11 hours ago
Base Salary
$130k - $150k/yr
Responsibilities
- Design and implement scalable data processing pipelines for ML training and validation.
- Build and maintain feature stores supporting 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.
Requirements
- 7+ years of software engineering experience, including 3+ years in data infrastructure.
- Strong expertise in GCP data and ML infrastructure, including BigQuery, Dataflow, Cloud Storage, Vertex AI Feature Store, Cloud Composer, and Dataproc.
- Deep expertise in data processing frameworks such as Spark, Beam, and Flink.
- Experience with feature stores such as Feast and Tecton and data versioning tools.
- Proficiency in Python and SQL, with experience in data quality, testing frameworks, and pipeline orchestration tools such as Airflow or Dagster.
- Experience with streaming systems such as Kafka, Kinesis, or Pub/Sub is preferred.
- Experience with GCP security, IAM, and data governance best practices is preferred.
- Knowledge of Cloud Logging, Cloud Monitoring, Cloud Build, Cloud Deploy, ML metadata management systems, and dbt or similar data transformation tools is preferred.
Benefits
- Hybrid position requiring 3–4 days per week in a client or Cognizant office in San Francisco, California.
- Medical, dental, vision, and life insurance.
- Paid holidays and paid time off.
- 401(k) plan and contributions.
- Long-term and short-term disability coverage.
- Paid parental leave.
- Employee Stock Purchase Plan.
- Eligible for a discretionary annual incentive program based on performance.
Tech Stack
Apache AirflowApache BeamApache FlinkApache KafkaApache SparkdbtGoogle BigQueryGoogle Cloud PlatformPythonSQL
Categories
Data EngineeringML Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.
