data engineer

data scientist (full-time) Jobs in Jersey City

data scientist (full-time)

databricks data engineer Jobs in Jersey City

databricks data engineer

entry level data scientist/ junior java developer Jobs in Jersey City

genomic data scientist Jobs in Jersey City

genomic data scientist

data scientist full time

MAES Solutions

<div>
 <p>
  <strong>
   Maes Solutions
  </strong>
  is actively recruiting experienced
  <strong>
   Senior Data Scientists
  </strong>
  for
  <strong>
   full-time
  </strong>
  roles with direct clients, emphasizing
  <strong>
   direct hires only
  </strong>
  with no C2C or agencies. The positions target professionals with
  <strong>
   8+ years in ML and analytics
  </strong>
  , aligning with high demand for cloud-savvy data experts.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Senior Data Scientist (Full-Time)
  </strong>
 </p>
 <p>
  <strong>
   Experience: 8+ years
  </strong>
 </p>
 <p>
  <strong>
   Type: Full-time (Direct hire only)
  </strong>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Looking for a Senior Data Scientist with strong expertise in Machine Learning, Advanced Analytics, and Predictive Modeling to build scalable data-driven solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  &bull; Develop/deploy ML models and advanced analytics for predictive insights.
 </p>
 <p>
  &bull; Analyze large datasets (structured/unstructured) to drive business decisions.
 </p>
 <p>
  &bull; Build end-to-end pipelines: feature engineering, model training/evaluation, ETL.
 </p>
 <p>
  &bull; Collaborate with data engineers, product teams, stakeholders on cloud-based solutions.
 </p>
 <p>
  &bull; Implement scalable ML in distributed environments (AWS/Azure/GCP, Spark/Hadoop).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills:
  </strong>
 </p>
 <p>
  &bull; ML Frameworks: Scikit-learn, TensorFlow, PyTorch
 </p>
 <p>
  &bull; Languages/Tools: Python, SQL, R, Pandas, NumPy
 </p>
 <p>
  &bull; Big Data: Spark, Hadoop
 </p>
 <p>
  &bull; Cloud: AWS, Azure, GCP
 </p>
 <p>
  &bull; Analytics: Statistical modeling, A/B testing, data visualization (Tableau/Power BI)
 </p>
 <p>
  &bull; Production: Model deployment, data pipelines
 </p>
 <p>
  <br/>
 </p>
 <p>
  📞 Contact me directly at 201-979-3980 or forward your updated resume to sri@maessolutions.com.
 </p>
</div>


Data Scientist (Full-Time)

Character Biosciences

<div>
 <strong>
  About Character Biosciences
  <br/>
  <br/>
 </strong>
 Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. Our patient data platform integrates genomics with deep, longitudinal clinical and imaging data, enabling us to uncover genetic drivers of disease progression, advance novel therapeutics, and define patient stratification strategies that improve clinical success.
 <br/>
 <br/>
 Our interdisciplinary team spans human genetics, clinical science, data science and engineering, and drug discovery and development. We are advancing two programs for Dry Age-related Macular Degeneration (AMD) into the clinic, with additional discovery-stage programs underway.
 <br/>
 <br/>
 Founded in 2018, Character has raised capital from leading investors at the intersection of healthcare and technology, including an oversubscribed $110+ million Series B in 2025 co-led by aMoon and Luma Group, with participation from Bausch + Lomb, Innovation Endeavors, Sanofi Ventures, Catalio Capital Management, S32, KdT Ventures, and Jefferson Life Sciences. We also maintain a multi-target drug discovery collaboration with Bausch + Lomb to develop
 <br/>
 <br/>
 innovative precision medicines for AMD.
 <br/>
 <br/>
 <strong>
  <strong>
   Role
  </strong>
 </strong>
 : Genomic Data Scientist
 <br/>
 <br/>
 <strong>
  <strong>
   Reports to:
  </strong>
 </strong>
 Human Genetics Lead
 <br/>
 <br/>
 <strong>
  <strong>
   Department:
  </strong>
 </strong>
 Data &amp; Analytics
 <br/>
 <br/>
 <strong>
  <strong>
   Level:
  </strong>
 </strong>
 Scientist I/II
 <br/>
 <br/>
 <strong>
  <strong>
   Location
  </strong>
 </strong>
 : Brisbane, CA or Jersey City, NJ
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 As a member within our Data Science &amp; Analytics team, you will serve as the primary architect of inquiry, interrogating complex multimodal genomic and biomedical datasets to frame the "killer questions" that drive both therapeutic breakthroughs and business value. Reporting to the Human Genetics Lead, you will lead high-impact initiatives that transform high-dimensional patient data into novel scientific insights and actionable discovery strategies. You will provide executive-level input to our genetics and bioinformatics roadmap while orchestrating cross-functional collaboration between clinical, engineering, and drug discovery teams to ensure our data-driven hypotheses translate directly into clinical reality and competitive advantage.
 <br/>
 <br/>
 This role is hybrid and can be based in either South San Francisco or Jersey City.
 <br/>
 <br/>
 <em>
  <strong>
   <strong>
    This is a preferred hybrid role based at our Jersey City, NJ or Brisbane, CA office.
    <br/>
    <br/>
   </strong>
  </strong>
 </em>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced Target Discovery &amp; Validation: Accelerate the therapeutic pipeline by integrating cutting-edge analytical frameworks tailored to our unique patient cohorts. You will lead the expansion of in silico target validation tools, empowering bench scientists to make high-confidence, data-driven decisions on target prioritization.
  </li>
  <li>
   Novel Insight Generation: Architect and execute creative analytical strategies to "excavate" deep biological insights from our proprietary data platform. You will move beyond single-variant analysis to uncover higher-level downstream signals, such as gene-set enrichment and pathway-level interactions, that drive business and scientific value.
  </li>
  <li>
   Multimodal Ecosystem Architecture: Implement and support a sophisticated scientific computing environment that seamlessly bridges genomic, clinical, and imaging data. Your goal is to create a unified, "frictionless" data experience that integrates complex pipelines into a cohesive discovery engine.
  </li>
  <li>
   User-Centric Scientific Reporting: Develop and deploy intuitive, user-friendly reporting platforms that translate high-dimensional data into accessible insights, ensuring that complex multimodal findings are interpretable and actionable for stakeholders across the organization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education: Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, or a related quantitative field with a deep focus on human disease genetics/genomics.
  </li>
  <li>
   Industry Experience: 0&ndash;2 years of post-PhD industry experience in genomic data analysis.
  </li>
  <li>
   Biological Synthesis: Hands-on expertise in gene-set and pathway analysis, with a proven ability to "connect the dots" across genomic datasets.
  </li>
  <li>
   Multimodal Integration: A track record of integrating disparate data streams&mdash;including WGS/WES, single-cell RNA-seq, proteomics, and EHR data&mdash;to construct holistic biological models.
  </li>
  <li>
   Strategic Problem-Solving: Demonstrated ability to deconstruct ambiguous business or scientific challenges into structured, testable hypotheses.
  </li>
  <li>
   Collaborative Leadership: Exceptional communication skills and a "founder&rsquo;s mindset," with the ability to translate "deep-tech" findings into actionable "so-what" insights for executive and clinical leadership.
  </li>
  <li>
   Scientific Excellence: A strong record of innovation evidenced by high-impact peer-reviewed publications or patents.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Therapeutic Expertise: Specialized knowledge or experience in Ophthalmology.
  </li>
  <li>
   Data Versatility: Direct experience working with Real-World Data (RWD) and large-scale proprietary Genomic datasets.
  </li>
  <li>
   Machine Learning Proficiency: Practical experience applying advanced frameworks (e.g., Graph Neural Networks, Transformer architectures) to biological sequences or longitudinal clinical data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 The annual pay range for this full-time position is $130,000-$175,000 + equity + benefits
 <br/>
 <br/>
 This salary range represents the expected base compensation for this role and may vary based on factors including experience, skills, and level.
 <br/>
 <br/>
 Benefits include a competitive salary, strong equity incentives, medical, dental, vision, 401(k), an accrued paid time off policy. Character is committed to recruiting, developing, and supporting colleagues from all backgrounds. We embrace diversity, equity, and inclusion as an integral part of our culture.
 <br/>
 <br/>
 <strong>
  <strong>
   EEO Statement
   <br/>
   <br/>
  </strong>
 </strong>
 Character Biosciences is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.
 <br/>
 <br/>
 <strong>
  <strong>
   Work Authorization
   <br/>
   <br/>
  </strong>
 </strong>
 Applicants must be authorized to work in the United States.
</div>


Genomic Data Scientist

SynergisticIT

<div>
 <p>
  <strong>
   "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
  <strong>
   job-ready on paper
  </strong>
  , sound
  <strong>
   confident in interviews
  </strong>
  , and demonstrate
  <strong>
   hands-on ability
  </strong>
  in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
  <strong>
   interviews and offers
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Since
  <strong>
   2010
  </strong>
  , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
  <strong>
   Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
  </strong>
  , and many more&mdash;often in the
  <strong>
   $95k to $154k
  </strong>
  offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
  <strong>
   close the gap between what you know and what employers expect you to prove
  </strong>
  .
 </p>
 <p>
  Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What roles are in demand right now?
  </strong>
 </p>
 <p>
  A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
  <strong>
   entry-level software programmer
  </strong>
  ,
  <strong>
   Java full stack developer
  </strong>
  ,
  <strong>
   Python/Java developer
  </strong>
  ,
  <strong>
   data analyst
  </strong>
  ,
  <strong>
   data engineer
  </strong>
  ,
  <strong>
   data scientist
  </strong>
  , and
  <strong>
   machine learning/AI engineer
  </strong>
  . In other words, SynergisticIT focuses on building candidates across
  <strong>
   Java / Full Stack / DevOps
  </strong>
  and
  <strong>
   Data Analytics / Data Engineering / Data Science / ML/AI
  </strong>
  based on what employers repeatedly request.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who benefits most from this model?
  </strong>
 </p>
 <p>
  If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 </p>
 <ul>
  <li>
   You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
  </li>
  <li>
   You know tools, but you can&rsquo;t explain them confidently in interviews
  </li>
  <li>
   You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
  </li>
  <li>
   You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    What Recruiters Look for in Junior Developers | SynergisticIT
   </strong>
  </li>
  <li>
   <strong>
    Software engineering or Data Science as a career?
   </strong>
  </li>
  <li>
   <strong>
    How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  SynergisticIT works especially well for candidates such as: recent grads in
  <strong>
   CS/Engineering/Math/Stats
  </strong>
  , jobseekers who were
  <strong>
   laid off
  </strong>
  and need an updated stack, career switchers who want a guided plan, candidates with
  <strong>
   career gaps
  </strong>
  , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
  <strong>
   F1/OPT
  </strong>
  needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
  <strong>
   STEM extension
  </strong>
  and provides process support for
  <strong>
   H-1B and Green Card filing
  </strong>
  once employed (as applicable through employers and standard processes).
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you want to explore, here are the key links:
 </p>
 <ul>
  <li>
   <strong>
    Event videos (OCW, JavaOne, Gartner):
   </strong>
  </li>
  <li>
   <strong>
    USA Today feature
   </strong>
  </li>
  <li>
   <strong>
    Contact Us:
   </strong>
   https://www.synergisticit.com/contact-us/
  </li>
 </ul>
 <p>
  You don&rsquo;t need more random applications. You need a job-ready plan.
  <strong>
   Start smarter&mdash;start with the right support.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    <u>
     Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
    </u>
   </em>
  </strong>
 </p>
 <p>
 </p>
</div>


entry level data scientist/ Junior java developer

Realign

<div>Jersey City, New Jersey 07030 Posted March 13th, 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: Hadoop Developer</b></div><div><b>
Location: Jersey City, New Jersey_onsite</b></div><div><b>
Employment Type: Full-Time</b></div><div></div><div><b><br>
Job Summary</b></div><div></div><div><br>
We are seeking a skilled Hadoop Developer to join our data engineering team. The ideal candidate will design, develop, and maintain scalable big data solutions using the Hadoop ecosystem. You will work closely with data engineers, analysts, and business stakeholders to process large datasets and build reliable data pipelines that support analytics and business intelligence.</div><div></div><div><b><br>
Key Responsibilities</b></div><ul><li> Design, develop, and maintain big data applications using the Hadoop ecosystem.</li><li> Build and optimize data pipelines for ingesting, transforming, and processing large-scale datasets.</li><li> Develop solutions using tools such as Hive, Spark, MapReduce, HDFS, and Kafka.</li><li> Write efficient SQL queries and scripts for data extraction, transformation, and loading (ETL).</li><li> Collaborate with data scientists, analysts, and engineering teams to deliver data-driven solutions.</li><li> Monitor and troubleshoot data processing workflows and cluster performance.</li><li> Ensure data quality, governance, and security best practices.</li><li> Optimize Hadoop jobs for performance and scalability.</li><li> Document technical designs, workflows, and development processes.</li></ul><div></div><div><b><br>
Key Skills</b></div><ul><li> Hadoop Ecosystem</li><li> Apache Spark</li><li> Hive &amp; HDFS</li><li> Kafka</li><li> Python / Java / Scala</li><li> ETL &amp; Data Pipelines</li><li> SQL &amp; Data Warehousing</li><li> Linux / Shell Scripting</li></ul><div></div><div><b><br>
Required Qualifications</b></div><ul><li> 6+ years of experience in Hadoop or big data development.</li><li> Strong experience with Hadoop ecosystem tools (HDFS, Hive, Spark, MapReduce, Sqoop, Kafka).</li><li> Proficiency in Python, Java, or Scala.</li><li> Experience with ETL tools and data pipeline development.</li><li> Strong knowledge of SQL and data warehousing concepts.</li><li> Familiarity with Linux/Unix environments.</li><li> Experience with distributed data processing and big data architecture.</li><li> Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li> Familiarity with workflow orchestration tools (Airflow, Oozie).</li><li> Knowledge of data lakes, data governance, and data security practices.</li><li> Experience in financial services or large enterprise environments.</li></ul><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

Hadoop Developer

<div>Jersey City, New Jersey 07030 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

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/10/2026</p>
</div><div><p>Description</p>
<div><p>We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally.</p><p><b>
Responsibilities</b></p><ul><li>
Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.</li><li>
Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.</li><li>
Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.</li><li>
Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.</li><li>
End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.</li><li>
Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.</li><li>
Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.</li><li>
Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.</li></ul><p><b>
Required Qualifications</b></p><ul><li><b>
Experience: </b>5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.</li><li><b>
Programming Skills:</b> Strong object-oriented programming skills with expert-level proficiency in Python.</li><li><b>
AI/ML Expertise:</b> Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.</li><li><b>
Application Development: </b>Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.</li><li><b>
DevOps Knowledge:</b> Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.</li><li><b>
Architectural Understanding:</b> Solid understanding of modern software development practices, including microservices architecture and API design principles.</li><li><b>
Data Proficiency:</b> Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.</li><li><b>
Problem-Solving:</b> Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.</li></ul><p><b>
Education:</b></p><p>
Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience</p><p><b>
Desired Skills
</b></p><ul><li>Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant).</li><li>
Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments.</li><li>
Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning.</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Jersey City New Jersey United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$142,320.00 - $213,480.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 16, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>
</div><div><p>Salary</p><p>
142,320.00 - 213,480.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Machine Learning Engineer Vice President

Citi

<div><p><b>About Citi:</b></p><p>
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.</p><p></p><p><br>
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients&rsquo; best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Operations &amp; Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.</p><p></p><p><br>
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We&rsquo;ll enable growth and progress together.</p><p></p><p><b>
The Role:</b></p><p>
This senior developer role is ideal for a seasoned technologist with deep expertise in building enterprise-level Java applications and scalable data platforms. The position involves designing and implementing data pipelines and APIs within the financial sector, requiring a strong blend of software engineering, big data knowledge, and architectural leadership. The successful candidate will guide technical standards and mentor other developers while driving the delivery of complex data-centric projects.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Design, build, and maintain robust, scalable data pipelines and APIs to support analytics, quants, and product development teams.</li><li>
Drive the design, simplification, and modernization efforts for individual system components, contributing to overall architectural improvements.</li><li>
Lead application systems analysis and programming activities, establishing and implementing new or revised systems.</li><li>
Take ownership of technical frameworks and platforms, ensuring that common solutions and strategic architecture are consistently implemented across the organization.</li><li>
Ensure application design adheres to the overall architecture blueprint and develop standards for coding, testing, debugging, and implementation.</li><li>
Leverage expertise in Java-based frameworks, including Spring Boot, Spring MVC, Hibernate, and other relevant Spring projects, to develop robust solutions.</li><li>
Engage in Big Data development initiatives, utilizing technologies such as PySpark, Hive, HDFS, Impala, Presto/Trino/Starburst, Kerberos Authentication, and S3 Object Storage.</li><li>
Perform comprehensive data analysis to identify and address data discrepancies or gaps within production datasets.</li><li>
Demonstrate proficiency in deploying applications across both Virtual Machine (VM) and containerized environments.</li><li>
Actively contribute to daily scrum discussions, ensuring a clear understanding of assigned tasks and stories, and committing to their timely delivery.</li><li>
Serve as a technical advisor and coach to mid-level developers and analysts, providing guidance and allocating work as necessary.</li><li>
Partner with multiple management teams and stakeholders to ensure the appropriate integration of functions and define system enhancements for new products and process improvements.</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Minimum of 6+ years' hands-on software development experience with at least 5 years' hands-on experience in backend development using Java (17+ preferred).</li><li>
Extensive experience with the Spring ecosystem, including Spring Boot, Spring MVC, and Hibernate.</li><li>
Hands-on experience with Big Data technologies such as PySpark, Hive, HDFS, Impala, and Presto/Trino is <b>highly preferred</b></li><li>
Solid understanding of object-oriented programming (OOP) principles, data structures, and software design patterns.</li><li>
Demonstrated experience designing and building RESTful APIs and microservices.</li><li>
Proficiency with both relational databases (e.g., PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB).</li><li>
Experience with message brokers like Apache Kafka for building asynchronous, event-driven systems.</li><li>
Familiarity with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.</li><li>
Expert experience in Linux environments.</li><li>
Strong understanding of software development best practices, including automated testing, security, and performance tuning.</li><li>
Demonstrated leadership, project management, and mentoring skills.</li><li>
Previous experience in a lead or senior developer role with mentoring responsibilities is highly desired.</li><li>
Excellent problem-solving, analytical, and communication skills, with the ability to adjust priorities as circumstances dictate.</li><li>
Experience developing in Python and with cloud platforms (e.g., AWS, GCP) is desired.</li><li>
Prior work experience in Capital Markets trade processing is a significant plus.</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in a relevant field is required; a Master&rsquo;s degree is preferred.</li></ul><p></p><p>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
Jersey City New Jersey United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p>
$142,320.00 - $213,480.00<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Mar 19, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Senior Java Developer - Big Data Platform

Explore 97+ Data scientist full time in Jersey City this March. Find roles across top companies and apply now to boost your career.