AWS Cloud Data Engineer - Senior

Overview:

BigBear.ai is seeking a highly skilled and experienced Senior AWS Cloud Data Engineer to join our dynamic team. The ideal candidate will be responsible for building and optimizing our data ingestion processes using a variety of AWS services. A strong background in AWS environments, particularly in constructing data lakes, is highly desirable.

A remote schedule will initially be implemented through the end of April and will increase to hybrid, with 3 days onsite in Chantilly, VA as the project matures.

What you will do:

Design and implement data ingestion pipelines using AWS services such as DMS, DataSync, Glue, Athena, Lambda, S3, RDS, and Step Functions

Develop and optimize data processing and storage strategies, ensuring efficient data flow within the AWS ecosystem

Architect and build AWS-based data lakes, ensuring scalability, reliability, and security

Collaborate with cross-functional teams to understand data needs and implement solutions that meet business objectives

Ensure data solutions are compliant with security protocols and best practices

Monitor, troubleshoot, and continuously improve data systems and processes

Stay abreast of the latest AWS offerings and technologies, identifying opportunities for system enhancements.

What you need to have:

Bachelor's Degree in Computer Science, Engineering, Information Technology and 5+ years of experience, or;Associates Degree and 7+ years of experience, or;

Master's Degree and 3+ years of experience, or;

PhD and some professional experience

(in lieu of Bachelor’s degree, 9+ years of relevant experience)

Clearance: able to obtain and maintain active Secret level clearance

CompTIA Security+ certification

Minimum of 5 years of experience in data engineering, with a strong focus on cloud-based solutions

Demonstrated experience with AWS data services (DMS, DataSync, Glue, Athena, Lambda, S3, RDS, Step Functions)

Proven expertise in designing and building data lakes in an AWS environment

Strong knowledge of database design, data modeling, and data warehousing principles

Proficiency in SQL and experience with programming/scripting languages (e.g., Python, Java)

Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

What we'd like you to have:

AWS Certified Data Analytics - Specialty or AWS Certified Big Data - Specialty certification

Experience in working with large, complex datasets and real-time data ingestion

Familiarity with additional AWS services and Infrastructure as Code (IaC) tools, such as CloudFormation and GitLab

Strong communication and collaboration skills, with an ability to convey complex technical concepts.

About BigBear.ai:

BigBear.ai delivers AI-powered analytics and cyber engineering solutions to support mission-critical operations and decision-making in complex, real-world environments. BigBear.ai’s customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai’s solutions to see and shape their world through reliable, predictive insights and goal-oriented advice. Headquartered in Columbia, Maryland, BigBear.ai is a global, public company traded on the NYSE under the symbol BBAI. For more information, please visit: and follow BigBear.ai on Twitter: .

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