What are the responsibilities and job description for the AWS Data Engineer position at Eagle Eye Technologies?
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AWS Data Engineer *Onsite at Reston VA*
Start date : ASAP
End date: Nov 2026
End client: Fannie Mae
Location: Reston. Hybrid - 3 days onsite, 2 days remote
Job Requirement
Work with product owners and other development team members to determine new features and user stories needed in large/complex development projects
Create or Update documentation in support of development efforts. Documents may include detailed specifications, implementation guides, architecture diagrams or design documents.
Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate.
Respond to trouble/support calls for applications in production to make quick repair to keep application in production.
Mentor or provide technical guidance to less experienced staff; may use high end development tools to assist or facilitate development process.
Lead projects/initiatives end to end with little supervision
Leverage Fannie Mae DevOps tool stack to build, inspect, deploy, test and promote new or updated features. May serve as technical lead, architect, project lead or principal developer in course of large or complex project.
Expert proficiency in unit testing as well as coding in 1-2 languages (e. g. Python, Java, etc.).
Minimum Required Experiences
5 years of relevant experience
Specialized Knowledge and Skills
3 or more years of experience with Python, SQL, Spark and Amazon EMR
3 years of experience in building and deploying applications in AWS (S3, Lambda, Elastic Beanstalk, Hive, Glue, Redshift, RDS, CloudWatch, SNS, SQS, Kinesis etc.)
Experience processing large amounts of structured and unstructured data
Experience with CI/CD with knowledge of Git, Bitbucket, Jenkins
Tools
Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, EMR
Skilled in strong SQL
Skilled in AWS Database products such as RDS, Redshift, or Aurora
Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Experience / Knowledge in Statistics Based Programming Language R for Data Visualization
AWS Data Engineer *Onsite at Reston VA*
Start date : ASAP
End date: Nov 2026
End client: Fannie Mae
Location: Reston. Hybrid - 3 days onsite, 2 days remote
Job Requirement
Work with product owners and other development team members to determine new features and user stories needed in large/complex development projects
Create or Update documentation in support of development efforts. Documents may include detailed specifications, implementation guides, architecture diagrams or design documents.
Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate.
Respond to trouble/support calls for applications in production to make quick repair to keep application in production.
Mentor or provide technical guidance to less experienced staff; may use high end development tools to assist or facilitate development process.
Lead projects/initiatives end to end with little supervision
Leverage Fannie Mae DevOps tool stack to build, inspect, deploy, test and promote new or updated features. May serve as technical lead, architect, project lead or principal developer in course of large or complex project.
Expert proficiency in unit testing as well as coding in 1-2 languages (e. g. Python, Java, etc.).
Minimum Required Experiences
5 years of relevant experience
Specialized Knowledge and Skills
3 or more years of experience with Python, SQL, Spark and Amazon EMR
3 years of experience in building and deploying applications in AWS (S3, Lambda, Elastic Beanstalk, Hive, Glue, Redshift, RDS, CloudWatch, SNS, SQS, Kinesis etc.)
Experience processing large amounts of structured and unstructured data
Experience with CI/CD with knowledge of Git, Bitbucket, Jenkins
Tools
Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, EMR
Skilled in strong SQL
Skilled in AWS Database products such as RDS, Redshift, or Aurora
Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch
Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
Experience / Knowledge in Statistics Based Programming Language R for Data Visualization
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