Hiring: Senior ML Data Infrastructure Engineer Company: Cognizant Location: San Francisco Bay Area Job Posted Time: 2026-09-16 21:40:55 Employment Type: Hybrid Target Skills & Keywords : Airflow, BigQuery, CI/CD, Cloud Storage, Dagster, Data Pipeline, Feature Store, Flink, GCP, IAM, Kafka, Kinesis, Machine Learning, Pub/Sub, Python, REST, SQL, Spark, Vertex AI, dbt About the job Experience: •7+ years of software engineering experience, including 3+ years in data infrastructure. Required Skills: •In This Role, You Will •Design and implement scalable data processing pipelines for ML training and validation. •Build and maintain feature stores with support for both batch and real-time features. •Develop data quality monitoring, validation, and testing frameworks. •Create systems for dataset versioning, lineage tracking, and reproducibility. •Partner with data scientists to optimize data preparation workflows. •The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. •What You Need To Have To Be Considered Compensation: •$130,000 - $150,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!