platform data engineer – us defense / public sector

.net full stack engineer

data engineer

platform data engineer – us defense / public sector Jobs in Boston

principal ai/ml engineer

principal machine learning engineer Jobs in Boston

principal machine learning engineer

senior data engineer

CVS Health

<div><p>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.</p><p></p><p><b>
Position Summary</b></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
In this role, you will:</p><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><p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Required Qualifications</b></p><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><p></p><p><b>
Preferred Qualifications</b></p><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><p></p><p><b>
Education</b></p><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><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
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.</p><p><br>
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.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
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:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> 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.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

PA Consulting

<div><div><p>We believe in the power of ingenuity to build a positive human future.</p><p>
As strategies, technologies, and innovation collide, we create opportunity from complexity.</p><p>
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.</p><p>
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.</p><p>
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.</p><p>
PA. Bringing Ingenuity to Life</p></div><br>
<div><div><div><div><h4 class="jobSectionHeader"><b>Job description</b></h4><p><b>
Your day to day</b></p><p>
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.</p><p>
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?</p><p>
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.</p><p>
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.</p><p>
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.</p></div><br>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Qualifications</b></h4><p>
Qualifications</p><p>
At<b> </b>least<b> 8 years</b> of industry working experience as a data engineer</p><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><p><b>
Preferred qualifications</b></p><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><br>
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Additional information</b></h4><p>
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.</p><p>
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.</p><p>
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.</p><p><b>
The salary range for this role is between $155,000k - $180,000k</b><br>
<br>
Benefits</p><ul><li><p>
Group medical insurance</p></li><li><p>
Health Savings Account with company match</p></li><li><p>
Teladoc and informed Nurse line resources</p></li><li><p>
Long term care plan</p></li><li><p>
Group dental insurance</p></li></ul><ul><li><p>
Vision plan</p></li><li><p>
401(k) Savings Plan with company profit sharing contribution</p></li><li><p>
Commuter and Parking tax-savings benefit</p></li><li><p>
15 days paid vacation days with the opportunity to buy five additional days</p></li><li><p>
10 paid Holidays plus 10 paid sick days</p></li></ul><ul><li><p>
Company and Voluntary income protection benefits</p></li><li><p>
Gym and health incentive reimbursement</p></li><li><p>
Pet and legal insurance Plans</p></li><li><p>
Employee Assistance Plan</p></li><li><p>
Annual performance-based bonus</p></li></ul><p>
#LI-JS1</p></div></div></div></div></div>

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><p><i>
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.</i></p>
<p>
Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team.</p>
<p><b>
How You'll Make a Difference</b></p>
<p>
As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders.</p>
<p>
Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale.</p>
<p><b>
What You'll Do (Responsibilities)</b></p>
<p><b>
Accelerating Engineering with AI</b></p>
<ul>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.</li>
</ul>
<p><b>Data Architecture &amp; Optimization</b></p>
<ul>
<li>Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies.</li>
<li>Architect solutions for attribution models, event data pipelines, and analytics at scale.</li>
<li>Lead performance optimization efforts across Snowflake and related data systems.</li>
<li>Define and enforce best practices for query performance, warehouse management, and cost control.</li>
</ul>
<p><b>Pipeline &amp; Platform Ownership</b></p>
<ul>
<li>Own end-to-end data pipelines, ensuring reliability, scalability, and observability.</li>
<li>Lead complex DAG orchestration with Airflow/MWAA.</li>
<li>Oversee Spark/EMR cluster management, job optimization, and large-scale backfills.</li>
<li>Implement monitoring, alerting, and automated recovery strategies for production systems.</li>
</ul>
<p><b>Infrastructure &amp; DevOps Leadership</b></p>
<ul>
<li>Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources.</li>
<li>Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform.</li>
<li>Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild.</li>
<li>Promote containerization best practices with Docker for scalable deployments.</li>
</ul>
<p><b>Cost &amp; Performance Management</b></p>
<ul>
<li>Monitor Snowflake and EMR usage to proactively optimize costs.</li>
<li>Analyze query performance and warehouse efficiency.</li>
<li>Troubleshoot and resolve pipeline and infrastructure performance issues.</li>
</ul>
<p><b>Leadership &amp; Mentorship</b></p>
<ul>
<li>Mentor and coach junior and mid-level data engineers through code reviews and technical guidance.</li>
<li>Establish and enforce coding standards, testing practices, and CI/CD processes.</li>
<li>Serve as technical lead for cross-functional data initiatives.</li>
<li>Advocate for reliability, performance, and cost optimization across the data engineering function.</li>
</ul>
<p><b>Who You Are (Qualifications)</b></p>
<ul>
<li>5+ years of data engineering experience, including demonstrated technical leadership.</li>
<li>Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning.</li>
<li>Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance.</li>
<li>Strong Python skills for data processing, API integrations, and internal tooling.</li>
<li>Experience architecting data lakehouse solutions.</li>
<li>Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR.</li>
<li>Proven experience operating production systems with a strong focus on reliability and cost efficiency.</li>
<li>Demonstrated experience leveraging AI to improve personal and team workflows.</li>
<li>Strong problem-solving skills and an operational mindset focused on SLAs and production stability.</li>
<li>Ability to align technical decisions with business priorities.</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Expertise in Spark/EMR performance optimization and scaling strategies.</li>
<li>Advanced Terraform usage across multi-environment infrastructure.</li>
<li>Extensive experience with Airflow/MWAA orchestration at scale.</li>
<li>Strong Docker and container orchestration experience.</li>
<li>Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents.</li>
<li>Domain experience in:</li>
<li><ul><li>Marketing attribution modeling and analytics data flows</li>
<li>Event data ingestion, transformation, and large-scale aggregation</li>
<li>Data warehouse governance, optimization, and cost modeling</li>
<li>BI infrastructure and operational excellence</li></ul></li></ul><br>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p><p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Data Engineer, Business Intelligence

Edison Smart®

<div>
 <p>
  <strong>
   Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Boston, MA (Hybrid)
 </p>
 <p>
  <strong>
   Contract Type:
  </strong>
  Contract
 </p>
 <p>
  <strong>
   Rate:
  </strong>
  $90&ndash;$130/hr (W2 or 1099)
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  6-12 months (extension possible)
 </p>
 <p>
  <strong>
   Right to Work:
  </strong>
  Must be authorized to work in the United States
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This program is moving beyond experimentation and PoCs, with a strong emphasis on
  <strong>
   production-grade ML
  </strong>
  ,
  <strong>
   edge deployment
  </strong>
  , and
  <strong>
   robustness under real-world constraints
  </strong>
  such as latency, compute limits, and sensor noise.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
  Python, PyTorch or TensorFlow, Computer Vision, Edge ML, ROS2 , Sim2Real
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
  </strong>
 </p>
</div>


Senior Robotics ML Engineer | Boston, MA

Franklin Fitch

<div>
 <p>
  <strong>
   Network Engineer | Boston (Hybrid) | Global Financial Services | $130k-$150k | Network &bull; Voice &bull; Azure Cloud &bull; Cisco &bull; Enterprise Infrastructure
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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).
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands‑on senior role supporting network operations, design, voice systems, and cloud connectivity in a mission‑critical environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Work On
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Bring
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why It&rsquo;s a Great Role
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
</div>


Network Engineer

McKinsey & Company

<p></p><div><div><div><p>Job ID: 106488</p>
<div><div><li>Boston</li><li>Chicago</li><li>New York City</li><li>San Francisco</li><li>Silicon Valley</li>
</div><div>+ 1 More</div></div><p></p><div><br>
</div></div><div><br>
<br>
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div><p>YOUR IMPACT</p>
<div><p>Come and work with our Firm&rsquo;s top technical minds on a product team developing an AI Platform that will enable next-generation client services. Be at the forefront of developing this exciting technology for our Firm.</p><p></p><p>
You will work with a cross-functional team that includes senior firm leaders, CST leaders, practice leaders and cutting-edge engineers. The team is led by some of our Firm&rsquo;s most senior leaders, including Asutosh Padhi, Brian Elliott, and Klemens Hjartar and is scaling to a large team of full-stack engineers, data engineers, data scientists, and designers.</p><p></p><p>
This role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.</p><p></p><p>
We are looking for a Data Engineer with expertise in Python development, including data workflows, knowledge graphs, and/or generative AI.You would be working closely with software engineers, data scientists, UI/UX designers, and other technologists.</p><p></p><p>
Your work would include but won't be limited to creation of the python code, tests, creation and modification of CI/CD pipelines, working with multiple cloud infrastructures (AWS, Azure, GCP) and docker containers.</p><p></p><p>
You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with multiple cloud infrastructures and docker containers.</p></div><p></p>
</div></div><div><div><p>YOUR GROWTH</p>
<p>Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div><p>YOUR QUALIFICATIONS AND SKILLS</p>
<div><ul><li>US Citizenship required</li><li>
Defense experience and experience working with data at various classification levels required</li><li>
SECRET Security Clearance Required; TS+ clearance preferred</li><li>
3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services; other clouds (Azure, GCP) a plus</li><li>
Previous enterprise platform experience preferred</li><li>
Significant previous experience with Neo4j and strong understanding of knowledge graphs, as well as strong experience with relational databases</li><li>
Practicing high coding standards with clean code, modularity, error handling, testing automation and more</li><li>
Hands-on experience with Docker</li><li>
Solid and demonstrable background in data pipeline performance and diagnostics</li><li>
Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges</li><li>
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment</li></ul></div></div></div></div></div><p></p>

Platform Data Engineer – US Defense / Public Sector

ABCorp NA Inc.

<p></p><div><div><div><div><p>From our nation&rsquo;s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing. What began with protecting America&rsquo;s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide.</p><p>
Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 Years of Expertise &ndash; no one knows secure manufacturing and authentication better, and no one has done it longer. We maintain global reach and compliance with eight locations around the world, and we&rsquo;ve been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing.</p><p></p><h2 class="jobSectionHeader"><b><br>
The Team</b></h2><p>
 At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset.</p><p>
The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business decisions. Analytics Engineers serve as trusted advisors to stakeholders across the organization, translating complex data into actionable insights that shape our secure payment products, enterprise SaaS platforms, and digital consumer experiences. Our team owns everything from data modeling and instrumentation to metrics definition, experimentation frameworks, and self-service analytics that empower teams to make data-driven decisions at scale.</p><p>
 Learn more about ABCorp's story, products and team at abcorp.com.</p><p></p><h2 class="jobSectionHeader"><b><br>
The Role</b></h2><p>
ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve as a hybrid Data Analyst and Data Engineer, understanding the business problems to solve and building scalable data infrastructure to achieve business goals. The ideal candidate will possess strong analytical and technical skills, excellent communication abilities, and a proven track record of partnering with product and business teams to drive measurable impact through data.</p><p>
The ideal candidate will bring an intense focus on data quality and reliability, an ability to influence cross-functional stakeholders, strong product intuition paired with analytical rigor, and a passion for building scalable data models and self-service analytics capabilities. As a key partner to our Product and Engineering teams, you will help shape products that reach millions of people in their everyday lives across fintech, commercial, healthcare, and government industries worldwide.</p><p>
This is an in-person role with our team based in Boston, MA.</p><p></p><h2 class="jobSectionHeader"><b><br>
How You&rsquo;ll Make a Difference:</b></h2><ul><li>
Partner closely with Product Management, Sales, and Customer Success teams to understand their data and reporting needs, translating business questions into structured analysis, metrics, and data-driven insights.</li><li>
Build and maintain data warehouse models that serve as the source of truth for product usage, customer engagement, manufacturing efficiency, and business performance metrics.</li><li>
Design, implement, and own key performance indicators (KPIs) and metrics frameworks that measure product success, user adoption, feature utilization, and business outcomes across our payment card manufacturing, enterprise SaaS, and digital issuance products.</li><li>
Create dashboards, reports, and self-service analytics tools that enable stakeholders across Product, Sales, Customer Success, and Operations to access and act on data independently.</li><li>
Model and integrate data from multiple sources including CRM systems, product usage events, manufacturing operations, billing systems, and customer feedback to power automation, enrichment, and operational workflows.</li><li>
Collaborate with Product and Engineering teams on event instrumentation, schema design, and data collection best practices to ensure clean, reliable data capture.</li><li>
Conduct deep-dive analyses on customer behavior, feature adoption, conversion funnels, retention patterns, and operational efficiency to identify opportunities and inform product roadmap prioritization.</li><li>
Support experimentation and A/B testing initiatives by designing test frameworks, analyzing results, and communicating findings to stakeholders.</li><li>
Own data quality, observability, and governance practices including documentation, testing, and monitoring to ensure trustworthy analytics.</li><li>
Build forecasting models and contribute to strategic planning by providing data-driven projections on customer growth, revenue, and product performance.</li><li>
Identify opportunities to automate reporting, improve data pipelines, and scale analytics capabilities as the business grows.</li><li>
Serve as a trusted data partner and educator, helping teams across the organization develop stronger data literacy and make better decisions.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Who You Are</b></h2><ul><li>
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field.</li><li>
3-5+ years of experience in product analytics, data analysis, or analytics engineering roles, ideally supporting SaaS, payments, fintech, ecommerce, or enterprise software products.</li><li>
Expert-level proficiency in SQL and experience with analytical data modeling, ideally using tools like dbt, SQLMesh, or similar frameworks.</li><li>
Strong experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, and familiarity with ELT/ETL workflows.</li><li>
Proficiency with BI and visualization tools such as Tableau, Looker, Mode, Hex, or similar platforms for building dashboards and reports.</li><li>
Working knowledge of Python or R for data analysis, automation, and light data engineering tasks.</li><li>
Demonstrated ability to translate ambiguous business questions into clear analytical frameworks and actionable recommendations.</li><li>
Strong communication skills with the ability to present complex data insights to both technical and non-technical audiences.</li><li>
Experience working cross-functionally with Product, Engineering, Sales, and Customer Success teams.</li><li>
Comfort working with product analytics data including event tracking, user behavior, funnel analysis, cohort analysis, and retention metrics.</li><li>
Experience with experimentation, A/B testing, and statistical analysis is a plus.</li><li>
Familiarity with payments, card issuance, authentication, identity, fintech, or secure manufacturing domains is a plus.</li><li>
Self-starter mindset with strong ownership, attention to detail, and ability to work independently in a fast-paced, evolving environment.</li><li>
Ability to work onsite in Boston, MA.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Why Join ABCorp?</b></h2><ul><li>
Unique opportunity to build data capabilities and drive insights on a global scale.</li><li>
Ability to shape analytics for secure payment, authentication, identity and additive manufacturing products that impact people's everyday lives.</li><li>
Opportunity to work with a market leader at the intersection of fintech, security, and digital products.</li><li>
Company with rich legacy of innovation and trust.</li><li>
Incredible global team with collaborative work environment.</li><li>
Competitive salary and benefits package.</li><li>
Professional growth and development opportunities.</li></ul></div></div></div></div><p></p>

Sr. Analytics Engineer, Financial & Card Issuance

Explore 253+ Senior data engineer in Boston this March. Find roles across top companies and apply now to boost your career.

253 senior data engineer jobs In Boston

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer, Business Intelligence

Senior Robotics ML Engineer | Boston, MA

Network Engineer

Platform Data Engineer – US Defense / Public Sector

Sr. Analytics Engineer, Financial & Card Issuance