICATIONS
• Bachelor's degree in computer science, data engineering, or a related field or 5-7 years of relevant work experience.
• Proven experience in data engineering, with a strong background in data pipeline development and database management.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong SQL skills and expertise in data modeling and schema design.
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Leadership and team management skills.
• Knowledge of data governance, security, and compliance best practices.
• Effective communication and collaboration skills. SALARY: $188,000 Range annually, plus benefits. For consideration, please contact Melissa McNally via ALTA IT Services is a wholly owned subsidiary of System One, a leading provider of specialized workforce solutions and integrated services. ALTA is an established leader in IT Staffing and Services, for both government and commercial enterprises across the United States, specializing in Program & Project Management, Application Development, Cybersecurity, Data & Advanced Analytics, and Agile Transformation Services. We are an equal opportunity/affirmative action employer that considers qualified applicants for employment without regard to race, gender, age, color, religion, disability, veteran status, sexual orientation, or any other factor.
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