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application development technology sr. lead analyst, senior vice president Jobs in Jersey City

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data engineer, vice president

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director, quant data engineering

director, site reliability engineering - digital assets Jobs in Jersey City

data engineer vice president

Information Technology Senior Management Forum

<div><div>Posted Date
4/15/2026
</div><div>Description
<div>Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h4 class="jobSectionHeader">
Position Summary:</h4>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h4 class="jobSectionHeader">
Required Qualifications:</h4><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications:</h4><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h4 class="jobSectionHeader">
Core Competencies:</h4><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
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.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
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. 
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 Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Data Engineer, Vice President

Citi

<div><div><div>Job Req Id:</div>
<div>26953080</div>
</div><div><div>Location(s):</div>
<div>Jersey City, New Jersey, United States</div>
</div><div><div>Job Type:</div>
<div>Hybrid</div>
</div><div><div>Posted:</div>
<div>Apr. 15, 2026</div></div></div>
 <div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.<h3 class="jobSectionHeader">
Position Summary:</h3>
The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).</li><li>
ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.</li><li>
Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.</li><li>
SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).</li><li>
NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.</li><li>
Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.</li><li>
Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).</li><li>
Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.</li><li>
Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.</li><li>
Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.</li></ul><h3 class="jobSectionHeader">
Required Qualifications:</h3><ul><li>
6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.</li><li>
Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.</li><li>
Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).</li><li>
Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).</li><li>
Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).</li><li>
Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).</li><li>
Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.</li><li>
Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.</li><li>
Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.</li><li>
Knowledge of data governance practices (metadata, lineage, data quality frameworks).</li><li>
Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).</li></ul><h3 class="jobSectionHeader">
Core Competencies:</h3><ul><li>
Engineering rigor: Writes maintainable, testable code and designs resilient systems.</li><li>
Problem solving: Diagnoses data issues quickly and drives root-cause resolution.</li><li>
Ownership mindset: Takes accountability for production outcomes and operational reliability.</li><li>
Partnership: Collaborates effectively across application, architecture, and business teams.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
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.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Jun 15, 2026
-
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.
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 Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

<div>Vice President, Auditor, Markets and Wealth Services

At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We&rsquo;re seeking a future team member for the role of Vice President, Auditor to join our Markets and Wealth Services Audit team. This role is located in Jersey City, New Jersey, Lake Mary, Florida or New York, New York.

In this role, you&rsquo;ll make an impact in the following ways:
<ul>
<li>Lead or participate in the delivery of complex and challenging global audit assignments, with a primary focus on the Clearing Broker Dealer.</li>
<li>Drive or participate in all phases of audit project execution including planning, fieldwork, and reporting in accordance with audit methodologies.</li>
<li>Perform walkthroughs with process owners; document results in narratives/flowcharts; identify and document risks and controls; develop and execute testing strategy; prepare supporting workpapers; and document test exceptions and conclusions.</li>
<li>Elevate potential audit issues to the Audit Manager and business management as soon as they are identified.</li>
<li>Identify and draft meaningful issues impacting the business under review and challenge management to develop appropriate remedial actions to address the issues identified.</li>
<li>Follow-up on remedial actions to ensure corrective actions have been appropriately implemented and where necessary, test the design, operating effectiveness, and sustainability of implemented actions.</li>
<li>Build strong relationships with key stakeholders in the business and risk management areas and with colleagues throughout the global Internal Audit team.</li>
<li>Engage in and document Continuous Monitoring activities to identify new or changing risk conditions for the covered businesses.</li>
<li>Apply advanced analytical problem-solving skills and assist others in solving complex issues and identifying innovative solutions.</li>
<li>Contribute technical or specialized skill sets or business knowledge not readily available elsewhere in the department to solve audit issues.</li>
<li>Identifies opportunities for the use of AI/automation and actively participate in advancing recommendations for software support requests.</li>
<li>Maintain up-to-date knowledge of the industry, best practice and regulatory requirements.</li>
<li>No direct reports. Demonstrate leadership through work guidance and training of less experienced peers and through advice to assigned clients.</li>
<li>Contribute to the overall achievement of team goals.</li>
<li>Carry out other ad-hoc tasks and projects as directed by audit management.</li>
</ul>
To be successful in this role, candidates should demonstrate the following qualifications and capabilities:
<ul>
<li>Bachelor&rsquo;s degree or an equivalent combination of education and relevant work experience.</li>
<li>Degree in Accounting, Finance, or another discipline requiring strong analytical and critical‑thinking skills.</li>
<li>Certified Internal Auditor (CIA) designation or other risk‑management certifications preferred.</li>
<li>7&ndash;10 years of experience in financial services or banking, specifically within Internal Audit or Risk and Compliance Management.</li>
</ul>
Technical Expertise in Clearing Broker‑Dealer Operations

Candidates must have deep knowledge of clearing broker‑dealer functions and the full trade lifecycle, including:
<ul>
<li>Execution processes: Order routing, trade capture, and execution mechanics across various asset classes.</li>
<li>Clearing operations: Trade comparison, affirmation, matching, and novation; understanding how clearing brokers mitigate counterparty risk and ensure post‑trade data accuracy.</li>
<li>Settlement processes: End‑to‑end settlement cycles (e.g., T+1/T+2), including DVP/FOP, settlement instructions, fails management, and corporate‑action processing.</li>
<li>Custody services: Asset safeguarding, custody controls, segregation requirements, reconciliations, asset servicing, and books‑and‑records responsibilities.</li>
</ul>
Regulatory Knowledge

Strong working knowledge of the regulatory environment governing financial services, including:
<ul>
<li>U.S. securities laws and regulatory structure (e.g., Securities Exchange Act of 1934).</li>
<li>FINRA rules applicable to broker‑dealers, including supervision, margin, customer protection, communications, and reporting.</li>
<li>SEC requirements such as customer asset protection (Rule 15c3‑3), net capital (Rule 15c3‑1), and recordkeeping/reporting obligations.</li>
<li>Regulations specific to clearing activities, including clearing agreements, fully disclosed vs. omnibus arrangements, and responsibilities under FINRA Rule 4311.</li>
<li>SIPC coverage and protections, including how clearing firms safeguard customer assets.</li>
</ul>
Understanding of Financial Market Infrastructure

Knowledge of the broader market ecosystem in which clearing brokers operate, including:
<ul>
<li>Clearing corporations and depositories (e.g., NSCC, DTC) and their interactions with clearing firms.</li>
<li>Trade‑reporting systems such as CAT and TRACE.</li>
<li>Operational‑risk domains, including cybersecurity, business continuity, resiliency, and data‑integrity expectations.</li>
</ul>
Audit‑Relevant Technical Competencies
<ul>
<li>Ability to assess internal controls across clearing operations, custody activities, and trade‑lifecycle processes.</li>
<li>Understanding of technology and systems architecture commonly used by clearing firms, including trade‑processing platforms and reconciliation tools.</li>
<li>Familiarity with operational‑risk areas such as breaks, exceptions, margin calls, liquidity management, and collateral processes.</li>
</ul>
Core Professional Skills
<ul>
<li>Strong written and verbal communication skills, with the ability to influence senior stakeholders.</li>
<li>Solid understanding of risk‑management and control frameworks.</li>
<li>Self‑sufficiency, initiative, and a proactive mindset.</li>
<li>Excellent planning, coordination, organizational, and presentation abilities.</li>
<li>Ability to thrive in a fast‑paced environment and adapt effectively as part of a team.</li>
<li>Proficiency in Excel and other Microsoft applications, including PowerPoint, Word, Visio, and Power BI.</li>
<li>Strong analytical skills, including the ability to interpret and apply analytics results in an audit context, along with critical‑thinking and problem‑solving capabilities</li>
<li>End to End general banking/finance knowledge</li></ul> 
 
At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here&rsquo;s a few of our recent awards:
<ul>
<li>America&rsquo;s Most Innovative Companies, Fortune, 2025</li>
<li>World&rsquo;s Most Admired Companies, Fortune 2025</li>
<li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul> 
 
Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. 
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $68,000 and $160,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</div>

Vice President, Auditor, Markets and Wealth Services

JPMorganChase

<div>JOB DESCRIPTION 
We&rsquo;re proud of our reputation for excellence, integrity and collaboration. Our priorities of governance, transparency and strategic engagement, along with our people-first culture centered around inclusion, teamwork, career progression and continuous learning, have helped us create a coveted workplace where everyone feels like they belong.
As an Audit Manager, Vice President, within the Consumer &amp; Community Banking (CCB) Technology Audit Team, you will develop and execute the annual audit plan, manage audit engagements, oversee and perform audit testing, and participate in applicable control and governance forums.
Job responsibilities<ul><li>
Participate in audit engagements from planning to reporting</li><li>
Partner with colleagues and stakeholders to evaluate, test and report on the design and operating effectiveness of management&rsquo;s controls</li><li>
Communicate audit findings to management and identify opportunities for improvement</li><li>
Create and maintain collaborative working relationships with stakeholders, while providing independent challenge</li><li>
Contribute to a collaborative working environment with team members and peers, supporting a culture that encourages integrity, respect, excellence and innovation</li><li>
Stay up to date with evolving industry and regulatory developments impacting CIB Finance</li><li>
Find ways to drive efficiencies in audit process through automation</li></ul>
Required Qualifications, Capabilities and skills<ul><li>
7+ years of internal or external auditing experience, or relevant business experience</li><li>
Bachelor's degree (or related financial experience) in Accounting, Finance, or related discipline</li><li>
Understanding of internal control concepts with the ability to evaluate and determine the adequacy of control design and operating effectiveness</li></ul>
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&rsquo;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&rsquo; and employees&rsquo; 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 
<div>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div><div> 
 
</div><div>The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team&rsquo;s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent.</div></div>

Tech Audit Manager, Vice President Consumer Banking Technology

First Soft Solutions LLC

<div>
 
 Data Engineer (Financial Services &ndash; Enterprise Data Platform)
 
 
 
 Location: [Onsite / Hybrid / Remote]
 
 
 Employment Type:
 
 Full-Time (W2 Only)
 
 
 
 
 No Corp-to-Corp (C2C)
 
 
 
 
 About The Role
 
 
 
 We are seeking a
 
 Data Engineer
 
 with strong experience in
 
 Oracle and Hadoop ecosystems
 
 to support large-scale
 
 data platforms within a financial services environment
 
 . This role focuses on building and optimizing
 
 high-performance data pipelines
 
 , enabling
 
 data integration, analytics, and regulatory reporting
 
 across enterprise systems.
 
 
 You will work in a
 
 highly regulated environment
 
 , ensuring data solutions meet
 
 security, governance, and compliance standards
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines using Oracle and Hadoop technologies
 </li>
 <li>
 Build and optimize ETL/ELT processes for large-scale structured and unstructured data
 </li>
 <li>
 Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.)
 </li>
 <li>
 Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning
 </li>
 <li>
 Integrate data from multiple sources including transactional systems, data warehouses, and external feeds
 </li>
 <li>
 Ensure data quality, consistency, and governance across platforms
 </li>
 <li>
 Support data migration, transformation, and data modeling activities
 </li>
 <li>
 Collaborate with business and analytics teams to deliver data-driven solutions
 </li>
 <li>
 Ensure compliance with financial regulations, audit requirements, and data security standards
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 5+ years of experience in data engineering / big data development
 </li>
 <li>
 Strong expertise in Oracle (SQL, PL/SQL, performance tuning)
 </li>
 <li>
 Hands-on experience with Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)
 </li>
 <li>
 Experience building ETL/ELT pipelines and data integration workflows
 </li>
 <li>
 Strong knowledge of data modeling and data warehousing concepts
 </li>
 <li>
 Experience working in enterprise environments (financial services preferred)
 </li>
 <li>
 Understanding of data governance, security, and compliance requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP)
 </li>
 <li>
 Experience with data streaming tools (Kafka, Flink)
 </li>
 <li>
 Familiarity with data lake / lakehouse architectures
 </li>
 <li>
 Experience with Informatica, Talend, or similar ETL tools
 </li>
 <li>
 Exposure to regulatory reporting and financial datasets
 
 
 </li>
 </ul>
 
 Interested Candidates
 
 
 
 
 Please Share Your Updated Resume Along With
 
 
 
 <ul>
 <li>
 Full Name
 </li>
 <li>
 Contact Number
 </li>
 <li>
 Email ID
 </li>
 <li>
 Current Location
 </li>
 <li>
 Work Authorization
 </li>
 <li>
 Total Years of Experience
 </li>
 <li>
 Availability to Start
 </li>
 <li>
 Expected Salary
 </li>
 </ul>
</div>

Sr. Data Engineer

Test Engineer

<div><div>Posted Date
4/13/2026
</div><div>Description
<div>Overview of the Role:
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.
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 Enterprise 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.
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.
The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 6+ years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. prefer</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$157 040,00 - $235 560,00 
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.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
abr 17, 2026
-
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. 
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 Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
157.00 Hour
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

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