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.net/azure architect and technical lead - health data platforms Jobs in Boston

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big data engineer

PA Consulting

<div><div>We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life</div> 
<div><div><div><div><h4 class="jobSectionHeader">Job description</h4>
Your day to day
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about designing, building, and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.
#LI-JS1
#LI-Hybrid</div> 
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Qualifications</h4>
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time 
 
Minimum qualifications:<ul><li>
5-7 years of industry working experience</li><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li></ul>
Preferred qualifications:<ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul> 
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Additional information</h4>
The salary range for this role is between $118,000 - $125,000k 
 
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
Benefits<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li></ul><ul><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li></ul><ul><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul></div></div></div></div></div>

Data Engineer

<div><div>We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life</div> 
<div><div><div><div><h4 class="jobSectionHeader">Job description</h4>
Your day to day
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about both developing new capabilities and ensuring the optimization and reliability of existing data systems? Are you passionate about designing, building, and operating data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine?
If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers.
As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. This role provides a dynamic mix of innovative new development&mdash;enhancements, optimizations, and Proofs of Concept&mdash;alongside meaningful hands‑on ownership of production pipelines, data flows, and platform operations.
You will contribute to system improvements while also owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.</div> 
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Qualifications</h4>
Qualifications
At least 8 years of industry working experience as a data engineer<ul><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimization enhancements</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li><li>
Implementing data quality checks, observability, and cost/performance optimization</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li><li>
Ability to balance enhancement work with operational responsibilities in a production environment</li></ul>
Preferred qualifications<ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards)</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul> 
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Additional information</h4>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
The salary range for this role is between $155,000k - $180,000k 
 
Benefits<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li></ul><ul><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li></ul><ul><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul>
#LI-JS1</div></div></div></div></div>

Senior Data Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role, you will:<ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul>
Preferred Qualifications<ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Franklin Fitch

<div>
 
 
 Network Engineer | Boston (Hybrid) | Global Financial Services | $130k-$150k | Network &bull; Voice &bull; Azure Cloud &bull; Cisco &bull; Enterprise Infrastructure
 
 
 
 
 
 
 A global financial services firm is hiring a Network Engineer to join their Technology Infrastructure team. You&rsquo;ll support a highly available global network across data centers, Azure cloud environments, and international offices (US, UK, APAC).
 
 
 
 
 
 This is a hands‑on senior role supporting network operations, design, voice systems, and cloud connectivity in a mission‑critical environment.
 
 
 
 
 
 
 What You&rsquo;ll Work On
 
 
 
 
 
 <ul>
 <li>
 Maintain and enhance global WAN/LAN infrastructure
 </li>
 <li>
 Azure networking: VNETs, peering, VPN/ExpressRoute, gateways
 </li>
 <li>
 Deploy and manage Cisco routers, switches, VLANs, QoS, ACLs, VoIP
 </li>
 <li>
 Monitor network performance and lead issue resolution
 </li>
 <li>
 Support global voice platforms:
 </li>
 <li>
 Cisco CUBE/SBC
 </li>
 <li>
 Microsoft Teams Calling (Direct Routing)
 </li>
 <li>
 SIP connectivity
 </li>
 <li>
 Cisco UC Manager &amp; Unity Connection
 </li>
 <li>
 Implement network event logging, packet capture, and analysis
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 
 
 
 <ul>
 <li>
 Strong background in enterprise WAN/LAN engineering
 </li>
 <li>
 Azure cloud networking experience
 </li>
 <li>
 Cisco voice routing (CUBE/SBC) + SIP connectivity
 </li>
 <li>
 Microsoft Teams Calling with Direct Routing (required)
 </li>
 <li>
 Cisco Unified Comms deployment &amp; support (required)
 </li>
 <li>
 Solid understanding of TCP/IP, BGP, EIGRP, WAN options
 </li>
 <li>
 Experience with Wireshark, configuration management, and proper cabling standards
 </li>
 <li>
 CCNP/CCVP or similar certifications (preferred)
 </li>
 </ul>
 
 
 
 
 
 Why It&rsquo;s a Great Role
 
 
 <ul>
 <li>
 Work in a global environment with modern tech + Azure cloud
 </li>
 <li>
 High‑visibility role within a respected, privately held financial firm
 </li>
 <li>
 Engaged, collaborative engineering culture
 </li>
 <li>
 Mix of design, operations, and project work
 </li>
 <li>
 Growth, learning, and exposure to global infrastructure
 </li>
 </ul>
 
 
 
 
 If you're an experienced Network/Voice Engineer interested in a hybrid Boston‑based role with enterprise complexity and global scale, feel free to reach out or send your resume.
 
</div>

Network Engineer

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div><h2 class="jobSectionHeader">
We are looking for a Corporate Development Associate who is passionate about driving impactful growth through M&amp;A, capital markets and strategic projects.</h2>

As a Corporate Development Associate at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Corporate Development Director. and will primarily focus on supporting our M&amp;A sourcing and execution efforts.
<h2 class="jobSectionHeader">
What You'll Do:</h2>
<ul><li>Identify and research potential acquisition targets in line with our company's strategic goals</li>
<li>Assist in developing business cases and financial analyses for potential acquisitions, strategic investments, and new organic initiatives, including scenario modeling for capital allocation decisions</li>
<li>Conduct comprehensive industry research and competitive analysis to support strategic decision-making</li>
<li>Perform financial modeling and valuation analysis for M&amp;A opportunities, including DCF, comparable company analysis, and precedent transactions</li>
<li>Assist in due diligence processes, analyzing financial, legal, and operational data</li>
<li>Support the preparation of investment memoranda, term sheets, and other deal-related documents</li>
<li>Collaborate with cross-functional teams to drive M&amp;A, capital markets initiatives and strategic projects</li>
<li>Contribute to the development and maintenance of our deal pipeline and internal M&amp;A target reporting</li>
<li>Assist in post-merger integration planning and execution</li>
<li>Provide strategic finance support, including financial analysis, forecasting, and reporting</li>
</ul><h2 class="jobSectionHeader">What You'll Add to DigitalOcean:</h2>
<ul><li>Bachelor's degree in Finance, Economics, Business Administration, or related field</li>
<li>2-3 years of experience in investment banking, with a focus on M&amp;A transactions</li>
<li>Strong financial modeling and valuation skills</li>
<li>Excellent analytical and problem-solving abilities</li>
<li>Proficiency in Microsoft Excel and PowerPoint</li>
<li>Outstanding written and verbal communication skills</li>
<li>Ability to work independently and manage multiple projects simultaneously</li>
<li>Knowledge of the software, AI, and broader technology ecosystem is preferred</li>
<li>Final candidates will be required to complete a case study analysis during the final rounds</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$100,000 - $120,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7610

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Corporate Development Associate

Edison Smart®

<div>
 
 
 Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
 
 
 
 
 
 
 
 Location:
 
 Boston, MA (Hybrid)
 
 
 
 Contract Type:
 
 Contract
 
 
 
 Rate:
 
 $90&ndash;$130/hr (W2 or 1099)
 
 
 
 Duration:
 
 6-12 months (extension possible)
 
 
 
 Right to Work:
 
 Must be authorized to work in the United States
 
 
 
 
 
 
 Project Overview
 
 
 
 Join a cutting-edge robotics and autonomous systems program focused on deploying ML-driven perception and decision-making models on real-world robotic platforms operating in production environments.
 
 
 
 
 
 This program is moving beyond experimentation and PoCs, with a strong emphasis on
 
 production-grade ML
 
 ,
 
 edge deployment
 
 , and
 
 robustness under real-world constraints
 
 such as latency, compute limits, and sensor noise.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead design, training, and iteration of ML models for robotic perception, including object detection, segmentation, and tracking
 </li>
 <li>
 Deploy and maintain ML models on edge devices within robotic or autonomous platforms
 </li>
 <li>
 Optimize inference performance to meet latency, throughput, and compute constraints
 </li>
 <li>
 Evaluate and improve model performance using real-world sensor data
 </li>
 <li>
 Collaborate with autonomy, robotics, and systems teams to integrate ML outputs into downstream decision-making pipelines
 </li>
 <li>
 Mentor junior engineers and support post-deployment monitoring and continuous model improvement
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Extensive hands-on experience with Python and PyTorch or TensorFlow
 </li>
 <li>
 Proven track record deploying ML models into production environments (beyond research or notebooks)
 </li>
 <li>
 Strong practical experience applying computer vision or multimodal ML to real-world robotic or sensor data
 </li>
 <li>
 Deep understanding of ML trade-offs, including accuracy vs latency, model size, and compute efficiency
 </li>
 <li>
 Experience working where ML models interact with physical systems in real-time
 </li>
 </ul>
 
 
 
 
 
 Tech Stack:
 
 Python, PyTorch or TensorFlow, Computer Vision, Edge ML, ROS2 , Sim2Real
 
 
 
 
 
 
 Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
 
 
</div>

Senior Robotics ML Engineer | Boston, MA

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 Verisk
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 We are seeking a talented SDET with a deep passion for delivering quality while working closely with our growing development team. You will have the opportunity to set up new frameworks, create automated test scripts in a CI/CD environment, work with a variety of AWS services and continually optimize our automation processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop test framework/tools to achieve the efficiency and productivity to ensure functionality, reliability, performance and scalability of cloud.
 </li>
 <li>
 Develop automation tools/web application using angular.
 </li>
 <li>
 Research new tools in the market which can apply to our business need.
 </li>
 <li>
 Use a wide range of cutting-edge technology to innovate while testing/developing.
 </li>
 <li>
 Design scalable infrastructure for test execution.
 </li>
 <li>
 Explore new ways to expedite the testing life cycle by bringing in different frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. in Computer Science or equivalent quantitative degree; M.S. degree in Computer Science or equivalent preferred.
 </li>
 <li>
 0-2 years work experience
 </li>
 <li>
 Experience working with AWS infrastructure services.
 </li>
 <li>
 Coding experience with cloud microservices.
 </li>
 <li>
 Professional experience, not academia, architecting systems built with Amazon Web
 </li>
 <li>
 Services, Microservices, Docker images and containers.
 </li>
 <li>
 Experience coding with .Net core.
 </li>
 <li>
 Experience in developing and designing REST API's based web Services.
 </li>
 <li>
 Experience with Angular WEB development.
 </li>
 <li>
 Experience with web technologies: Angular, Node, JavaScript, CSS3, and HTML5.
 </li>
 <li>
 DevOps experience and familiarity with deployment using systems like docker, AWS.
 </li>
 <li>
 Must have experience with SAAS based automation framework development.
 </li>
 <li>
 Nice to have AI/ML exposure.
 
 
 </li>
 </ul>
 
 Preferred Technical Skills
 
 
 
 <ul>
 <li>
 Experience developing automation framework for SAAS based projects.
 </li>
 <li>
 Hands on experience in AWS/Cloud technologies.
 </li>
 <li>
 Hands on experience with Jasmine, Mocha, Protractor automation frameworks for web applications.
 </li>
 <li>
 Experience coding in C# and .Net core.
 </li>
 <li>
 Advanced experience working with any database technologies.
 </li>
 <li>
 Work in DevOps, installing, configuring, and integrating Automation scripts on Continuous Integration tools (CI/CD) like Azure for nightly test suite execution and working knowledge on testing and configuring Amazon Web services (AWS).
 </li>
 <li>
 AWS or Azure Architect certifications are desirable
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
 
 
 At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
 
 
 For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
 
 
 We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 
 
 Verisk Businesses
 
 
 Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
 
 
 Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
 
 
 Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
 
 
 Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
 
 
 Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
 
 
 Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
 
 
 Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
 
 
 Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
 
 
 Verisk Analytics is an equal opportunity employer.
 
 
 Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
 
 
 All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
 
 
 https://www.verisk.com/company/careers/
 
 
 Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
 
 
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