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Data Engineer
Snowrelic Inc
- Richmond, Virginia, United States
- Richmond, Virginia, United States
About
You will work closely with data architects, cloud engineers, and application developers to build and manage scalable data pipelines and infrastructure in AWS, enabling real-time analytics and business intelligence capabilities.
Key Responsibilities
Design, build, and maintain scalable data pipelines using Python or shell/bash scripting. Implement and manage AWS services including Lambda, S3, and Fargate. Automate workflows and deployment processes using CI/CD pipelines with Jenkins andDocker. Monitor systems and application health using observability tools such as New Relic or Splunk. Collaborate with cross-functional teams to ensure optimal data flow and integrity. Apply best practices in cloud data engineering, including security and compliance standards.
Required Skills
Scripting: Proficiency in Python, Bash, or Shell scripting. Cloud Technologies: Strong experience with AWS (Lambda, S3, Fargate). DevOps Tools: Hands-on experience with Jenkins, Docker, and CI/CD pipelines. Monitoring Tools: Familiarity with New Relic or Splunk for performance monitoring and logging.
Preferred Qualifications
AWS Certification (e.g., AWS Certified Data Analytics, Solutions Architect, or DevOps Engineer). Experience in Agile development environments. Strong problem-solving and analytical skills. Excellent communication and collaboration skills.
Note: This position is open to H1B transfers only . Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Snowrelic Inc by 2x Sign in to set job alerts for “Data Engineer” roles. Software/interface Developer - Early Career Richmond, VA $141,000.00-$235,000.00 5 days ago Software Engineer I (Merchant Data Platform) Software Quality Assurance Engineer Level I We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Languages
- English
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