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5 results for Data Engineer in Boston, MA

Sr. Python Data Engineer

Boston, MA
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-04-30T00:00:00Z

Database Technology Manager

Boston, MA
onsite
Permanent / Full Time
115000 - 140000 USD / Yearly
We are looking for a skilled Database Technology Manager to oversee and optimize our database systems and SharePoint platform. This role involves ensuring the reliability, security, and efficiency of data infrastructure while collaborating with teams to support business operations. The ideal candidate will have a strong technical background and a passion for delivering high-quality database solutions. Responsibilities: • Design, implement, and maintain database systems to ensure optimal performance and scalability. • Manage and administer SharePoint platforms, ensuring seamless integration with organizational workflows. • Monitor and troubleshoot database and SharePoint issues to maintain system availability and reliability. • Collaborate with cross-functional teams to identify and address data-related requirements. • Develop and enforce security protocols to protect sensitive information within databases. • Provide technical support for desktop administration and remote desktop access. • Oversee Active Directory configurations and ensure proper user access management. • Evaluate and implement hardware solutions to support database and SharePoint operations. • Stay updated on advancements in database technologies and recommend improvements. • Document processes and procedures for database and SharePoint management.
2026-04-30T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-04-22T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-04-22T00:00:00Z

Business Analyst

Framingham, MA
onsite
Temporary / Contract
70 - 100 USD / Hourly
We are looking for a Business Analyst for a Contract engagement supporting Finance Operations. In this role, you will work closely with finance leaders and cross-functional stakeholders to turn complex data into meaningful business insights that strengthen planning, reporting, and decision-making. This position is ideal for someone who combines analytical thinking with strong business acumen and can use modern reporting tools to improve visibility into financial performance. Responsibilities:• Partner with Global Finance leaders and stakeholders to identify reporting needs and translate business questions into actionable analytics solutions.• Build and enhance interactive dashboards and reporting tools using Microsoft Power BI to improve access to financial and operational data.• Analyze large data sets to uncover trends, variances, and opportunities that support better business decisions.• Develop recurring and ad hoc reports that increase efficiency, accuracy, and consistency across finance reporting processes.• Collaborate with teams across multiple locations to gather requirements, validate outputs, and ensure reporting solutions meet business needs.• Use Microsoft Excel to perform detailed data reviews, reconciliations, and supplemental analysis where needed.• Monitor data quality and resolve reporting issues by investigating inconsistencies and recommending practical improvements.• Support changes to reporting processes or systems by documenting requirements, testing outputs, and helping stakeholders adopt updated tools and workflows.
2026-04-28T00:00:00Z