Data Engineer - Senior - Posting #498 - job 1 of 2

As a Senior Data Engineer, your primary responsibilities will include developing, constructing, testing, and maintaining GIS databases and large-scale data processing systems. You will also clean and prepare AP LOB data, create geospatial data pipelines for efficient data consumption, and publish geospatial content from a GIS system, all while utilizing cloud computing technologies.

To be eligible for the Senior Data Engineer position, you should have extensive experience in data engineering, proficiency in programming languages and scripting tools, and a deep understanding of GIS systems. A TS/SCI clearance is mandatory, along with a proven track record in handling large-scale data processing projects.

The Senior Data Engineer plays a crucial role in integrating mission and intelligence data by developing and maintaining systems that ensure seamless interoperability. Your work will directly impact the ability of the Intelligence Community to access and utilize critical data for strategic decision-making, especially during peace and crisis situations.

A Senior Data Engineer should be well-versed in GIS technologies, cloud computing systems, and various programming languages such as Python or Java. Familiarity with data processing frameworks and tools like Apache Spark, SQL, and ETL processes is also beneficial for this role.

At our company, Senior Data Engineers have a wealth of opportunities for professional growth. You'll be encouraged to take on leadership roles, mentor junior engineers, and participate in impactful projects that shape the future of intelligence data management.

When developing data pipelines, I focus on understanding the data source requirements, followed by designing efficient ETL processes. I prioritize scalability and performance by leveraging tools like Apache Airflow, ensuring data quality at each stage and optimizing storage solutions.

I have worked extensively with GIS databases, setting up spatial data infrastructures and ensuring data accuracy for geospatial analysis. My experience includes using tools like PostGIS and managing data visualization projects that support decision-making in crisis situations.

I approach integration challenges by first conducting a thorough analysis of the different data sources and their structures. I then use standardization techniques and develop middleware solutions that enhance compatibility to ensure seamless data flow.

I have experience with AWS and Azure, using their services to develop and deploy scalable data processing applications. I leverage cloud storage for big data projects and utilize services like AWS Lambda for serverless computing to automate analytics workflows.

In one project, I transformed raw data into structured datasets, enabling better analytical insights for the Intelligence Community. This involved cleaning the data and applying machine learning algorithms to drive informed decision-making during security operations.

I have extensively used Python and R for data manipulation, automation, and analysis tasks. These tools have been essential in building data processing workflows and generating actionable reports for stakeholders.

I prioritize data quality by implementing validation checks at various stages of the data pipeline, conducting regular audits, and using automated testing frameworks to identify errors early in the process, ensuring reliability and accuracy.

To optimize performance, I utilize distributed computing frameworks such as Apache Spark for large dataset processing and regularly monitor and tune query performance to reduce time lag in data retrieval.

I engage with online communities, attend workshops, and participate in relevant courses that cover emerging technologies and best practices in data engineering to stay ahead in this rapidly evolving field.

I find motivation in solving complex data challenges and contributing to projects that have a significant impact on national security and crisis management, knowing that my work plays a part in improving decision-making for the Intelligence Community.