17 days ago
Remote, United StatesSenior
Base Salary
$111k - $200k/yr
Responsibilities
- Design, build, and maintain scalable batch, real-time streaming, and event-driven data pipelines across on-premises and cloud environments.
- Develop and support the Snowflake data platform, including architecture, performance tuning, data modeling, storage structures, and secure data sharing.
- Build transformation pipelines using dbt and create semantic layers and metadata models for self-service and natural-language data interfaces.
- Establish reference architectures, reusable pipeline templates, governance, and CI/CD practices for decentralized data product teams.
- Evaluate and integrate AWS and Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics.
- Provide direct management and career mentorship to one data engineer and coach decentralized data analysts.
- Support organizational quality programs, perform other assigned duties, and travel as required.
Requirements
- Bachelor’s degree in computer science, information systems, data engineering, or a related field is preferred; an equivalent combination of education, professional certifications, and relevant work experience will be considered.
- Five or more years of dedicated data engineering experience building production-grade data pipelines is required.
- Advanced hands-on experience with Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing is required.
- Experience moving data across hybrid environments using batch, streaming, and event-driven patterns is required.
- Strong Python and SQL skills are required, including Python use in cloud environments and Azure Functions for data workloads.
- Experience with semantic layers, dbt Semantic Layer, Snowflake Cortex, semantic definitions, or downstream AI, large language model, and natural-language search capabilities is preferred.
- Experience with dbt, Azure data tools, and AWS data ecosystems is preferred.
- Knowledge of reference architectures, reusable pipeline patterns, templates, and CI/CD practices is preferred.
- Collaborative coaching, leadership, governance, analytical, problem-solving, organizational, and communication skills are required.
Benefits
- Comprehensive benefits include medical, dental, vision, 401(k) with matching, paid time off, disability and life insurance, employee assistance, flexible spending or health savings accounts, and other voluntary benefits.
- Travel is required as needed.
- The role is covered by Sedgwick’s equal opportunity and drug-free workplace policies.
About Sedgwick
Sedgwick provides third‑party claims administration, risk and benefits services for employers, insurers, and public entities, spanning workers’ compensation, property and liability, disability and absence, and product recall. It sells outsourced claims management and related technology on a fee‑for‑service basis, supported by analytics and AI‑enabled tools, across operations in more than 80 countries. Founded in 1969 and headquartered in Memphis, Tennessee, Sedgwick is privately held under The Carlyle Group.