Cloud Engineer w​/Ab Initio, Python SQL and Cloud; Richmond or McLean, VA}

Cloud Data Engineer (Ab Initio / Python / SQL / AWS)

Location:

Richmond, VA or McLean, VA (On-Site)
Duration: 9-Month Contract (with potential extension)

We are seeking a highly skilled Cloud Data Engineer to join a fast-paced Agile team supporting enterprise-scale data and cloud initiatives. This role requires strong expertise in Ab Initio (ETL), Python, SQL, and AWS Cloud to design, develop, and support modern data solutions that drive impactful business outcomes.

You will work alongside experienced engineers in machine learning, distributed systems, and full-stack development to deliver robust, scalable cloud-based solutions.

• Collaborate with Agile teams to design, develop, test, implement, and support technical data solutions
• Develop and maintain ETL workflows using Ab Initio
• Build and optimize data pipelines using Python and SQL
• Design and implement scalable data solutions within AWS Cloud environments
• Work with distributed data technologies and cloud-based data warehousing platforms (Redshift, Snowflake)
• Contribute to architecture discussions and solution design for microservices and big data systems
• Perform unit testing and participate in peer code reviews to ensure high-quality, high-performance solutions
• Partner with product managers and stakeholders to deliver secure and scalable cloud-based data applications
• Stay current with emerging technologies and contribute to engineering best practices

• Strong hands-on experience with Ab Initio (ETL development)
• Proficiency in Python for data processing and automation
• Advanced SQL skills (query optimization, performance tuning, complex joins)
• Experience designing and deploying solutions in AWS Cloud
• Experience working in Agile development environments
• Strong problem-solving skills and ability to work in a collaborative team setting

• Bachelor’s Degree
• At least 4 years of experience in application development (internships do not apply)
• At least 2 years of experience with big data technologies
• At least 1 year of experience with cloud computing (AWS preferred; Azure or Google Cloud acceptable)