Boston, MA

Engineer Jobs in Boston, MA

10 jobs found

Include remote jobs

Today

Principal/Lead Systems Engineer

StataDX Boston, MA

Boston, MA

Today

$8,000 - $12,000/mo Full time Senior Design Design Engineering

Apply Now

Job Description

StataDX is seeking a Principal/Lead Systems Engineer to drive the development of a diagnostic instrument built around a microfluidic cartridge platform. The role serves as the technical lead for instrument development, system architecture, cartridge-reader interfaces, and coordination with an external design partner. This onsite position is based in Boston, MA and offers a monthly salary range of USD 8,000 to 12,000.

Responsibilities

Oversee the creation of a diagnostic instrument for a microfluidic cartridge platform
Define and validate the mechanical, pneumatic, and thermal interfaces between the instrument and cartridge
Act as the primary technical lead in collaboration with an external engineering design firm
Work with assay scientists to automate microfluidic workflows

Requirements

Bachelor's degree in systems engineering, biomedical engineering, or a related field
Experience developing diagnostic or life science instrumentation
Experience with integrated systems that combine microfluidics, mechanical components, and electronics

Benefits

Dental insurance
Health insurance
Paid time off
Relocation assistance

Desirable Skills

Experience with microfluidic systems or cartridge-based diagnostics
Experience with early-stage hardware development in startup environments
Track record collaborating with external engineering design firms and contract manufacturers

View full job page →

9d ago

Senior Data Engineer

Liberty Mutual Boston, MA

Boston, MA

9d ago

$114k - $197k/yr Full time Senior Analytics Data Analytics

Apply Now

Job Description

Liberty Mutual Investments Technology invites a Senior Data Engineer to design and operate enterprise data pipelines touching market, reference, and financial data within the EDM platform (formerly Markit EDM). This role is based in Boston with a hybrid work arrangement and offers a competitive salary range of USD 114,000 - 197,000 per year. You will join a collaborative, agile engineering culture that values mentorship, operational excellence, and software craftsmanship as part of a broader data platform initiative.

Responsibilities

Design, develop, maintain, and support data management workflows, data models, and integration processes.
Configure and support ingestion, validation, enrichment, matching, and distribution within the EDM system.
Support reporting, analytics, and downstream data integration processes connected to the EDM platform.
Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data.
Integrate data from internal and external vendors, APIs, flat files, and enterprise applications.
Implement data quality checks, reconciliations, exception handling, and monitoring processes.
Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model.
Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
5+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines.
Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts.
Hands-on experience supporting and developing solutions within Markit EDM.
Experience working with market data, reference data, or financial services data platforms.
Proficiency in Python for data processing, automation, and integration.
Experience troubleshooting complex production data issues.
Strong communication and stakeholder management skills.

Technologies

SQL
Python
Markit EDM
Microsoft SQL Server

Benefits

Comprehensive benefits
Workplace flexibility
Professional development opportunities
Opportunities through our Employee Resource Groups

Description

This role requires a hybrid work arrangement based in Boston.

Fair Chance Notices

California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco

View full job page →

11d ago

Principal Full Stack Software Engineer (Developer)

Federal Home Loan Bank of Boston Boston, MA

Boston, MA

11d ago

$119k - $193k/yr Full time Backend Developer Senior .NET

Apply Now

Job Description

Principal Full Stack Software Engineer role in Boston, MA (hybrid) focusing on Angular and .NET Core with architectural guidance aligned to enterprise standards.

Responsibilities

Lead the design, development, and deployment of full stack applications using Angular and .NET Core (C#).
Architect and implement CI/CD pipelines using Azure DevOps.
Ensure code quality and maintainability through automated testing and static code analysis using Angular testing tools and SonarQube.
Collaborate with UI/UX designers and product teams using Figma to translate designs into responsive, accessible, and high-performance user interfaces.
Mentor and guide development teams on best practices, code reviews, and architectural decisions.
Drive continuous improvement in development processes, tools, and methodologies.
Troubleshoot and resolve complex technical issues across the stack.
Other duties, as assigned.

Requirements

Expert-level proficiency in Angular (v18+), CSS, JavaScript and .NET Core (C#).
Expert-level proficiency with MS SQL Server: ability to write complex queries using joins, cursors, etc., create stored procedures, functions and views using SQL Server Management Studio, and create SSIS packages.
Proven experience with Azure DevOps, including pipeline creation and release management.
Strong understanding of unit testing, integration testing, and end-to-end testing in Angular.
Hands-on experience with SonarQube for code quality and security analysis.
Strong background with Figma for UI/UX collaboration and design implementation.
Deep understanding of RESTful APIs, microservices architecture, and cloud-native development.
Excellent communication and leadership skills.
Strong knowledge of Angular architecture patterns (feature modules, shared libraries, lazy loading) and the ability to define scalable standards for large enterprise applications.
Advanced experience with RxJS and state management patterns (NgRx/Component Store) to build predictable, testable UI behavior.
Demonstrated expertise in front-end performance optimization (change detection strategy, trackBy, bundle analysis, code splitting, caching) and diagnosing production issues.
Strong understanding of accessibility and usability best practices (WCAG, ARIA) and experience building responsive, cross-browser user interfaces.
Hands-on experience implementing secure web applications (OWASP Top 10) including authentication/authorization patterns (OAuth2/OIDC, JWT) and secure API integration.
Proven ability to lead technical direction through architecture reviews, coding standards, and mentoring—driving alignment across multiple teams and stakeholders.
Experience in financial services or enterprise-scale application delivery.

Technologies

Angular
Angular (v18+)
CSS
JavaScript
.NET Core (C#)
MS SQL Server
Azure DevOps
SonarQube
Figma
RESTful APIs
microservices architecture
cloud-native development
NgRx/Component Store
RxJS
OAuth2/OIDC
JWT
Docker
Kubernetes
AWS
SSIS packages
SQL Server Management Studio

Benefits

Career development opportunities
Robust benefits
Work-life balance
Annual incentive program
Total rewards offerings

Anticipated Pay Range

The anticipated base pay range for this role is $119,000 - $193,000 per year

Preferred Qualifications

Familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS preferred).
Knowledge of accessibility standards and performance optimization techniques.

View full job page →

14d ago

Robotics and AI Software Engineer - Autonomous Navigation

Nextera Robotics Boston, MA

Boston, MA

14d ago

$110k - $170k/yr Full time Computer Vision Planning Software Robotics

Apply Now

Job Description

Nextera Robotics seeks a Robotics and AI Software Engineer to advance autonomous navigation through planning and control software for the company’s mobile robot stack.

Responsibilities

Play a pivotal role in building planning and control software for the autonomous mobile robot stack, with a focus on navigation capabilities.
Participate in the development of robust navigation techniques for our new robot models.
Collaborate with the engineering team in Boston to translate concepts into real products.

Requirements

Experience with localization, planning, and/or controls for drones or mobile robots in academia or industry.
Strong background in computer science, mathematics, or physics.
Excellent programming skills across relevant languages and tools.
Familiarity with simulation tools to model and test robotic systems.
Strong communication and interpersonal abilities for cross functional collaboration.

Technologies

Visual SLAM
Lidar based SLAM
Factor Graphs
ROS
CUDA

Benefits

Dental insurance
Green card sponsorship
Health insurance
Relocation assistance
Visa sponsorship
Vision insurance

Job Type

Full-time

Pay

USD 110,000.00 - 170,000.00 per year

Location

Boston, MA (onsite)

Work Location

In person

View full job page →

16d ago

Senior Analytics Engineer, People Data

Anduril Industries Boston, MA

Boston, MA

16d ago

$166k - $220k/yr Full time Senior Analytics Data

Apply Now

Job Description

A senior Analytics Engineer on Anduril Industries’ People Data & Analytics team in Boston, MA, focused on building and maintaining data infrastructure, models, and pipelines to enable analytics-ready HR datasets and data-driven decisions.

Responsibilities

Design, build, and optimize robust ETL/ELT pipelines to ingest, integrate, and transform diverse people data from HRIS, ATS, LMS, and other HR systems into the data platform.
Develop, maintain, and govern scalable data models, schemas, and ontologies for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
Contribute to the strategic design, development, and evolution of the people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (SQLMesh, Iceberg, Flyte).
Partner with People Analysts, HR Business Partners, and other stakeholders to understand analytical needs and translate them into robust data solutions with well-structured, documented datasets.
Implement and monitor data quality checks, troubleshoot discrepancies, and ensure reliability and integrity of people data across systems.
Continuously monitor the performance of data pipelines and models, identify bottlenecks, and implement solutions to improve efficiency and scalability of the data infrastructure.
Create and maintain comprehensive documentation for pipelines, models, and processes; champion data engineering best practices such as version control, testing, and CI/CD within the team.
Implement and enforce strict data security measures and ensure compliance with internal policies and external regulations (GDPR, CCPA) related to employee data privacy.
Collaborate with enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the evolution of the data platform.

Requirements

5+ years of experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and infrastructure.
Expert-level SQL proficiency for complex data manipulation and querying, plus advanced Python for scripting, data processing, and automation.
Extensive experience with cloud-based data warehouses (Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (AWS S3, Azure Data Lake Storage).
Deep understanding of designing, implementing, and maintaining robust analytical data models (dimensional modeling, Kimball methodology).
Hands-on experience building and optimizing ETL/ELT pipelines using modern orchestration tools such as dbt, Apache Airflow, Flyte, Dagster, or similar.
Excellent written and verbal communication, with the ability to translate technical concepts for non-technical stakeholders and collaborate across diverse teams.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
Strong technical foundation in data engineering, including SQL, Python, and experience with cloud platforms (AWS, GCP, Azure).

Technologies

SQL
Python
Snowflake
Google BigQuery
Amazon Redshift
Databricks
Delta Lake
Apache Iceberg
dbt
Apache Airflow
Flyte
Dagster
Apache Spark
Apache Flink
Palantir Foundry
SQLMesh
Looker
Tableau
Power BI
Terraform
CloudFormation
Docker
Kubernetes
Rippling
Workday
Oracle HCM Cloud
Amazon S3
Azure Data Lake Storage
Lattice OS
Google Cloud Platform

Compensation

Salary range: USD 166,000 – 220,000 per year.

Benefits

Highly competitive equity grants included with most full-time offers as part of total compensation.
Top-tier benefits for full-time employees.

Protecting Yourself from Recruitment Scams

No Financial Requests: Anduril will never solicit payment or request personal financial details at any stage of the hiring process.
Direct from Anduril: Recruiter emails come from an @anduril.com address.
Via Agency Partner: If contacted by a recruiting agency, the sender will clearly identify their agency; verify authenticity by emailing contact@anduril.com.
Exercise Caution with Unsolicited Outreach: Do not engage with suspicious messages; verify the sender's domain is @anduril.com before sharing information.
What to Do If You Suspect Fraud: Report any questionable outreach to contact@anduril.com.

Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

View full job page →

22d ago

Data & Analytics Senior Data Engineer

L.E.K. Consulting Boston, MA

Boston, MA

22d ago

$135k+/yr Full time Analytics Artificial Intelligence Big Data

Apply Now

Job Description

Senior Data Engineer with a focus on data engineering and AI/LLM initiatives within a leading strategy consultancy, collaborating with the Data Science & Engineering team to build pipelines, platforms, and client-facing analytics.

Responsibilities

Lead end-to-end data engineering and AI/ML projects from concept through deployment in client cloud environments, prioritizing scalability, performance, and reliability
Design and deliver data pipelines, data models, and infrastructure that support analytical and AI solutions for client use cases
Assist clients in defining data and AI strategies, translating business goals into actionable technical roadmaps and governance frameworks
Contribute to agentic AI engagements by designing multi-agent architectures and automation workflows that yield measurable client outcomes
Support technology due diligence, evaluating data infrastructure, AI/ML capabilities, engineering practices, and technical risks of target organizations
Interpret analytical outputs and help integrate data-driven insights into clients' business workflows
Collaborate with Managing Directors to scope and draft client proposals where data engineering and AI are central to delivery
Serve as the technical interface among the Data Science & Engineering team, consulting partners, and clients to ensure alignment on fit and delivery expectations
Translate technical requirements and constraints into clear, actionable language for client-facing presentations and proposals
Support the design and commercialization of new offerings in data strategy, AI strategy, agentic AI, and LLM-powered analytics
Contribute to internal enablement by keeping leadership informed about current data strategy and AI capabilities
Drive scalable, production-grade data pipelines and ETL/ELT processes feeding proprietary analytics products and client tools
Build and maintain cloud data infrastructure, including warehouses, data lakes, and data models for internal and bespoke client solutions
Develop AI-powered analytical applications utilizing LLMs, RAG architectures, and ML techniques to address complex client problems
Promote best-in-class engineering practices in data quality, CI/CD, containerization, and scalable architecture across IP assets
Stay current with data engineering tooling, cloud platforms, and AI/LLM frameworks; contribute to the D&A technical roadmap and standards
Identify new use cases where data infrastructure or AI can deliver outsized client value or strengthen internal capabilities
Collaborate with data scientists, product owners, and consulting stakeholders to continuously innovate on apps and proprietary data assets

Requirements

4+ years of applied data engineering experience with a track record of delivering scalable, production-grade data solutions
Strong data modeling, ETL/ELT pipeline design, and experience with large-scale structured and unstructured datasets
Proficiency in Python and SQL; experience with PySpark, Apache Airflow; familiarity with Spark or Scala
Hands-on experience deploying data solutions on Azure (preferred) or another major cloud (AWS, GCP); familiarity with on-prem Microsoft SQL Server
Experience with APIs (FastAPI), containerization (Docker, Kubernetes), DevOps practices, Git, and CI/CD
Experience with Microsoft Fabric across multiple workloads (Data Factory, Lakehouse, semantic models, Power BI)
Familiarity with building and deploying cloud-based analytics web applications is preferred
Experience with cloud data warehouses and data lake architectures (Snowflake, BigQuery, Redshift) is preferred
Hands-on development and deployment of LLM-based applications in production, including RAG pipelines, prompt engineering, and LLM evaluation
Experience designing agentic AI systems (multi-agent orchestration or automation workflows) using LangChain or equivalent
Familiarity with at least one major cloud AI platform (Microsoft Foundry, AWS Bedrock, or GCP Vertex AI) and associated deployment patterns
Knowledge of LLM evaluation frameworks (e.g., Ragas, LangSmith) and retrieval quality assessment is preferred
Experience with core agentic AI and LLM libraries (Transformers, LangGraph, Pydantic AI) in production settings is preferred
Ability to translate requirements for technical and non-technical audiences while collaborating with data science, engineering, and consulting teams
Prior experience in strategic consulting is preferred; exposure to sectors such as life sciences, healthcare, consumer, industrials, or TMT is a plus
Strong problem-solving capabilities and comfort working in a fast-paced, entrepreneurial environment with ownership

Technologies

Python
SQL
PySpark
Apache Airflow
Spark
Scala
Azure
AWS
GCP
Microsoft SQL Server
FastAPI
Docker
Kubernetes
Git
CI/CD
Microsoft Fabric
Data Factory
Lakehouse
Power BI
Snowflake
BigQuery
Redshift
LangChain
LangSmith
Transformers
LangGraph
Pydantic AI
Microsoft Foundry
AWS Bedrock
GCP Vertex AI
RAG

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with employer contribution
HSA contributions
Paid time off
Other firm-sponsored benefits

Location

Boston, MA
Chicago, IL
Los Angeles, CA
New York, NY
San Francisco, CA

Why join

Help grow a data driven capability within a top tier strategy consultancy
Collaborate with C-suite clients and life sciences innovators to deliver market-shaping insights
Play a leadership role in the firm’s evolving Data & Analytics and digital solutions strategy
Join a supportive, entrepreneurial team with access to cutting-edge tools and professional development

Additional information

The base salary is $135,000 annually. Compensation may vary by experience, qualifications, skills, and location, and discretionary bonus and comprehensive benefits may apply.
Offers a competitive total rewards package including medical, dental, vision, life and disability insurance, 401(k) with employer contribution, HSA contributions, paid time off, and other firm-sponsored benefits.
This role is based in Boston, Chicago, Los Angeles, New York, or San Francisco with a hybrid schedule requiring in-office presence Tuesday through Thursday and the first Friday of each month.
Applicants must be legally authorized to work in the United States on a permanent basis without employer sponsorship. Visa sponsorship is not available.
L.E.K. Consulting is an Equal Opportunity Employer and provides reasonable accommodations for qualified individuals with disabilities or religious beliefs as required by law.
For more information and to apply, please visit the firm’s careers site.
#LI-DE1

View full job page →

24d ago

Senior Software Engineer

Verisk Boston, MA

Boston, MA

24d ago

Full time Backend Developer Python Senior

Apply Now

Job Description

Verisk is seeking a Senior Software Engineer who will be based in Boston with a flexible hybrid work model. The role centers on AI/ML engineering for data-intensive SaaS platforms, building cloud-native systems, and deploying scalable ML-serving infrastructure on AWS.

Responsibilities

Design, build, and deploy machine learning models and AI-powered features into production SaaS products
Maintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets
Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns
Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality
Own data quality, observability, and monitoring for AI/ML workloads in production
Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS
Drive best practices in design, code quality, and system design across the team
Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment
Conduct code reviews and mentor team members on engineering standards
Proactively identify technical risks and communicate them early to course-correct
Participate in roadmap planning, scoping, and technology feasibility assessments
Contribute to a culture where solving customer problems is always the highest priority

Requirements

B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred
5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS products
Strong Python skills for data engineering, ML pipelines, and API development
Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Experience building and deploying production ML systems — model training, evaluation, versioning, and serving
Proficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch
Experience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalent
Solid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar)
Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system design
Familiarity with REST API design, microservices, and containerization (Docker, Kubernetes)
Experience with Agile development methodologies

Technologies

Python
C#/.NET
AWS (SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch)
Docker
Kubernetes
scikit-learn
PyTorch
TensorFlow
XGBoost
Apache Spark
Airflow
dbt
PostgreSQL
MSSQL
SQL
REST API
Angular
React

Benefits

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off

Nice to Have

Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems
Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools
AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent)
Experience with geospatial data, catastrophe modeling, or climate/weather datasets
Full-stack experience with Angular or React and .NET Core
Background in the insurance, reinsurance, or financial services industries