Senior Data Engineer

Description

SAIC is seeking a Senior Data Engineer with a passion for learning and problem solving to join our team in the DC Metro area. This is a Hybrid Remote position and travel to the office is required as needed. Also, must have an active Secret clearance.

The ideal candidate will be responsible for designing and implementing data migration processes, integrating data from various sources, and ensuring the secure and efficient handling of both structured and unstructured data.

Proficiency with Talend, Qlik Replicate, and cloud platforms such as Azure or AWS is highly desirable.

The successful candidate will play a key role in optimizing and securing our data migration and integration workflows and responsibilities include:

• Collaborate with data architects and project managers to develop comprehensive data migration strategies for structured (e.g., relational databases) and unstructured data (e.g., documents, media).
• Use Qlik Replicate for real-time replication, Change Data Capture (CDC), and data migration from source databases to target environments.
• Design, implement, and optimize Talend ETL/ELT pipelines for batch processing and transformation of structured and unstructured data.
• Ensure data integration across diverse sources (on-premises, cloud, ADLS, databases) into platforms like Azure, AWS, and Dataverse.
• Automate tasks such as data validation, transformation, and reconciliation to ensure efficiency and consistency.
• Perform data profiling, cleansing, and transformation to support accurate mapping and merging of data formats.
• Conduct thorough testing (unit, integration, performance) and ensure the accuracy and completeness of migrated data.
• Troubleshoot data migration issues, optimize performance, and provide post-migration support.
• Create and maintain documentation for ETL workflows, data migration scripts, and configuration settings.
• Collaborate closely with stakeholders to provide status updates and resolve data-related challenges.
• Stay up-to-date with the latest data engineering tools, technologies, and best practices.

Qualifications

Required Education and Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related field and f ive (5) years or more of experience in data engineering, specifically with data migration and integration projects; years of experience may be substituted in lieu of a degree.

Required skills:

• Proficiency with Talend, Qlik Replicate, and cloud platforms such as Azure or AWS is highly desirable.
• Hands-on experience with Talend for ETL/ELT processes and Qlik Replicate for data replication and CDC.
• Experience with cloud platforms such as Azure or AWS for data migration and storage.
• Strong understanding of data modeling, data architecture, and data governance principles.
• Familiarity with SQL and NoSQL databases, as well as experience with large-scale data integration projects.
• Proficiency in working with both structured (relational databases, data warehouses) and unstructured data (files, NoSQL, media).
• Strong analytical, problem-solving, and debugging skills.
• Excellent verbal and written communication skills for collaboration across teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Required clearance:

• Must have an active Secret clearance.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.