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12 results for Data Engineer in Boston, MA

Data Architect

Needham, MA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Data Architect to design and enhance modern data solutions for a banking environment in Needham, Massachusetts. This role focuses on building scalable cloud-based data architecture, improving data movement and transformation processes, and enabling reliable access to business-critical information. The ideal candidate brings strong expertise in Azure, Snowflake, Python, and Spark, along with a practical approach to data modeling, integration, and performance optimization. Responsibilities: • Design and maintain enterprise data architecture that supports secure, scalable, and efficient data operations across banking platforms. • Build and optimize ETL pipelines to ingest, transform, and deliver data from multiple sources into cloud-based analytical environments. • Develop robust data solutions using Azure services, Snowflake, Python, and Apache Spark to meet business and reporting needs. • Create data models and architectural standards that improve consistency, accessibility, and long-term maintainability of data assets. • Partner with engineering, analytics, and business teams to translate data requirements into reliable technical solutions. • Monitor data platform performance and implement improvements that strengthen processing speed, quality, and system reliability. • Establish best practices for data governance, documentation, and architecture design to support regulatory and operational expectations. • Troubleshoot complex data issues and provide technical guidance on integration, transformation, and storage strategies.
2026-06-03T00:00:00Z

Data Analyst

Hampton, NH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a detail-focused Data Analyst to join a utilities and infrastructure organization in Hampton, New Hampshire. This Long-term Contract opportunity is ideal for someone who can support reporting, data quality, and integration-related activities while working closely with project and business teams. The position will contribute during system implementation and continue to play an important role in ongoing reporting and data operations after launch. Responsibilities: • Partner with implementation stakeholders to develop reporting assets and organize supporting data documentation. • Carry out system and user testing activities, record issues clearly, and help monitor them through resolution. • Compare source and target data to identify discrepancies and support accurate reconciliation efforts. • Assist with large-volume data validation and conversion tasks while following established quality standards. • Maintain and enhance recurring reports that support day-to-day business decision-making. • Keep report inventories and data documentation current to improve usability and governance. • Perform routine data checks, bulk data updates, and file-based import activities with a high level of accuracy. • Provide support for integration workflows and data movement processes, expanding ownership as experience grows.
2026-06-10T00:00:00Z

Senior Data Engineer

Boston, MA
remote
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment. Responsibilities: • Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use. • Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture. • Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights. • Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams. • Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows. • Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability. • Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
2026-06-03T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

Data Administrator

Providence, RI
onsite
Temporary / Contract
21 - 23 USD / Hourly
We are looking for a detail-oriented Data Administrator to support daily real estate administrative operations in Warwick, Rhode Island. This Long-term Contract position focuses on maintaining accurate transaction records, coordinating documentation from sales agreement through closing, and providing dependable assistance to a growing organization. The ideal candidate is comfortable working with data, highly organized, and confident using computer systems to keep information current and accessible. Responsibilities: • Enter, update, and organize transaction data related to real estate files with a high level of accuracy. • Maintain documentation throughout the lifecycle of each sale, ensuring records are complete from agreement stage through closing. • Provide administrative support to office staff by assisting with file organization, information tracking, and routine coordination needs. • Monitor and manage real estate records so documents can be easily retrieved and reviewed when needed. • Order and replenish office supplies through approved vendors to help maintain daily business operations. • Review entered information for completeness and correct discrepancies to support reliable recordkeeping. • Assist with general clerical and data-focused tasks that help the office run efficiently as business needs grow.
2026-06-12T00:00:00Z

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 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

Business Intelligence and Data Analyst

Boston, MA
remote
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data. Responsibilities: • Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results. • Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making. • Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs. • Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use. • Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions. • Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement. • Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided. • Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality. • Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
2026-06-03T00:00:00Z

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

Systems Engineer

Littleton, MA
onsite
Permanent / Full Time
65000 - 95000 USD / Yearly
We are looking for a motivated entry-level Systems Engineer to join our team in Littleton, Massachusetts. In this role, you will support a variety of hardware and software initiatives, troubleshoot issues, and contribute to system improvements. If you have a passion for technology, enjoy problem-solving, and thrive in a dynamic environment, this position is an excellent opportunity to grow your career. Responsibilities: • Diagnose and resolve hardware and software issues across multiple systems. • Support the integration and maintenance of Active Directory, Microsoft Windows Server, and Azure Active Directory. • Assist in managing and optimizing Citrix technologies to enhance system performance. • Collaborate with team members to prioritize and triage technical problems effectively. • Participate in the development and implementation of computer-aided software engineering tools. • Utilize Python to automate tasks and improve system efficiency. • Provide technical support for PC software and laptop hardware. • Document processes and procedures to ensure consistent system operations. • Stay up-to-date with emerging technologies and recommend improvements to existing systems.
2026-05-14T00:00:00Z

Business Analyst

Boston, MA
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced Business Analyst to support a mortgage industry team in Boston, Massachusetts through a Long-term Contract engagement. This role will focus on translating business needs into clear requirements for a web-based application used to capture and report vendor and expense information tied to rental property management activities. The position partners closely with technology and business stakeholders in an Agile delivery environment while also contributing to smaller enhancements, defect review, and ongoing backlog priorities. Responsibilities: • Elicit, analyze, and document business requirements for a new web application supporting rental property management reporting and compliance needs. • Partner with business users, developers, QA, and solution architecture resources to turn operational needs into detailed functional specifications and user stories. • Facilitate requirement reviews, backlog refinement sessions, sprint planning activities, and recurring Scrum ceremonies across cross-functional teams. • Examine current workflows, identify gaps in system capabilities, and recommend improvements that better align the application with business objectives. • Support the creation and maintenance of project documentation, including process flows, requirement artifacts, user-focused materials, and traceability records. • Contribute to quality efforts by assisting with test planning, validating outcomes, and supporting user acceptance activities for new features and enhancements. • Use tools such as Azure DevOps to manage requirements, track work items, and maintain visibility into sprint and backlog progress. • Work on supplemental assignments such as production issues, minor enhancements, and emerging project needs as priorities evolve.
2026-05-28T00:00:00Z

Business Analyst

Hampton, NH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Business Analyst to support Oracle-focused initiatives within a utilities and infrastructure environment in Hampton, New Hampshire. This Long-term Contract position will work closely with business and technical teams to define needs, improve workflows, and help deliver effective solutions across finance, operations, and IT. The ideal candidate brings strong analytical skills, hands-on Oracle experience, and the ability to turn complex business objectives into clear, actionable documentation. Responsibilities: • Partner with business leaders and technical teams to identify, clarify, and document functional and operational needs for Oracle-based applications. • Convert business objectives into detailed requirements, user stories, process flows, and supporting documentation for delivery teams. • Evaluate current workflows to uncover efficiency opportunities and recommend practical system or process enhancements. • Support Oracle-related implementations, platform updates, integrations, and other enterprise application initiatives. • Lead requirement workshops, stakeholder discussions, and validation sessions to confirm scope, priorities, and expected outcomes. • Work closely with developers, database specialists, and quality teams to ensure delivered solutions meet business expectations. • Assist with planning, coordination, and issue resolution for Oracle environment changes, including upgrade or migration-related activities. • Create and maintain process maps, workflow documentation, and reporting artifacts to support decision-making and knowledge sharing.
2026-06-10T00:00:00Z