Staff Engineer - Data Engineering

14 days ago

San Francisco, CA, USA or Scottsdale, AZ, USAStaff+

Base Salary

$124k - $223k/yr

Responsibilities

Build forward-looking data strategies and technical architectures for broad or complex requirements.
Design, prototype, implement, test, and deploy scalable data platforms, distributed systems, SaaS, cloud solutions, and microservices.
Develop data warehouses, big-data platforms, structured and unstructured data solutions, and real-time and batch processing systems.
Plan and deliver technical backlogs, features, systems, and production implementations while owning their long-term health.
Lead a broad functional area, guide team planning and execution, and represent engineering in cross-functional sessions.
Develop and operationalize AI/ML models, including feature engineering, data pipelines, model deployment, and model monitoring.
Collaborate with product managers, designers, engineering teams, Support, and Operations to build features and resolve production issues.
Improve engineering and data standards, tooling, processes, quality, performance, scalability, risk management, and data protection.

Bachelor’s degree in computer science or a related technical field, or equivalent relevant experience.
Typically eight or more years of relevant experience.
Seven or more years developing complex data platforms, distributed systems, SaaS, cloud solutions, or microservices.
Six or more years developing data warehouses, big-data platforms, real-time and batch processing, and data standards.
Four or more years developing business intelligence solutions.
Two or more years developing or operationalizing AI/ML models and model lifecycle activities.
Experience delivering business-critical systems, designing scalable systems, and implementing data warehouses using SQL Server or equivalent.
Experience with HDFS, Elasticsearch, ETL development, reusable frameworks, Python, Spark, PySpark, R, or DataRobot.
Experience with event-driven architectures, messaging frameworks, cloud infrastructure, testing, secure coding, SDLC practices, and DevOps practices.
Preferred qualifications include an MS or PhD, TensorFlow, SageMaker, scikit-learn, PyCharm, Cloudera, Amazon S3, Oracle, Aerospike, Scality S3, AppDynamics, Kubernetes, FinTech, ACH/EFT, RTP, and FedNow experience.
Must complete a background and drug screen and meet the stated physical and communication requirements.

Hybrid work model is available for positions in Scottsdale, San Francisco, Chicago, or New York.
Healthcare coverage includes medical, dental, vision, HSA contributions, and flexible spending accounts.
401(k) plan includes a 100% company Safe Harbor Match on the first 6% deferred, immediately upon eligibility.
Paid time off includes flexible time off for exempt employees, PTO for non-exempt employees, 11 paid company holidays, and a paid volunteer day.
Includes 12 weeks of paid parental leave and Maven family-planning support.
Eligible candidates may receive a discretionary incentive plan and other benefits.

1,001-5,000 employees