Data Engineer Leader
3 weeks ago
**Company Overview**
At The MITRE Corporation, we strive to tackle the nation's most pressing challenges. Our not-for-profit organization operates R&D centers for the government, driving lasting impact in various fields, including cybersecurity, healthcare, and defense.
**Job Description**
We are seeking a highly skilled Senior Data Engineer to join our Enterprise Data Warehouse team. This is an exciting time to be part of our team as we evolve to cloud-based hybrid data and real-time data access. As a Senior Data Engineer, you will design, develop, and implement robust ETL solutions using Python and PySpark to extract, transform, and load data from various sources into AWS services.
**Responsibilities**
- Design, develop, and implement ETL solutions using Python and PySpark to extract, transform, and load data from various sources into AWS services.
- Optimize ETL processes for performance and scalability utilizing AWS Glue, EMR, Step Functions, and Lambda to ensure efficient data processing and timely delivery.
- Ensure data integrity and quality throughout the ETL process by implementing thorough data validation checks and error handling mechanisms.
- Manage AWS services such as Glue, EMR, Step Functions, and Lambda, including configuration, monitoring, and troubleshooting to maintain operational excellence.
- Collaborate with cross-functional teams including data engineers, data scientists, and business stakeholders to understand data requirements and deliver tailored ETL solutions.
**Requirements**
- Bachelor's degree with eight years' related experience, or a master's degree with six years' related experience, preferably with a technical major such as engineering, computer science, etc.
- Self-motivated, curious, and collaborative, with a passion to learn new technologies and develop new skills.
- Demonstrated experience in developing ETL pipelines using Python and PySpark, with a strong understanding of data processing techniques.
- Expertise in SQL for data manipulation, querying, and optimization to work with various database platforms including Postgres, DynamoDB, Oracle, and Redshift.
- Hands-on experience with AWS Glue, EMR, Step Functions, and Lambda for building and orchestrating ETL workflows in a cloud environment.
**Estimated Salary:** $140,000 - $170,000 per year, depending on qualifications and experience.
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