data analyst

data engineer

data scientist

senior data engineer

data analytics engineer

data architect

Hudson Manpower

<div><p><b>About the Role</b></p><p>
We are seeking a <b>highly skilled Senior Data Architect / Application Engineer</b> to join our team. In this role, you will be responsible for designing, implementing, and maintaining data platforms and application infrastructure. You will play a key role in driving innovative data solutions while ensuring platform reliability, security, and performance.</p><p></p><p><b>
Location:</b> New York City, NY (Hybrid &ndash; 3 days onsite)</p><p><b>
Interview Process:</b> In-person interview required in NYC.</p><p><b>
Work Authorization:</b> Only W2 candidates will be considered. C2C is allowed only if the candidate is a <b>US Citizen or Green Card holder with their own corporation</b>.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Lead <b>architecture and technical design discussions</b> using industry best practices and modern technologies.</li><li>
Support <b>production operations</b> and resolve complex issues within the <b>Credit Risk application platform</b>.</li><li>
Design and implement <b>batch and ad-hoc data pipelines</b> using <b>Medallion Lakehouse architecture</b> on modern cloud platforms, primarily <b>Databricks</b>.</li><li>
Build and maintain <b>data ingestion pipelines</b> from upstream systems into object storage (e.g., S3, ADLS) using formats like <b>Parquet</b>, including partitioning, z-ordering, and schema evolution.</li><li>
Integrate with external <b>XVA / risk engines</b> and develop orchestration logic for long-running computations.</li><li>
Model and optimize <b>risk metrics</b> such as <b>EPE and PFE</b> for efficient querying and analytics.</li><li>
Ensure platform <b>reliability, security, observability, and auditability</b>, including IAM roles, authentication mechanisms, and encryption.</li><li>
Contribute to <b>API design</b> for internal and external consumers, including versioning, documentation, error handling, and SLAs.</li></ul><p><b><br>
Required Qualifications</b></p><p><b>
General</b></p><ul><li><b>
12&ndash;15 years of experience</b> as an application developer or data engineer.</li><li>
Strong <b>communication and collaboration skills</b>.</li><li>
Experience working in <b>Agile environments</b>.</li><li>
Ability to design and document <b>technical architectures and system designs</b>.</li><li>
Proactive and self-driven team player with strong analytical skills.</li></ul><p><b><br>
Technical Skills (Mandatory)</b></p><ul><li><b>
Python (expert level)</b> including <b>PySpark / Spark</b> for data engineering.</li><li><b>
Azure Databricks</b> with experience implementing <b>Medallion Lakehouse Architecture</b>.</li><li>
Strong <b>SQL expertise</b> including joins, unions, stored procedures, and query optimization.</li><li><b>
REST API development</b> using frameworks such as <b>Django, Flask, or FastAPI</b>.</li><li>
Experience with <b>CI/CD pipelines</b> using <b>Git, Jenkins, and Azure DevOps</b>.</li><li>
Experience building <b>data ingestion and transformation pipelines</b>.</li><li>
Cloud platform certification such as <b>AWS Certified Cloud Practitioner</b> or equivalent.</li></ul><p><b><br>
Domain Requirement</b></p><ul><li>
Strong experience in <b>Credit Risk and Counterparty Risk</b> within the <b>financial services or capital markets domain</b>.</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Advanced degree in <b>Finance, Computer Science, or related field</b>.</li><li>
Experience with <b>risk modeling and financial analytics</b>.</li><li>
Knowledge of <b>deployment, operational support, and monitoring tools</b>.</li><li>
Exposure to <b>technical architecture design and system documentation</b>.</li></ul></div>

Senior Data Architect / Application Engineer

Gen II Fund Services

<p></p><div><p><b><i>Data &amp; AI Architect / Lead Data Engineer</i></b></p><br>
<p></p>
<p><b><i>
Who is Gen II?</i></b><br>
<br>
Gen II is a leading fund administration provider focused entirely on serving private capital asset managers and investors with a best-in-class combination of people, process, and technology. Gen II has more than $1 trillion in private fund capital assets under administration.</p>
<p>
With offices in the US and Europe, we&rsquo;re looking for do-ers, problem-solvers, and entrepreneurs like you who want to make an impact in our industry, grow with us, and create a community where everyone thrives.</p>
<p>
Careers mean more at Gen II &ndash; more opportunity, more innovation, and more ideas! You&rsquo;ll have the opportunity to grow in ways that are meaningful to you and work alongside some of the best people in their field. You&rsquo;ll also receive training which will advance your skill set, both technically and personally allowing you to achieve your career aspirations with us. Be part of our community that recognizes achievements, promotes from within, and receive meaningful benefits which focus on your physical, mental and financial well-being.</p>
<p>
www.gen2fund.com</p><br>
<p></p>
<p><b><i>
What&rsquo;s the role?</i></b></p>
<p>
Lead in-house/ partner technical teams to design and build the technical foundation that transforms fragmented fund data into a coherent, scalable, and secure data platform. This hybrid role combines architectural vision with hands-on technical leadership, integrating AI/ML capabilities to deliver the data proposition and associated roadmap.</p>
<p><b><i>
Key Responsibilities</i></b></p>
<h3 class="jobSectionHeader"><b>
Data Architecture &amp; Platform Design &amp; Build</b></h3>
<ul><li>Design and build enterprise data model for fund data across all sources to support the data proposition, leveraging existing solutions where appropriate</li>
<li>Define integration architecture connecting source systems necessary for the data proposition</li>
<li>Create technical roadmap aligned with proposition roadmap &amp; strategy</li>
<li>Evaluate and select technology stack (data warehouse, ETL tools, API gateway, analytics platforms)</li>
<li>Design cloud architecture (Azure preferred) optimized for performance, cost, and scalability</li>
<li>Establish architectural standards, design patterns, and technical documentation</li>
</ul><h3 class="jobSectionHeader"><b>AI/ML Integration &amp; Innovation</b></h3>
<ul><li>Design and build AI/ML integration points leveraging Gen II's existing AI capabilities and solutions</li>
<li>Architect solutions for unstructured data extraction from PDFs, LPA documents, and fund agreements</li>
<li>Develop intelligent data enrichment and validation capabilities using AI/ML models</li>
<li>Explore advanced analytics use cases: predictive modelling, anomaly detection, natural language processing</li>
<li>Partner with Virtusa and other technology vendors on multi-agent AI architecture development</li>
</ul><h3 class="jobSectionHeader"><b>Data Engineering &amp; Pipeline Development</b></h3>
<ul><li>Lead design and development of production data pipelines</li>
<li>Build and maintain data APIs for product consumption with proper versioning and documentation</li>
<li>Implement data transformation layer with business rules engine for calculation and enrichment logic</li>
<li>Optimize pipeline performance and cost efficiency</li>
<li>Establish monitoring, logging, and alerting infrastructure for proactive issue detection</li>
<li>Implement CI/CD practices for automated testing and deployment of data pipelines</li>
</ul><h3 class="jobSectionHeader"><b>Data Governance &amp; Security</b></h3>
<ul><li>Establish data governance framework including lineage, metadata management, and quality standards</li>
<li>Design security and access control framework ensuring data privacy and compliance (GDPR, SOC 2)</li>
<li>Define data retention, archival, and disaster recovery policies</li>
<li>Ensure compliance with regulatory requirements and industry best practices</li>
<li>Collaborate with Data Quality Lead on monitoring and validation frameworks</li>
</ul><h3 class="jobSectionHeader"><b>Team Leadership &amp; Collaboration</b></h3>
<ul><li>Lead in house / partner team of data engineers on technical excellence and best practices</li>
<li>Collaborate with Data Product Manager on feature requirements and technical feasibility</li>
<li>Partner with Gen II's existing technology team and external vendors (Virtusa) on implementation</li>
<li>Participate in agile ceremonies and provide technical guidance to cross-functional teams</li>
<li>Foster engineering culture emphasizing code quality, automation, and continuous learning</li></ul><br>
<p></p>
<p><b><i>
Required Qualifications</i></b></p>
<h3 class="jobSectionHeader"><b>
Experience</b></h3>
<ul><li>8+ years data architecture and engineering experience in financial services</li>
<li>Bachelor&rsquo;s Degree in Computer Science, Software Engineering or related filed.</li>
<li>Proven experience designing and implementing enterprise data platforms from scratch</li>
<li>Strong background in fund administration, asset management, or alternative investments data</li>
<li>Hands-on experience with modern data platforms (Snowflake, Databricks, Azure Synapse)</li>
<li>Experience leading technical teams and working with partners</li>
</ul><h3 class="jobSectionHeader"><b>Technical Skills</b></h3>
<ul><li>Expert-level SQL and strong programming skills in Python (required), with knowledge of Scala/Java (preferred)</li>
<li>Deep expertise in data modelling: dimensional modelling, data vault, graph databases</li>
<li>Hands-on with data orchestration tools and transformation frameworks</li>
<li>Strong API design experience and microservices architecture</li>
<li>Cloud platform expertise, particularly Azure</li>
<li>Experience with AI/ML frameworks and integration (LLMs, document processing, predictive models)</li>
<li>DevOps practices</li>
</ul><h3 class="jobSectionHeader"><b>Domain Knowledge</b></h3>
<ul><li>Deep understanding of fund administration data flows: NAV, capital calls, distributions, waterfall calculations</li>
<li>Familiarity with fund accounting systems and their data structures</li>
<li>Knowledge of regulatory reporting requirements and data governance in financial services</li>
<li>Understanding of private equity fund structures, investment strategies, and performance metrics</li>
</ul><h2 class="jobSectionHeader"><b>Success Metrics (12-Month Targets)</b></h2>
<ul><li>Data proposition launched and active with clients</li>
<li>Production data platform operational with documented architecture and design patterns</li>
<li>AI/ML capabilities integrated: document processing, predictive analytics for 2+ use cases</li>
<li>Data governance framework implemented with automated quality monitoring</li>
<li>Team in place and operating successfully</li></ul><br>
<p></p>
<p><i>
The salary range for this position is $220,000 - $260,000, in addition to a discretionary bonus and comprehensive benefits package. Please note that the actual salary offered within that range will depend on the candidate&rsquo;s experience level.</i></p><p><br>
<b>
Work Arrangement</b><br>
<br>
All applicants applying to Gen II Fund Services, LLC must be legally authorized to work in the United States. Please note that all US employees are required to work a hybrid schedule, comprised of three (3) days a week in our office and two (2) days remotely.</p><p><br>
https://gen2fund.com/candidate-privacy-statement/</p></div><p></p>

Data & AI Architect / Lead Data Engineer

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
Job Overview<br>
This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.<p></p><b>
Job Responsibilities</b>:<ul><li>
Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
</li><li>Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
</li><li>Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
</li><li>Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
</li><li>Mentor team members to build and enhance their data engineering skillsets and professional growth
</li><li>Assist management in project definition, including estimating, planning, and scoping work to meet objectives
</li><li>Also responsible for other duties/projects as assigned by business management as needed
</li></ul><br>
<b>Education and Work Experience</b>:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
</li><li>Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
</li><li>4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)</li><li>
4-7 years Hands-on development using and migrating data to cloud platforms (Required)</li><li>
4-7 years Experience in SQL, NoSQL, and/or relational database design and development (Required)</li><li>
4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)</li></ul><br>
<b>
Knowledge, Skills and Abilities</b>:<br>
<b>
Licenses and Certifications</b>:<ul><li>
Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)
</li></ul><p></p><ul><li>At least 18 years of age</li><li>
Legally authorized to work in the United States</li></ul><br>
<b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
<br>
<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No<br>
<p></p>
Base Pay Range: $105,100 - $189,600<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
<br>
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
<br>
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Data Engineer (AdTech)

<div>
 Are you passionate about transforming data into actionable insights? We&rsquo;re seeking a talented Data Engineer to craft, evaluate, and maintain innovative data architectures and solutions. In this pivotal role, you'll develop and execute strategies that safeguard, optimize, and unlock the full potential of our organization&rsquo;s data assets. If you're ready to make a significant impact through cutting-edge data engineering, we want to hear from you!
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, plan, and execute data collection studies, working closely with research and product teams to gather high-quality biosensor data.
  </li>
  <li>
   Monitor and maintain the quality and integrity of large datasets, implementing robust data validation, cleaning, and quality custom/specialized monitoring processes for multiple sensor streams (IMU, EMG, optical sensors, etc).
  </li>
  <li>
   Debug and troubleshoot firmware and software issues related to data collection, ensuring reliable data acquisition from hardware sensors.
  </li>
  <li>
   Execute, debug, and optimize distributed compute workflows for metric computation and analysis across large datasets.
  </li>
  <li>
   Build, modify, and maintain custom/specialized benchmarking tools, frameworks, and flows for evaluating and comparing model performance on large datasets.
  </li>
  <li>
   Generate and test hypotheses and analyze and interpret the results of data collection experiments.
  </li>
  <li>
   Leverage data visualization to help the team make decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with hardware sensors, data collection infrastructure, and data analysis of real-world human data.
  </li>
  <li>
   Experience with signal processing of time domain signals and/or medical imaging systems.
  </li>
  <li>
   Experience working with and managing large, high-dimensional datasets.
  </li>
  <li>
   2+ years of experience performing data extraction, manipulation, and visualization using Python and SQL.
  </li>
  <li>
   Strong debugging skills, particularly related to data acquisition and firmware/software interfaces.
  </li>
  <li>
   Experience with JavaScript/Typescript for front-end UI development.
  </li>
  <li>
   Experience with scientific computing and analysis packages such as NumPy, SciPy, and Pandas.
  </li>
  <li>
   Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, and ggplot2.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education/Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   401(k).
  </li>
  <li>
   Dental Insurance.
  </li>
  <li>
   Health insurance.
  </li>
  <li>
   Vision insurance.
  </li>
  <li>
   We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
  </li>
  <li>
   The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Participate in OP monthly team meetings and participate in team-building efforts.
  </li>
  <li>
   Contribute to OP technical discussions, peer reviews, etc.
  </li>
  <li>
   Contribute content and collaborate via the OP-Wiki/Knowledge Base.
  </li>
  <li>
   Provide status reports to OP Account Management as requested.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we&rsquo;ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
</div>


Data Engineer (Biosensor)

Realign

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div>Role: Java Full Stack Developer/Architect</div><div>
Location: New York, NY / Irving, TX / Edison, NJ</div><div>
FTE</div><div></div><div><br>
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div><br>
Roles &amp; Responsibilities</div><div></div><div><br>
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div><br>
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div><br>
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div></div><div><br>
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div><br>
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul><p>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools</p><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p></div>

Java Full Stack Developer/Architect-6

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> <b>Java Fullstack Engineer</b><br>
<b>Location &ndash; New York (Onsite)</b><br>
<b>Fulltime</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div><br>
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div><br>
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div>
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div><br>
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul><p>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools</p><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p></div>

Java Fullstack Engineer-6

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Hadoop PySpark, Python, Apache Kafka</b></div><div><b>
Location: Charlotte, NC / New York, NY/ Dallas, TX / Jersey City, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Primary Skill: Hadoop ecosystem (HDFS, Hive, Spark), PySpark, Python, Apache Kafka</b></div><div><b>
Secondary: UI &ndash; Angular.</b></div><div><b>
Experience: Minimum 9 years</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div></div><div><b><br>
Architectural Leadership:</b></div><div>
? Define end-to-end architecture for data platforms, streaming systems, and web applications.</div><div>
? Ensure alignment with enterprise standards, security, and compliance requirements.</div><div>
? Evaluate emerging technologies and recommend adoption strategies.</div><div></div><div><b><br>
Data Engineering :</b></div><div>
? Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools.</div><div>
? Optimize ETL workflows for large-scale datasets and real-time streaming.</div><div>
? Integrate Apache Kafka for event-driven architectures and messaging.</div><div></div><div><b><br>
Application Development :</b></div><div>
? Build and maintain backend services using Python and microservices architecture.</div><div>
? Develop responsive, dynamic front-end applications using Angular.</div><div>
? Implement RESTful APIs and ensure seamless integration between components.</div><div></div><div><b><br>
Collaboration &amp; Leadership:</b></div><div>
? Work closely with product owners, business analysts, and DevOps teams.</div><div>
? Mentor junior developers and data engineers.</div><div>
? Participate in agile ceremonies, code reviews, and design discussions.</div><div></div><div><b><br>
Required Skills &amp; Qualifications:</b></div><div></div><div><b><br>
Technical Expertise:</b></div><div>
? Strong experience with Hadoop ecosystem (HDFS, Hive, Spark).</div><div>
? Proficiency in PySpark for distributed data processing.</div><div>
? Advanced programming skills in Python.</div><div>
? Hands-on experience with Apache Kafka for real-time streaming.</div><div>
? Frontend development using Angular (TypeScript, HTML, CSS).</div><div></div><div><b><br>
Architectural Skills:</b></div><div>
? Expertise in designing scalable, secure, and high-performance systems.</div><div>
? Familiarity with microservices, API design, and cloud-native architectures.</div><div></div><div><b><br>
Additional Skills:</b></div><div>
? Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes).</div><div>
? Exposure to cloud platforms (AWS, Azure, GCP).</div><div></div><div><b><br>
Education:</b></div><div>
? Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</div><div></div><div><b><br>
Experience:</b></div><div>
? 9+ years in software development, with at least 4 + years in architecture and Big Data technologies.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
? BFSI domain experience or large-scale enterprise systems.</div><div>
? Understanding of data governance, security, and compliance standards.</div><div></div><div><b><br>
Soft Skills:</b></div><div>
? Strong analytical and problem-solving abilities.</div><div>
? Excellent communication and leadership skills.</div><p>
? Ability to thrive in a fast-paced, agile environment.</p><p></p>
<p>Required Skills</p>
<p>DATA / PYTHON ENGINEER</p> <p>PYTHON / DEVOPS ENGINEER</p></div>

Hadoop PySpark, Python, Apache Kafka-6

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