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data engineer- infrastructure Jobs in New York

data engineer- infrastructure

cloud engineer

Clusia

<div>
 
 Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft&rsquo;s Defender organization.
 
 The company is venture-backed and has not yet been publicly announced.
 
 
 
 
 
 
 
 Company Description
 
 
 
 Compliance operations are broken -- not because the rules are wrong, but because the tools are. Critical work is scattered across databases, vendor dashboards, spreadsheets, and email threads, leaving compliance and operations teams to manually stitch everything together with too little support and too little recognition.
 
 
 
 
 
 Clusia is building collaborative AI for financial compliance and payment operations. Our platform helps teams unify fragmented data, resolve payment issues faster, and manage obligations in one shared, no-code workspace. We&rsquo;re building for the analysts, program managers, and compliance leaders who keep financial systems running safely every day -- and who deserve better tools to do their best work.
 
 
 
 
 
 
 Role Description
 
 
 
 We&rsquo;re beginning to build out the founding team and are looking for a small number of founding engineers to work closely with the CTO from zero to one.
 
 
 
 
 
 This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a founding engineer, you&rsquo;ll own important parts of the product and company from the beginning -- from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences.
 
 
 
 
 
 You won&rsquo;t be handed a neatly scoped ticket queue. You&rsquo;ll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment.
 
 
 
 
 
 
 Compensation range:
 
 $160,000 - $225,000 base salary + equity and benefits
 
 
 
 
 
 
 Note: This role is in-person in New York City and you are required to ship code.
 
 
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 
 Compliance tech is next up.
 
 We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record.
 </li>
 <li>
 
 We&rsquo;re building a small, high-talent-density team.
 
 Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high.
 </li>
 <li>
 
 Your work will matter at global scale.
 
 The systems we&rsquo;re building will power critical operations for some of the largest financial institutions and technology companies in the world.
 </li>
 <li>
 
 You&rsquo;ll work with founders who have done this before.
 
 The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 AI expertise:
 
 You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems.
 </li>
 <li>
 
 Full-stack product engineering:
 
 You can build clean, reliable product experiences end to end.
 </li>
 <li>
 
 Infrastructure depth:
 
 You&rsquo;re comfortable with cloud services, deployment, observability, reliability, and security.
 </li>
 <li>
 
 AI evaluation experience:
 
 You know how to design tests, benchmarks, and feedback loops to measure model and agent quality.
 </li>
 <li>
 
 Startup execution mindset:
 
 You&rsquo;re pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems.
 </li>
 <li>
 
 Empathy for users:
 
 You care deeply about the people using what you build, not just the technical elegance of the solution.
 </li>
 <li>
 
 Builder energy:
 
 You&rsquo;ve built things outside of work -- maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.
 </li>
 </ul>
 
 
 
 
 Bonus points if you find the easter egg at https://www.clusia.com/careers!
 
</div>

Founding Software Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
As a Lead Software Engineer at JPMorgan Chase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects &ndash; and depending on your strengths and interests, you'll have the opportunity to move between them.
While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique &ndash; and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference &ndash; on us as a company, and on our clients and business partners around the world.
Job responsibilities
<ul><li>Use domain modeling techniques to allow us to build best in class business products.</li>
<li>Structure software so that it is easy to understand, test and evolve.</li>
<li>Build solutions that avoid single points of failure, using scalable architectural patterns.</li>
<li>Develop secure code so that our customers and ourselves are protected from malicious actors.</li>
<li>Promptly investigate and fix issues and ensure they do not resurface in the future.</li>
<li>Make sure our releases happen with zero downtime for our end-users.</li>
<li>See that our data is written and read in a way that's optimized for our needs.</li>
<li>Keep an eye on performance, making sure we use the right approach to identify and solve problems.</li>
<li>Ensure our systems are reliable and easy to operate.</li>
<li>Keep us up to date by continuously updating our technologies and patterns.</li>
</ul>Required qualifications, capabilities and skills
<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li>
<li>Identifies problems, proposes solutions, suggests what's best to focus on. Sees themselves as a problem solver.
</li><li>Contributes to the problem at hand, even when outside their area of speciality.</li>
<li>A desire to teach others and share knowledge. We aren't looking for hero developers, more for team players.</li>
<li>Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns and unlearns technologies and patterns quickly. Comfortable in uncharted waters.</li>
<li>Can see the long term. Won't sacrifice the future for the present. Chooses technologies and approaches based on the end goals.</li>
<li>High standards. Expects personal performance and team performance to be nothing short of the best.</li>
<li>Does not cut corners ethically. Earns and maintains trust.</li>
<li>Does what's best for the company, rather than what's best for themselves or their team.</li>
<li>Able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long term goals</li>
</ul>Technologies
<ul><li>We primarily use Jvm based languages (Java/Kotlin) but we also have parts of the platform that use other languages as needed.</li>
<li>We look to use Open source when it makes sense and build ourselves when it doesn't.</li>
<li>We are entirely cloud native and want to build a truly multi-cloud solution.</li>
<li>We look at each problem independently and pick the right technology to solve it.</li>
<li>We aren't afraid to try new things but we always remember that we are looking to build something to last, and we focus on solving real world problems for real life customers.</li>
</ul>#ICBengineering #ICBcareer
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Consumer &amp; Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.</div>

Lead Software Engineer - Backend Engineering - Java/Kotlin

LSEG (London Stock Exchange Group)

<div><h2 class="jobSectionHeader">ABOUT US:</h2> 
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, handle risk and create jobs. It&rsquo;s how we&rsquo;ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.
Through a comprehensive suite of trusted financial market infrastructure services &ndash; and our open-access model &ndash; we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.
LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG&rsquo;s ticker symbol is LSEG.<h2 class="jobSectionHeader"> 
Our People:</h2> 
People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.
We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and exciting experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.
We know that real personal growth cannot be achieved by simply climbing a career ladder &ndash; which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.
As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with significant careers.<h2 class="jobSectionHeader">
Role Summary</h2>
We are evolving our Service Management team to move beyond support and operations. As a Senior Engineer in service management, you will be part of a diverse and inclusive organization that has full ownership of the availability, performance, and scalability of one of the most critical services at LSEG.<h2 class="jobSectionHeader">
What You will be Doing:</h2>
We are looking for people with a passion to learn, and who bring a continuous improvement mentality to our team!<ul><li>
Support Managers maintain Service Level Objectives for the systems they own. Constantly measuring and improving availability, latency, and overall system health is at the core of our team's purpose.</li><li>
Write automation to scale systems sustainably, prevent service issues, or when they occur, quickly recover service.</li><li>
Partner with development teams to improve system reliability, observability, and release velocity.</li><li>
Participate in on-call rotations, incident response, postmortems, and root cause analysis and resolution.</li><li>
Be a vocal advocate of strong/sound engineering practices that allow us to build, deploy, and run scalable, reliable, and performant services.</li><li>
Enablers for Cloud migration working with foundation and migration teams from the inception of the projects performing architectural reviews, operational acceptable testing and configuring Datadog dashboards and metrics.</li><li>
Be part of continuous learning and development culture.</li></ul><h2 class="jobSectionHeader">
What You will Bring:</h2><ul><li>
A Bachelor's degree in computer science, a related technical field involving software/systems engineering, or equivalent practical experience.</li><li>
Experience with scripting languages such as: Shell, Python, or similar.</li><li>
Experience in maintaining Infrastructure as Code using Terraform.</li><li>
Hands on Experience with one of the following cloud platforms: Azure, AWS, or GCP.</li><li>
Knowledge on Docker and Kubernetes.</li><li>
Observability tools like Datadog, Dynatrace or similar.</li><li>
Implement and maintain CI/CD pipelines.</li><li>
Incident response and running blameless post-mortems.</li><li>
Proficient in Git workflows.</li></ul>
Preferred qualifications<ul><li>
Minimum 8-10 years in the industry</li><li>
Experience on DevOps concepts and way of working</li><li>
Experience with algorithms and data structures.</li><li>
Understanding of identity and access management, and application security.</li><li>
Native Azure relational databases.</li></ul>
We use Datadog and BigPanda for our observability stack, Terraform for our cloud infrastructure, and EntraID as our IAM solutions but we're very open to incorporating your experience with any other tools. 
Career Stage:
Manager
Compensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $114,200 - $190,400.
Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/&rdquo;bonus plan&rdquo;). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending &amp; Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG&rsquo;s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</div>

Senior Manager, Service Engineering

Weekday (YC W21)

<div>
 
 This role is for one of our clients
 
 
 
 Location:
 
 New York City, NY
 
 
 Salary Range:
 
 $150,000 &ndash; $250,000 (Base)
 
 
 
 Requirements
 
 
 
 About the Role
 
 
 
 
 We are seeking a talented and motivated
 
 Software Developer
 
 to join our growing engineering team in
 
 New York City
 
 . In this role, you will design, build, and scale high-quality software systems that power core products and services. You will collaborate closely with product managers, designers, and other engineers to deliver reliable, scalable, and user-focused solutions.
 
 
 
 This position is ideal for engineers who enjoy solving complex technical problems, building systems from the ground up, and working in a fast-paced, collaborative environment.
 
 
 
 
 Required Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
 
 
 </li>
 <li>
 
 3+ years of professional software engineering experience
 
 
 </li>
 <li>
 
 Strong proficiency in at least one modern programming language (such as Python, Java, Go, JavaScript, or TypeScript)
 
 
 </li>
 <li>
 
 Experience building scalable backend services, APIs, or distributed systems
 
 
 </li>
 <li>
 
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
 
 
 </li>
 <li>
 
 Experience with modern software development practices including Git, CI/CD, and automated testing
 
 
 </li>
 <li>
 
 Strong problem-solving and debugging skills
 
 
 </li>
 <li>
 
 Ability to work effectively in a collaborative, cross-functional environment
 
 
 
 
 
 </li>
 </ul>
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 
 Experience building products from early-stage development through scale
 
 
 </li>
 <li>
 
 Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
 
 
 </li>
 <li>
 
 Experience working with modern frontend frameworks (e.g., React)
 
 
 </li>
 <li>
 
 Knowledge of databases such as PostgreSQL, MySQL, or NoSQL systems
 
 
 </li>
 <li>
 
 Interest in emerging technologies such as AI, machine learning, or large-scale data systems
 
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 
 
 Base Salary:
 
 $150,000 &ndash; $250,000 (depending on experience and qualifications)
 
 
 </li>
 <li>
 
 Competitive equity or bonus opportunities
 
 
 </li>
 <li>
 
 Comprehensive health, dental, and vision benefits
 
 
 </li>
 <li>
 
 Generous paid time off and holidays
 
 
 </li>
 <li>
 
 Professional development and learning opportunities
 
 
 </li>
 <li>
 
 Collaborative and innovative work environment in New York City
 
 
 
 
 
 
 </li>
 </ul>
</div>

Software Developer

Blue Orange Digital

<div><h3 class="jobSectionHeader">Company overview:</h3>
Blue Orange Digital is a boutique data &amp; AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We&rsquo;re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.<h3 class="jobSectionHeader">
Position overview:</h3>
The ideal candidate is a US-based Senior Data Engineer who can step into an established enterprise data warehouse environment as a hands-on contributor and a peer-level thought partner to the client's data leadership. This role requires someone who can hit the ground running on a complex Oracle and Oracle Cloud Infrastructure (OCI) stack, plus AWS, bring opinionated patterns and alternatives to the table, and operate independently without day-to-day direction.
The successful candidate will balance maintaining a stable, well-established production environment with helping shape the next generation of the platform, including the team's adoption of Apache Iceberg, lakehouse patterns, and cloud-native ETL.
Note: This is a contractor role with potential expansion to full‑time employment, depending on performance and business needs.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Build and maintain data flow and transformation patterns across an enterprise Oracle data warehouse environment.</li><li>
Partner with the client database and platform teams to manage external tables, flat files, and high-volume batch ingestion.</li><li>
Identify and implement performance optimizations at the storage, query, and orchestration layers, including across a long-standing production warehouse with accumulated business logic.</li><li>
Maintain and extend cloud-to-Oracle integration patterns, the data catalog layer, and shell-script-based orchestration jobs.</li><li>
Operate and evolve the existing ETL stack while contributing to the evaluation and adoption of Oracle-native data transform tools.</li><li>
Contribute hands-on to the buildout of a hybrid lakehouse using Apache Iceberg, OCI Object Storage, Parquet, and external table patterns.</li><li>
Prepare for an upcoming shift in source ingestion toward cloud object storage and a data lake delivery pattern.</li><li>
Perform light Linux server administration and performance tuning on existing ETL infrastructure.</li><li>
Act as a collaborative thought partner with senior client stakeholders, proposing alternatives and surfacing patterns rather than waiting for prescriptive direction.</li><li>
Support potential future workstreams including master data management and golden record initiatives once data foundations are matured.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
5+ years of hands-on data engineering experience in Oracle-centric enterprise data warehouse environments.</li><li>
Current, hands-on experience with Oracle Cloud Infrastructure (OCI), specifically OCI Object Storage, OCI Data Transforms, Oracle Data Catalog, and OCI ETL patterns. Candidates needing ramp-up on OCI fundamentals will not be considered.</li><li>
Strong Oracle expertise, including advanced SQL, complex joins, performance tuning, and the ability to navigate a mature data warehouse with significant legacy business logic.</li><li>
Dimensional modeling proficiency, including star schemas, facts and dimensions, and slowly changing dimensions.</li><li>
Working knowledge of lakehouse concepts, including the role of object storage in a hybrid data warehouse and lakehouse architecture.</li><li>
Solid core ETL and ELT skills, including orchestration, error handling, dependency management, and high-volume batch ingestion.</li><li>
Working knowledge of Linux, including shell scripting, SSH-based administration, and basic server maintenance.</li><li>
Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.</li><li>
Excellent written and verbal communication. Able to operate as a peer-level collaborator with senior client subject matter experts.</li><li>
US-based with Eastern Time business-hours overlap.</li></ul><h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul><li>
Hands-on Apache Iceberg experience, including table format, metadata layer, and migration patterns.</li><li>
Production Pentaho experience.</li><li>
Experience with AWS S3 to Oracle ingestion patterns and cloud-to-warehouse data lake integration.</li><li>
Exposure to high-volume transactional reporting domains.</li><li>
Master Data Management or golden record program experience.</li><li>
Background in data warehouse modernization or lakehouse migration projects.</li></ul>
Compensation: $126,000 &ndash; $147,000 USD/year (or $10,500 &ndash; $12,250 USD/month)
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.</div>

Senior Data Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Full-time, Remote
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You&rsquo;ll work across the ML lifecycle&mdash;from problem framing and data exploration to model development, evaluation, deployment, and monitoring&mdash;often in partnership with client stakeholders and internal delivery teams.
 
 
 You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Problem Framing &amp; Stakeholder Partnership
 </li>
 <ul>
 <li>
 Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
 </li>
 <li>
 Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)
 </li>
 </ul>
 <li>
 Data Analysis &amp; Feature Engineering
 </li>
 <ul>
 <li>
 Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
 </li>
 <li>
 Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
 </li>
 <li>
 Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions
 </li>
 </ul>
 <li>
 Model Development (Core ML)
 </li>
 <ul>
 <li>
 Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)
 </li>
 <li>
 Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
 </li>
 <li>
 Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
 </li>
 <li>
 Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
 </li>
 <li>
 Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
 </li>
 </ul>
 <li>
 Deep Learning
 </li>
 <ul>
 <li>
 Build and train deep learning models using PyTorch or TensorFlow/Keras
 </li>
 <li>
 Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)
 </li>
 </ul>
 <li>
 Evaluation, Explainability, and Iteration
 </li>
 <ul>
 <li>
 Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
 </li>
 <li>
 Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
 </li>
 </ul>
 <li>
 Productionization &amp; MLOps (Project-Dependent)
 </li>
 <ul>
 <li>
 Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
 </li>
 <li>
 Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
 </li>
 </ul>
 <li>
 Documentation &amp; Communication
 </li>
 <ul>
 <li>
 Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
 </li>
 <li>
 Create documentation and lightweight demos that make results actionable
 
 </li>
 </ul>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)
 </li>
 <li>
 Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring
 </li>
 <li>
 Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)
 </li>
 <li>
 Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)
 </li>
 <li>
 Strong SQL skills (joins, window functions, aggregation, performance awareness)
 </li>
 <li>
 Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
 </li>
 <li>
 Hands-on experience across multiple model types, including:
 </li>
 <ul>
 <li>
 Classification &amp; regression
 </li>
 <li>
 Time series forecasting
 </li>
 <li>
 Clustering/segmentation
 </li>
 </ul>
 <li>
 Experience with deep learning in PyTorch or TensorFlow/Keras
 </li>
 <li>
 Strong problem-solving skills: ability to work with ambiguous goals and messy data
 </li>
 <li>
 Clear communication skills and ability to translate analysis into decisions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)
 </li>
 <li>
 Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
 </li>
 <li>
 Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)
 </li>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)
 </li>
 <li>
 Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)
 </li>
 <li>
 Consulting or client-facing delivery experience
 
 
 </li>
 </ul>
 
 Certifications (Strong Plus)
 
 
 
 Candidates with at least one relevant certification are especially encouraged to apply:
 
 
 <ul>
 <li>
 Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
 </li>
 <li>
 Databricks certifications (Data Scientist, Data Engineer, or related)
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)
 </li>
 <li>
 Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products
 </li>
 <li>
 Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability
 
 
 </li>
 </ul>
 
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 
 Important: Immigration Sponsorship Policy
 
 
 Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
 
 
 <ul>
 <li>
 Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
 </li>
 <li>
 Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
 </li>
 <li>
 Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
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</div>

Machine Learning Engineer / Data Scientist

Capital One

<div>Senior Manager, Software Engineering, Full Stack
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 
What You&rsquo;ll Do:<ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience in software engineering (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li><li>
At least 4 years of people management experience</li></ul> 
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go</li><li>
3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
7+ years of people management experience</li><li>
2+ years of experience in Agile practices</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $250,800 - $286,200 for Sr. Mgr, Software Engineering 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Manager, Software Engineering, Full Stack

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