Hiring Cloud Data Engineer
Abhinav Mohanty
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Role: Cloud Data Engineer
Location: Onsite, Richmond, VA or
McLean, VA (On-Site)
Client: Capital One
Visa Restriction: Except H1B, OPT, CPT
Job Description:
2 professional references required (not colleague but someone senior like
Lead/Manager)
Overview
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.
Key Responsibilities
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
Required Skills
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
Basic Qualifications
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)