We are seeking a Mid-Level Data Engineer with a passion for learning and problem-solving to join our team. 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.

Pay band - $120,000 - $140,000

You Will:

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.

You Have:

U. S. Citizenship
A minimum of a Department of Defense (DoD) Secret level Security Clearance
Bachelor’s degree in Computer Science, Information Technology, or a related field.
3+ years of experience in data engineering, specifically with data migration and integration projects.
Hands-on experience with Talend for ETL/ELT processes and Qlik Replicate for data replication and CDC.
Proficiency in working with both structured (relational databases, data warehouses) and unstructured data (files, NoSQL, media).
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.
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.

This position offers a unique opportunity to contribute to cutting-edge data migration and integration projects while optimizing the performance and security of our data workflows. If you are passionate about data engineering and have the required skills and experience, we encourage you to apply.

Want to hear more? Read on to see what our Team Members say about their experience:

“Atlas Tech has the culture, trust, and fairness that you expect of the best of communities. I feel lucky to be part of their amazing journey of growth as a standout organization.” - Syed

“You are not just a number here at Atlas. I have been with Atlas for over 13 years now I can say that Atlas displays a genuine interest in its employees. This is evidenced in its commitment to mentoring every employee and providing educational paths for each employee’s personal and professional growth within the company.” - Ian

Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.

Atlas Technologies Inc

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Mid-Level Data Engineer