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6 results for Entry Level Software Engineer in Manchester, NH

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

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

Senior Director of Engineering

Boston, MA
onsite
Permanent / Full Time
190000 - 250000 USD / Yearly
We are looking for a Senior Director of Engineering to lead platform innovation and guide the development of advanced software solutions in Boston, Massachusetts. This leader will shape engineering direction for AI- and automation-driven products, support high-performing managers and teams, and partner closely with product and technical stakeholders to turn strategy into scalable execution. The ideal candidate brings a strong software development foundation, excels in customer-facing environments, and is energized by mentoring teams while influencing architecture, delivery, and long-term platform growth. Responsibilities:• Define and lead the engineering strategy for a next-generation platform focused on AI and automation• Manage and develop engineering leaders, with direct oversight of two engineering managers and broader responsibility for a team of approximately 10 to 15 engineers.• Translate product vision and roadmap priorities into technical plans that support scalable, reliable, and secure platform delivery.• Guide architectural decisions, participate in design discussions, and contribute meaningful feedback during code reviews and technical evaluations.• Oversee the creation and validation of proof-of-concept solutions to assess emerging technologies and accelerate product innovation.• Partner with cross-functional leaders to advance AI adoption across products and bring new intelligent capabilities to market.• Strengthen team performance through effective people leadership, delivery planning, process improvement, and strong project execution practices.• Engage with customers and internal stakeholders to understand business needs, communicate technical direction, and align engineering outcomes with user impact.• Maintain an on-site leadership presence in Boston, Massachusetts one day per week to support collaboration with executive and engineering partners.
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

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-06-03T00:00:00Z

Artificial Intelligence (AI) Engineer

Laconia, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions. What You’ll Do<ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul>What We’re Looking For<ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul>
2026-06-05T00:00:00Z