Über
Architect and contribute to the design of distributed data processing systems, focusing on modularity, reusability, and fault tolerance. Collaborate on design reviews and provide input into architectural decisions to help evolve the data platform and support new analytics and machine learning (ML) use cases. Develop framework-level components for data quality, observability, and recovery, enabling self-service capabilities across teams. Standardize and implement patterns for incremental data processing, ensuring consistency, idempotency, and scalability. Design and implement schema evolution strategies, metadata-driven processing, and lineage tracking to support auditability and regulatory requirements. Optimize data storage formats, partitioning strategies, and compute resource utilization for cost-effective performance at scale. Contribute to the technical roadmap by evaluating new technologies and proposing architectural improvements aligned with long-term platform goals. Collaborate with product, compliance, and platform teams to design reusable data interfaces and contract-driven ingestion frameworks. Salary: $147,000 - $185,000 per year.
MINIMUM REQUIREMENTS: Bachelor's degree or U.S. equivalent in Computer Science, Statistics, Informatics, Information Systems, Mechanical Engineering, Computer Engineering, or a related field, plus 5 years of professional experience as a Data Engineer, Data Platform Engineer, Machine Learning Engineer, or any occupation/position/job title working in in hybrid deployments.
Must also have the following special skills: 4 years of professional experience designing, building and optimizing large scale data pipelines; 4 years of professional experience utilizing big data tools including Spark, Kafka, PySpark, and Databricks; 4 years of professional experience utilizing pipeline and workflow management tools including Airflow, and working with stream-processing systems including Spark-streaming; 4 years of professional experience working with object-oriented and object function scripting languages including Python and continuous integration and continuous delivery (CI/CD) including Jenkins; 4 years of professional experience building monitoring dashboards including; Grafana; 4 years of professional experience performing change data capture (CDC) streaming for NoSQL databases; 4 years of professional experience performing root cause analysis and processes to answer business questions and identify opportunities for improvement; and 4 years of professional experience with message queuing, stream processing, and high scalable data stores.
CONTACT: Submit resume online at: https://www.digicert.com/careers; or via email to kayley.king@digicert.com. Must specify job code (ABDA).PDN-a0d44937-e324-451f-8bef-d7909818c3fa
Sprachkenntnisse
- English
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