Atlas Tech
Data Engineer
Atlas Tech, Alexandria, Virginia, us, 22350
We are seeking a 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 Range: $120,000 - $165,000
Travel Up To 20%
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:
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. Experience with Confluent Platform and Kafka a plus. 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:
"To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess
"With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy
Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.
Pay Range: $120,000 - $165,000
Travel Up To 20%
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:
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. Experience with Confluent Platform and Kafka a plus. 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:
"To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess
"With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy
Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.