Data Engineer, Senior

Overview

BigBear.ai is seeking an experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

This role will be Hybrid/Remote reporting to the Crystal, City VA 2- 3 days per week and requires an active Secret clearance.

What you will do

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
• Maintain documentation for software applications, workflows, and processes.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

What you need to have

• Secret clearance is required; TS/SCI clearance is preferred.
• Minimum of 5 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
• High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Strong problem-solving skills and ability to solve complex data-related issues.
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
• Understanding of data modeling/visualization, database design principles, and data governance practices.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
• DoD or IC-related experience
• Must be in the DC Metro area and available to work onsite (Crystal City, VA ) 2-3 days per week.

What we'd like you to have

• Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
• Previous experience with Advana is a plus.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on BigBear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

What you will do

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
• Maintain documentation for software applications, workflows, and processes.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

What you need to have

• Secret clearance is required; TS/SCI clearance is preferred.
• Minimum of 5 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
• High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Strong problem-solving skills and ability to solve complex data-related issues.
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
• Understanding of data modeling/visualization, database design principles, and data governance practices.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
• DoD or IC-related experience
• Must be in the DC Metro area and available to work onsite (Crystal City, VA ) 2-3 days per week.