Top Analytics Engineer Jobs in Boston
As an Analytics Engineer at **first** hand, you will build data modeling solutions, develop data models and schemas for analysis, collaborate with stakeholders, help build data-driven processes, and enable teams to self-serve data analytics needs. You should have experience with clinical medical records, data modeling, and SQL. This is an opportunity to make a massive impact on foundational technology and shape the culture of a data-driven organization.
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Design, build, and maintain scalable data models using SQL and dbt for data marts. Collaborate with stakeholders to gather business requirements, create explores in Looker, drive best practices, mentor junior team members, and lead architecture design within Snowflake. Engage decision makers and contribute to platform ownership tasks.
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An Analytics Engineer responsible for providing clean data sets to end users, modeling data to empower teams to answer their own questions. Responsibilities include enabling team members, curating metrics, creating datasets and dashboards, establishing analytics standards, and identifying and transforming suboptimal data. Required expertise in SQL, Python, Tableau, data warehousing architecture, and data modeling standards.
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Join Robin, a leading hybrid workplace experience platform, as a Staff Data Engineer. Contribute to workplace analytics by building data systems and models to empower customers. Work on customer-facing data pipelines and models to help improve workplaces. Requires 5+ years of software experience at a SaaS company, 2+ years building data platforms, and proficiency in Python, DBT, Airflow, and Snowflake.
Building a global customer data & analytics organization. Centralizing, transforming, and wrangling data to enable insights. Balancing speed and scale. Setting strategy and hands-on execution. Partnering with teams and IT. Creating user-friendly semantic layer. Setting up alerting and anomaly detection. Contributing to team culture.
The Senior Analytics Engineer - Data Ops at Pluralsight will be responsible for building and maintaining production data pipelines, developing tooling for data practitioners, improving data environment observability and maintainability, and automating processes. Requires 5+ years of multidisciplinary data operations experience and expertise with various data warehousing technologies and orchestration tools.
Build very large, scalable platforms using cutting-edge data technologies. Conceptualize and own data architecture for large-scale projects, improve data quality monitoring and validation processes, collaborate with cross-functional teams, and solve challenging data integration problems.
Design and lead implementation of new data systems, create data pipelines, collaborate with engineering teams, work on ML platforms, and optimize data infrastructure. Requires 7+ years of experience in data engineering, real-time data products, and production ML systems.
Featured Jobs
Lead data engineering teams focused on data solutions for USRM Claims business. Drive business value through data-driven decision making and collaboration with stakeholders. Manage Agile data engineering squads and ensure delivery of scalable, reliable, and secure solutions. Mentor and coach team members to foster a culture of empowerment and excellence in engineering practices.
Data Engineer at Dropbox responsible for building next-generation Financial data pipelines, managing Gold Datasets, and providing data models for business use. Requires expertise in SQL, Databricks, Snowflake, EMR, and Airflow.
Lead Data Engineer role in the Finance Tech department at Capital One. Responsible for collaborating with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies. Must have at least 6 years of application development experience and 2 years of experience in big data technologies.
Develop re-usable, consistent, best in class dimensional data models, write SQL queries and Python code, identify data integrity issues, enforce data policies, build and scale data models, implement and maintain databases, develop documentation on databases and tables.
Design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains. Work on batch pipelines, data modeling, and Master data solutions. Collaborate with project teams to implement data collection and processing pipelines.
As a Senior Lead Data Engineer at Capital One, you will collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. You will lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. You will utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases. You will also share your passion for staying on top of tech trends, experimenting with and learning new technologies, and mentoring other members of the engineering community.
Overjet is hiring a Senior Data Engineer to design, develop, and implement data solutions that help ensure we have world class data capabilities.
Design, build, and maintain complex ELT jobs that deliver business value. Translate high-level business requirements into technical specs. Ingest data from disparate sources into the data lake and data warehouse. Cleanse and enrich data and apply adequate data quality controls. Provide insight and direction to guide the future development of MassMutual's data platform. Develop re-usable tools to help streamline the delivery of new projects.
Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. Must have 5+ years of core data engineering experience with specific technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
Act as a Data Engineer III at Chewy's Content Platform team in Boston, Massachusetts. Develop, train, deploy, and refine data pipelines for ML/DL models at scale. Implement data-driven solutions in a production environment. Collaborate with business and technology teams to implement desired features.
Senior Data Scientist responsible for expanding the data science team's impact on internal operations and developer-facing features, saving time across multiple teams, and contributing to key performance metrics like churn and revenue retention at Klaviyo.
As the Data Science Technical Lead for Sleep at WHOOP, you will develop and maintain algorithms for sleep tracking and analysis, collaborate with MLOps engineers, conduct research on sleep physiology, and mentor other data scientists. Bachelor's degree and 5+ years of experience required.
Seeking a seasoned Enterprise Data Architect to lead data strategy, advanced analytics, cost management, architecture optimization, security, compliance, and innovation. Mentor junior team members and drive performance through innovative data solutions. Must have 10 years of experience in data management and strong skills in relational data modeling, high-volume data pipelines, data warehousing, and data security.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, building pipelines, and developing dashboards to enable impactful business decisions. You will work with a highly data-driven team to analyze large datasets and support various business functions.
The Principal Data Engineer will play a critical role within the data team by providing technical leadership, implementation expertise, and guiding other data engineers. This role involves collaborating with various teams to build an analytics platform centered around Snowflake and Tableau.
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
The Staff Data Engineer at Square Banking will be responsible for designing large-scale data processing systems and pipelines, building core datasets, promoting software engineering practices, and collaborating with cross-functional teams to accelerate decision-making processes using real-time Big Data technologies.
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