Massachusetts

Developer Jobs in Massachusetts

74 jobs found

Include remote jobs

Today

Sr Full stack Software Engineer

Vista Higher Learning Massachusetts

Massachusetts

Today

$140k - $150k/yr Full time Backend Developer Senior AWS

Apply Now

Job Description

Vista Higher Learning seeks a Senior Full Stack Software Engineer to drive end-to-end development of digital language education products, collaborating across teams to advance innovation in a focused development environment.

Responsibilities

Participate in all aspects of the Software Development Lifecycle (SDLC)
Perform tests to optimize performance
Write clean code to develop functioning web applications
Work effectively and collaborate with different team members to deliver on-time and efficient projects

Requirements

Bachelor’s Degree
7+ years of Senior level Software Engineering experience with Ruby, Ruby on Rails or Python + JavaScript
Demonstrated software architectural design experience, including data persistence and API design
Strong understanding of networking and web browser protocols
Advanced working knowledge of Unix-like systems, and comfort working at the terminal command line
Advanced SQL and DB schema design knowledge
Advanced working knowledge of Git and GitHub
Experience collaborating with other departments and teams
Strong communication, listening and interpersonal skills to actively respond to needs

Technologies

Ruby
Ruby on Rails
JavaScript
Vue
MySQL
PostgreSQL
Redis
Elasticsearch
AWS
Python
SQL
Sagemaker
AWS Polly
Azure Speech Service
Git
GitHub
LLMs
AI tooling for developers

What this role is about

As a Senior Software Engineer, you will join a focused and professional development team that consistently drives innovation shaping Vista Higher Learning's digital language education products.

Ideal if you have or are (Preferred skills & experience)

Experience with Sagemaker, AWS Polly, Azure Speech Service
Experience with SQL, Postgres, Redis, Elasticsearch
Experience building and deploying high-capacity applications in cloud environments, especially AWS
Strong understanding of architectural patterns for scalability and performance
Experience working with LLMs and AI tooling for developers
Experience with Ruby highly preferred
Experience in ed-tech, education, language-learning or a related industry
Familiarity with Web Content Accessibility Guidelines (WCAG) and 2.1 AA compliance best practices

Location

Massachusetts, hybrid. Boston area with hybrid or remote options in the Eastern US Time Zone. The position requires current residence within the United States and within the Eastern Time Zone. Ideal candidates will be located near our Boston office and be willing to work a Tuesday and Thursday hybrid schedule. Relocation assistance is not available.

Salary

Base salary range of USD 140,000 to 150,000 per year. The role is salaried and eligible for an annual incentive based on individual and organizational performance.

View full job page →

Today

Sr Full stack Software Engineer

Vista Higher Learning Boston, MA

Boston, MA

Today

$140k - $150k/yr Full time Backend Developer Senior AWS

Apply Now

Job Description

Vista Higher Learning offers a hybrid Boston-based Senior Full Stack Software Engineer role with a salary range of USD 140,000 - 150,000 per year. This position supports innovative digital language education products and enables you to contribute across backend and frontend development within a collaborative team.

As a Senior Full Stack Engineer, you will bring backend and full‑stack expertise to a development team focused on delivering cutting edge digital language education tools.

Responsibilities

Participate in all aspects of the Software Development Lifecycle (SDLC)
Conduct tests to optimize performance and reliability
Write clean, maintainable code to develop functional web applications
Collaborate effectively with teammates from multiple disciplines to deliver on time and efficiently

Requirements

Bachelor’s Degree
7+ years of senior level software engineering experience with Ruby, Ruby on Rails or Python + JavaScript
Proven software architectural design experience, including data persistence and API design
Strong understanding of networking and web browser protocols
Advanced working knowledge of Unix-like systems and comfort with terminal command line
Advanced SQL and database schema design knowledge
Advanced working knowledge of Git and GitHub
Experience collaborating with other departments and teams
Strong communication, listening, and interpersonal skills

Technologies

Ruby
Ruby on Rails
JavaScript
Vue
Python
MySQL
Postgres
Redis
ElasticSearch
AWS
Sagemaker
AWS Poly
Azure Speech Service
SQL

View full job page →

2d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

2d ago

Full time Cloud Cloud Platform Data

Apply Now

Job Description

The Lead Data Engineer will drive data integration, dbt driven modeling in Snowflake, and end-to-end data pipelines for investment data. This on-site role is based in Boston, with presence required three days per week to support the Investment Data Management Office.

Responsibilities

Create and maintain dbt based data models in Snowflake, encoding business logic while aligning with existing architecture and data standards.
Collaborate on and steer dbt project work, emphasizing code quality, documentation, and modular, scalable design patterns.
Architect, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and contribute to development efforts, delivering solutions that meet business requirements aligned with program objectives.
Advance data quality, resiliency, governance, efficiency, and monitoring through continuous improvement.
Diagnose and resolve complex system interactions to identify root causes of problems.
Collaborate with the platform lead to design, develop, implement, and deploy new software components for the investment data platform.
Coordinate with the data architect to evaluate and finalize the unified data model.
Work with the integration architect to upgrade and integrate data ingestion and data delivery tools within the unified data platform.
Upgrade and integrate transformation tools, data validation tools, and orchestration tools to enable data engineering, analytical engineering, and data maintenance capabilities.
Provide on-call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years of experience designing, developing, and building data oriented complex applications.
Minimum of 2-4 years of hands-on progression from SQL to Advanced SQL.
Experience in developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, and data analytics architecture with a solid understanding of design principles; knowledge of Snowflake and other cloud native databases is highly preferred.
Development experience on cloud-based PAAS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and Cloud technologies, with exposure to multiple technologies, platforms, and processing environments.
Knowledge of architectures and patterns such as unified data management (UDM), data mesh, event-driven architecture, real-time data flows, non-relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desirable.
Good interpersonal and communication skills with the ability to lead cross-team collaboration across internal and external stakeholders.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What we are looking for

Bachelor’s degree in Computer Science or related disciplines.
5-6+ years designing, developing, and building data oriented complex applications.
2-4+ years of hands-on experience from SQL to Advanced SQL.
Experience in developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, and data analytics architecture; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud-based PAAS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse technologies and environments.
Knowledge of architectures and patterns including UDM, data mesh, event-driven, real-time data flows, non-relational repositories, and data virtualization.
Experience delivering solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
Strong interpersonal and communication skills enabling cross-team collaboration with internal and external stakeholders.

Preferred Qualifications

Experience in the asset management industry and investment data domain, with exposure to multi-asset platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets / investment operations are highly valued.
Interest in emerging AI technologies and how AI driven tools can enhance engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with using AI assisted development, automation, or data engineering best practices to boost productivity and continuous improvement efforts.

View full job page →

3d ago

Senior Software Engineer Backend Systems

Health Data Analytics Institute Dedham, MA

Dedham, MA

3d ago

$155k - $185k/yr Full time Backend Developer Senior Amazon Web Services

Apply Now

Job Description

Health Data Analytics Institute is seeking a Senior Software Engineer to join the Data Retrieval Platform team. This role centers on designing and building distributed backend services and APIs that transform, store, and serve data for the HealthVision platform, with the goal of delivering fast, reliable, and scalable systems for clinical and operational use.

Responsibilities

Design, build, and maintain a distributed set of AWS Lambda functions and REST API services that transform, store, and serve data powering the HealthVision platform.
Own the development and maintenance of FastAPI services and API Gateway integrations, ensuring reliability, performance, and scalability.
Collaborate across relational and non-relational databases to model, query, and optimize data storage and retrieval patterns.
Work with ML Operations and Data Engineering teams to ensure data is structured, surfaced, and served in ways that support AI model inference and clinical application needs.
Contribute to the full software development lifecycle — from design and implementation through testing, deployment, monitoring, and iteration.
Champion engineering best practices including code quality, documentation, and agile/scrum workflows.
Contribute to a culture of continuous learning, growth, and innovation within the Data Retrieval Platform team and across the broader engineering organization.

Requirements

5+ years of experience as a software engineer with a focus on backend systems.
Strong proficiency in Python for production service development.
Hands-on experience building and operating distributed systems on AWS, particularly Lambda and API Gateway.
Solid experience designing and building RESTful APIs, including FastAPI or similar frameworks.
Proficiency working with relational databases (PostgreSQL, MySQL) and non-relational databases (DynamoDB, MongoDB).
Familiarity with the full software development lifecycle including design, testing, CI/CD, deployment, and monitoring.
Demonstrated ability to operate effectively in ambiguous, fast-moving environments — you can set direction and make progress when requirements are incomplete or evolving.
Comfortable working with Git and on a team using agile/scrum.
Experience in healthcare or an adjacent regulated industry is a plus; familiarity with HIPAA requirements in practice is preferred.
Startup experience is a plus — comfortable wearing multiple hats and moving quickly without sacrificing quality.

Technologies

Python
AWS Lambda
AWS API Gateway
FastAPI
PostgreSQL
MySQL
DynamoDB
MongoDB
Git

Benefits

401(k)
401(k) matching
Dental insurance
Employee discount
Health insurance
Health savings account
Life insurance
Paid time off
Referral program
Retirement plan
Tuition reimbursement
Vision insurance

About Us

Health Data Analytics Institute (HDAI) is a commercial-stage HealthTech company. Our Intelligent Health Management System, HealthVision, is a first-in-class enterprise solution that leverages real-time predictive analytics and generative AI to deliver improved outcomes, efficiencies, and economics for health systems and value-based care organizations.

Pay

USD 155,347.00 - 185,457.00 per year

Work Location

Hybrid remote in Dedham, MA 02026

View full job page →

3d ago

Databricks Data Engineer II

Deloitte Boston, MA

Boston, MA

3d ago

$87k - $171k/yr Full time Big Data Cloud Platform Data Analytics

Apply Now

Job Description

Deloitte invites applications for a Databricks Data Engineer II based in Boston, onsite. In this role, you will design, build, and optimize cloud-based data pipelines and platforms to support analytics and AI use cases, collaborating with business and technology teams to modernize data environments and enable data-driven decision making.

Responsibilities

Architect and implement data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Drive modernization of enterprise data platforms by deploying cloud-based ingestion, transformation, and storage patterns
Create and manage batch and streaming data workflows to support reporting, analytics, and AI use cases
Apply data architecture, integration, and modeling practices to improve data quality, scalability, and platform performance
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and support large-scale data transformation programs

Requirements

Ability to work independently and as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, ETL development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: AWS, Azure, or Google Cloud Platform
Ability to travel 50 percent on average
Limited immigration sponsorship may be available

Technologies

Databricks
Apache Spark
Python
SQL
Delta Lake
Databricks Workflows
Unity Catalog
Git
CI/CD pipelines
AWS
Azure
Google Cloud Platform (GCP)

Team

Within Deloitte's Core AI & Data practice, teams support clients in modernizing data platforms, strengthening enterprise data foundations, and scaling analytics and AI capabilities across the business. They architect, engineer, and deploy cloud-based data solutions that enable better decision-making, foster innovation, and drive large-scale transformation. Practitioners collaborate across business and technology functions to address complex challenges in data modernization.

Location

Boston, MA (onsite)

Compensation

USD 86,700 - 170,900 per year

Education and Experience

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, ETL development, or data platform engineering

Travel and Sponsorship

Ability to travel 50 percent on average
Limited immigration sponsorship may be available

Accommodation for Applicants

Information for applicants with a need for accommodation is available at Deloitte's career resources: Join Deloitte assistance for disabled applicants.

View full job page →

4d ago

Sr Software Engineer - Windows Applications

Draeger Medical Systems, Inc. Andover, MA

Andover, MA

4d ago

$115k - $127k/yr Full time Senior Engineering Information Technology (IT)

Apply Now

Job Description

A senior software engineer role focused on architecture, design, development, and testing of product software in a hybrid in-office arrangement in Andover, MA.

Responsibilities

Collaborate with cross functional teams of engineers and QA professionals to deliver reliable software across all development stages, from concept and design through integration, testing, and ongoing support
Create software architectures, convert requirements into robust solutions, and produce well-tested, maintainable code
Identify root causes of complex defects and resolve software issues independently
Provide technical leadership by defining requirements, guiding design choices, and coaching team members
Coordinate engineering work streams and drive on time delivery of modules and subsystems by setting clear goals
Lead and perform unit, subsystem, and integration testing to ensure quality and reliability while promoting best testing practices across the team
Support system level activities by partnering with clinical, quality, service, and test engineers to reproduce issues, run tests, and document findings in defect tracking systems
Contribute to program planning, strategic initiatives, and ongoing process improvements across the organization
Mentor junior engineers through technical coaching, code reviews, and constructive feedback
Ensure compliance with internal SOPs and applicable FDA and industry regulations
Maintain and enhance software development processes, tools, and configuration management practices

Requirements

5 to 8 years of software design, analysis, and troubleshooting in an engineering environment, or 3 to 6 years with a Master’s degree
Proven experience providing technical leadership within a complex software development environment
Strong background in Windows application development, including Win32 and MFC
Experience with Windows batch scripting
Curiosity and ability to explore Windows internals to diagnose and resolve complex system behaviors
Proficiency in C++ and Python
Experience debugging applications using Visual Studio
Working knowledge of TCP/IP and UDP networking
Ability to elicit, document, analyze, review, and trace software requirements

Technologies

Win32
MFC
Windows batch scripting
C++
Python
Visual Studio
TCP/IP
UDP
C#
CMake
Ninja
UWF
Secure Boot
BitLocker

Benefits

Medical, dental, and vision insurance
Life, short- and long-term disability coverage
401(k) with company match
More than four weeks of paid time off, plus holidays and parental leave
Flexible spending accounts and employee assistance program
Select locations offer free parking, on-site gym, cafeteria, and game room

Details

Location: Andover, MA (hybrid) • Salary: USD 115,000 - 127,200 per year • Experience: 3+ years minimum; 5-8 years preferred, or 3-6 years with a Master’s degree • Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent practical experience)

View full job page →

6d ago

Software Engineer II, Autonomy Platform, Data and Tools

Amazon.com Services LLC North Reading, MA

North Reading, MA

6d ago

$144k - $194k/yr Full time Autonomous Vehicles Buildroot Cuda

Apply Now

Job Description

What you get is a position on the Platform, Data and Tools team at Amazon Robotics, onsite in North Reading, MA. You’ll contribute to onboard mapping, perception, motion planning and control software, and you’ll help build ML training and deployment pipelines plus data tools. The role offers a competitive salary range of USD 143,700 to 194,400 per year and a benefits package that includes medical, dental, and vision coverage, maternity and parental leave options, paid time off, and a 401(k) plan.

Responsibilities

Optimize runtime performance of core algorithms by leveraging underlying hardware acceleration capabilities
Integrate new sensors and hardware components into the autonomy software stack
Develop and customize our Nvidia Jetpack based platform and OS
Build data pipelines and tools to enable ML development workflows
Develop software to enable remote diagnostics, recovery and control of autonomous robots
Create visualization tools for analyzing and debugging robot behavior
Design and develop software interfaces to support hardware testing and manufacturing processes

Requirements

3+ years of non-internship professional software development experience
Experience programming with at least one software programming language
Knowledge of professional software engineering practices across the full software development lifecycle, including coding standards, software architectures, code reviews, source control, continuous deployments, testing, and operational excellence

Technologies

Nvidia Jetpack
CUDA kernels
C, C++
Unix
AWS
Yocto
Buildroot

Preferred qualifications

Experience with CUDA kernels or ML/low-level kernels
Embedded development in C/C++
Experience in cloud-based development and production environments such as AWS
Experience building tools for building, testing, releasing or monitoring
Experience with Unix or device technologies under development, familiarity with flashing firmware, basic device debugging and reading/pulling device logs
Experience building custom distributions using Yocto or Buildroot