Data Engineer Sr

MAPFRE•Webster, MA

57d•$140,000 - $171,000

About The Position

The Data Engineer Sr. is responsible for building and maintaining the infrastructure required for optimal data extraction, transformation, and loading (ETL) from a wide variety of data sources. This role involves developing and optimizing data pipelines, ensuring data flow and availability for data analytics and business intelligence activities. The Data Engineer collaborates with data scientists and analysts to understand data needs and deliver efficient solutions that support complex analytics and reporting. Key responsibilities include designing and implementing scalable data architectures, managing data integration, and ensuring data quality and reliability. Proficiency in programming languages, database systems, big data technologies, and cloud platforms is essential for this role, as is a strong understanding of data modeling, ETL processes, and data warehousing.

Requirements

Bachelor's Degree in Computer Science or 8 -10 years of professional experience in relevant programming languages.
8 - 10 years of professional experience in relevant programming languages.

Responsibilities

Lead the design, development, implementation, and maintenance of highly scalable and secure data pipelines for complex data processing needs.
Provide strategic leadership and direction to a team of data engineers, fostering a collaborative and high-performing environment.
Champion technical innovation, identifying and implementing cutting-edge technologies and solutions to drive data strategy and improve overall data architecture.
Develop and maintain data architecture best practices, ensuring data quality, security, and scalability at an enterprise level.
Collaborate with Data Product Managers, analysts, business analysts, product managers, senior leadership, engineering managers, TPMs, and architects to understand business needs, translate them into technical solutions, and influence product planning and prioritization.
Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
Develop and maintain technical documentation and code standards.
Lead the evaluation, selection, and implementation of new data technologies and tools.
Continuously monitor system performance, identify bottlenecks, and implement improvements to optimize data pipelines across the enterprise.
Manage and reduce technical debt through strategic recommendations and code refactoring initiatives.
Drive the adoption of new technologies across the organization, ensuring successful integration and maximizing business value.
Adheres to company policies and procedures as outlined in the Human Resources Policy Guide and follows departmental and functional area standards, rules, guidelines, processes, and policies as identified by management.