Senior Staff Engineer
Fanatics
JavaScriptReactTypeScript
Senior Software Engineer, Analytics
Guidewire Software
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $148,000 - $222,000 per year
Job Level
Senior
Tech Stack
AirflowAmazon RedshiftAWSAzureCloudGoogle Cloud PlatformKafkaPostgresPythonScalaSparkSQLTerraform
About the role
- Build an integrated, scalable, secure, and robust Analytics Platform to enable internal teams and customers to leverage data for insights, decision making and innovation.
- Architect and develop high-quality data assets for both product and AI/ML use cases.
- Design and implement scalable data pipelines to enable self-service analytics, feature engineering and ML driven insights.
- Develop data transformations and establish robust data models, ensuring high data quality and performance.
- Implement DataOps best practices, including CI/CD pipelines for analytics, ensuring data reliability through automated testing and documentation.
- Ensure compliance with evolving data protection regulations, maintaining data security and privacy.
- Mentor team members to enhance their skills and improve team performance.
- Promote trust in data quality and implement tools to meet regulatory and business needs.
- Present deep dives on both technical and product-related aspects to stakeholders.
Requirements
- 8+ years of experience in Data Engineering or Analytics Engineering
- At least 3+ years of hands-on experience designing and implementing large-scale data and ML pipelines
- Prior experience working with cloud native data solutions on AWS, GCP or Azure
- Proficiency in SQL
- Proficiency in at least one data engineering language (Python/Scala)
- Experience in ML feature engineering and collaboration with ML engineers & Data Scientists
- Strong working experience with modern data engineering stack (Spark, dbt, Feast, Airflow, MLflow, Containers, Iceberg etc.)
- Excellent communication skills
- Strong understanding of data management concepts (modeling, warehousing, governance)
- Hands-on experience with relational (PostgreSQL) and columnar (Redshift, etc.) databases
- Experience with source control like Git, Infrastructure as Code (Terraform) and CI/CD for data workflows
- Solid problem-solving and troubleshooting capabilities
- Demonstrated ability to embrace AI and apply it to your role
- Nice to have: Experience in event-driven architectures (Kafka, AWS Event Bridge/SQS, Kinesis)
- Nice to have: Understanding of Data Mesh principles and decentralized data ownership
- Nice to have: Proven ability to influence technical direction in large organizations
Benefits
- All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan.
- In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.
- Disability Accommodations and Guidewire’s Appeals Process
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data EngineeringAnalytics EngineeringSQLPythonScalaML feature engineeringData modelingData warehousingData governanceProblem-solving
Soft skills
Excellent communicationMentoringCollaborationInfluencing technical direction
