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6 results for Senior Data Engineer in Boston, MA

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.
2026-06-09T00:00:00Z

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.
2026-06-09T00:00:00Z

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>
2026-06-09T00:00:00Z

Senior Accountant

Marlborough, MA
onsite
Temporary / Contract
45 - 50 USD / Hourly
Job Description:Our client is seeking an experienced Senior Accountant with a strong background in public company accounting to join their growing finance team. This role will be responsible for supporting the monthly and quarterly close process, preparing financial reports, and ensuring compliance with SEC reporting requirements. Experience with 10-K and 10-Q filings is strongly preferred, and NetSuite experience is required. Key Responsibilities:<ul><li>Prepare and review journal entries, account reconciliations, and supporting schedules during the month-end and quarter-end close. </li><li>Assist with the preparation of financial statements and related disclosures for internal and external reporting. </li><li>Support SEC reporting activities, including work related to 10-K and 10-Q filings. </li><li>Ensure compliance with U.S. GAAP and internal accounting policies. </li><li>Partner cross-functionally with FP&A, external auditors, and other stakeholders to support reporting and audit requirements. </li><li>Analyze financial results, research accounting issues, and document conclusions. </li><li>Help drive process improvements and strengthen internal controls. </li><li>Utilize NetSuite to manage accounting workflows, reporting, and data integrity. </li></ul>
2026-06-22T00:00:00Z

Full Stack Java Developer II

Providence, RI
remote
Temporary / Contract
55 - 60 USD / Hourly
We are looking for a Full Stack Java Developer II to join a long-term contract opportunity supporting web-based solutions in Providence, Rhode Island. This role is fully remote for candidates based anywhere in the organization’s approved locations, provided they can align with East Coast working hours. The position centers on building and enhancing a Java-based middleware layer that supports both iOS and Android applications, while also contributing across the broader full-stack environment. Success in this role requires strong hands-on coding ability, comfort in Agile delivery models, and the ability to collaborate effectively across distributed technical teams. Responsibilities: • Build, enhance, and maintain full-stack applications with a primary emphasis on Java services and supporting web technologies. • Develop and support middleware components that enable functionality for mobile platforms, including integrations used by iOS and Android applications. • Design, consume, and troubleshoot RESTful services and third-party APIs using tools such as Postman, SoapUI, and Fiddler. • Contribute code within CI/CD workflows and participate in deployment activities across Azure-based development and production environments. • Partner with engineers, analysts, and cross-functional teams to interpret complex system architecture and deliver scalable technical solutions. • Perform unit, integration, and load testing using frameworks and tools such as Jasmine, Karma, xUnit, and JMeter to improve reliability and performance. • Investigate system behavior in large-scale distributed environments, including performance analysis, capacity planning, and root-cause troubleshooting. • Support serverless and cloud-native development efforts using Azure services such as App Services and Azure Functions.
2026-06-24T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent / Full Time
120000 - 140000 USD / Yearly
M365 Implementation Engineer Location: Remote Department: Professional Services Type: permanent About the Role We are seeking an experienced M365 Implementation Engineer to join our Professional Services team. This position combines hands-on engineering work with frequent client interaction. You will design, deploy, and optimize Microsoft 365 solutions while collaborating directly with customers through daily video calls, workshops, and project updates. This role is ideal for someone who enjoys both the technical side of M365 and the client-facing aspects of consulting. What You’ll Do Lead the deployment, configuration, and migration of Microsoft 365 services in client environments. Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem. Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance. Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes. Implement best practices around identity, governance, compliance, and security within the M365 tenant. Troubleshoot escalated issues and support clients throughout project delivery. Work closely with project managers and stakeholders to translate requirements into effective technical solutions.
2026-06-09T00:00:00Z