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Top Data Engineer Jobs in Boston, MA
As a Data Engineer at Arcadia, you will develop ingestion pipelines, support data integration processes, and contribute to data architecture. You'll work with healthcare data to enhance customer solutions, collaborate within a Scrum team, and participate in peer reviews and project planning to achieve successful data integration for client systems.
As a Data Engineer III at Chewy, you will build and optimize data pipelines, integrate and manage data systems, and collaborate closely with analytics and product management teams. You'll lead projects, mentor peers, and implement innovative data solutions while adhering to best practices. This role also involves crafting pipelines for both high-scale streaming and batch data to support various business analytics and operational insights.
The Senior Cloud Data Engineer will build and enhance data solutions using SQL, AWS, and Snowflake. Responsibilities include designing data pipelines, collaborating with teams to create analytics solutions, optimizing performance, implementing data quality checks, and mentoring junior engineers.
The Data Engineer-Manager at PwC will design and implement data architecture strategies, manage data pipelines, and mentor team members. This role integrates advanced technologies to process and analyze data, driving business insights and overseeing project execution and quality.
The Data Engineer is responsible for designing, implementing, and maintaining data infrastructure to support business intelligence and analytics initiatives. Key tasks include developing ETL/ELT pipelines, optimizing data workflows, managing data warehouses, and ensuring data quality. Collaboration with data analysts and scientists is essential to meet data needs and deliver insights.
The MDM Data Engineer will design and build MDM processes using Informatica to manage data across multiple domains. Responsibilities include data ingestion and extraction, establishing data policies, collaborating with teams to align technical specifications with business needs, and ensuring data quality and integrity.
As a Google Cloud Data Engineer at PwC, you'll design and implement robust data infrastructure and systems, develop data pipelines and transformation solutions, and lead a high-performing team. Your role involves collaborating with stakeholders to translate business data needs into technical solutions and ensuring compliance with data security policies.
The Google Cloud Data Engineer will design and build data infrastructure, develop data pipelines, and lead projects. Responsibilities include mentoring team members, collaborating with stakeholders, and implementing data governance practices. The position also involves using cloud services to optimize data processes, enhance analytics, and ensure data security and compliance.
Featured Jobs
As a Senior Data Engineer at Arcadia, you will develop solution architecture and data pipeline connectors to facilitate data flow between client systems and the healthcare analytic platform. You will participate in scrum teams, contribute to code reviews, and enhance data integration tools while supporting existing customer needs and new implementations.
As a lead data engineer at Klaviyo, you will oversee the technical vision for the data automation suite, optimizing and scaling the analytics infrastructure that supports thousands of customers. You will coach engineers, manage projects, and drive solutions to improve systems that handle critical data, while also being a subject matter expert within your team.
As a Lead Data Engineer, you will design and implement high-performance materialized view systems on the View Integrations Team, managing technical documentation and mentoring engineers. Your role involves crafting scalable data pipelines and robust systems for data processing, ensuring reliability and performance while driving projects that impact over 50,000 customers.
The Software Engineer-Master Data will design, develop, and implement software solutions focusing on Master Data Management. Responsibilities include collaborating with teams, enhancing software capabilities, conducting testing and quality assurance, and addressing technical issues. The role requires coding in various programming languages and experience with ERP or SaaS solutions.
As a Data Engineer, you'll design and maintain data infrastructure for a clinical data registry, focusing on optimizing data pipelines and enabling insights to improve patient outcomes. You will work with diverse datasets and collaborate in a team environment to drive advancements in healthcare through innovative technologies.
As a Senior Data Engineer at Capital One, you will collaborate within Agile teams to develop and support full-stack technical solutions, leveraging emerging technologies and data engineering best practices. This role involves building cloud-based data solutions, analyzing complex data sets, and mentoring team members.
As a Lead Data Engineer at Capital One, you will lead the design, development, and implementation of technical solutions, leveraging big data technologies and cloud-based services. Responsibilities include collaborating with Agile teams, mentoring engineers, and building data-driven applications that empower users. You will work extensively with programming languages and various databases to ensure robust functionality.
The Senior Data Engineer will design, develop, and support technical solutions for the Finance Tech team. Responsibilities include collaborating across Agile teams, utilizing programming languages and cloud services, handling big data technologies, and ensuring code quality and performance.
The Lead Data Engineer optimizes data architecture and pipeline processes, driving data initiatives across teams. Responsibilities include designing data transformations, developing business intelligence solutions, ensuring data quality, and mentoring junior engineers. The role requires a deep understanding of technology and business to improve data infrastructures effectively.
The AVP, Data Engineer will expand and optimize data pipeline architectures and improve data flow. Responsibilities include designing and developing data solutions, performing data architecture analysis, and partnering with teams for data strategy initiatives while ensuring compliance with SDLC principles.
The Senior Data Engineer will develop and operationalize scalable data pipelines, manage large datasets, implement data quality checks, and work with various stakeholders to optimize data systems. The role involves supporting both batch and stream processing while ensuring the integrity and reliability of data services.
The Senior Data Engineer at ezCater will develop high-performance data pipelines, working closely with analysts and executive stakeholders. Responsibilities include writing code primarily in dbt with SQL, ensuring data quality, mentoring peers, and optimizing data systems to meet business needs in a fast-paced environment.
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