We are looking for a Senior DataOps Engineer with a strong ownership mindset to work with one of our foreign clients. The role is ideal for someone who thrives in complex data environments and enjoys building, optimizing, and scaling data infrastructure on AWS while driving best practices across DataOps and DevOps.
Requirements
- 5+ years of experience in DevOps or DataOps roles with a strong focus on AWS.
- Hands-on experience with AWS services such as EMR (Spark), Redshift, RDS, Glue, Lambda, Kinesis, Step Functions, EventBridge, SNS/SQS, KMS, and CloudWatch.
- Strong proficiency in Python and SQL.
- Experience working with relational, NoSQL, and columnar databases.
- Experience implementing Infrastructure as Code using Terraform or CloudFormation.
- Experience designing and maintaining CI/CD pipelines.
- Familiarity with data quality frameworks, observability tools, and data governance practices.
- Knowledge of handling sensitive data (PII) and compliance standards such as HIPAA.
- Bachelor’s degree in Computer Science, Data Science, or equivalent experience.
- Proven ability to work autonomously and take ownership of infrastructure and data workflows in a production environment
Benefits
- Salary in USD
- Flexible schedule (within US Time zones)
- 100% Remote
- Work with modern AWS stack (EMR, Kinesis, Glue, etc.)
- High-impact role with ownership over key technical decisions
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