Data Engineer II/ Senior Data Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Data Engineer title, hybrid role, and recognizable company increase candidate competition.
Core data engineering skills (ETL, SQL, cloud) are highly transferable across industries.
Explicit years plus mandatory Java, AWS, data pipeline, and Snowflake skills increase filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain data services and pipelines enabling near real-time processing and compliance-driven customer data deletion across multiple data stores.
Manage and onboard products to centralized data lakehouse and regulatory frameworks to ensure standardized, auditable data handling.
Provide operational support including monitoring, troubleshooting, and continuous process improvement for platform data services.
Minimum Requirements
Bachelor’s degree in Computer Science or related field required.
2–6 years professional experience programming in Java with strong OOP design skills.
Experience with RESTful APIs using Dropwizard or Spring Boot, and AWS services including IAM, S3, CloudFormation, Kinesis, Redshift, and CDK.
Strong SQL competency and hands-on experience with relational and non-relational databases; experience building or operating ETL/ELT or CDC pipelines into warehouses/lakes (e.g., Snowflake, Redshift).
Ideal Candidate Profile
Experienced in designing and operating data regulatory frameworks related to data privacy and compliance, preferably with metadata-driven deletion.
Proficient in integrating and troubleshooting complex data pipelines across cloud platforms with a focus on scalability, reliability, and security.
Comfortable using AI tools responsibly for development and operational tasks, with strong validation and privacy awareness.