software engineer

data engineer

senior data engineer

senior data analyst

data engineer- infrastructure Jobs in New York

data engineer- infrastructure

senior database engineer

The Museum of Modern Art

<div><p>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
<p><b>Reports to:</b> Director of Engineering</p>
<p><b>
Salary Range:</b> Minimum of $140,000 to a maximum of $160,000 per annum</p>
<p><b>
Application instructions: </b>To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.</p>
<p><i>
Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).</i></p><p>
Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

Senior Data Engineer

Incedo Inc.

<div>
 <p>
  Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We
 </p>
 <p>
  are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business
 </p>
 <p>
  and technology across Banking &amp; Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
 </p>
 <p>
  We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,
 </p>
 <p>
  and long-term impact.
 </p>
 <p>
  Incedo delivers ROI from AI @ Scale through the &ldquo;Power of 3&rdquo;:
 </p>
 <p>
  &bull; Deep domain expertise
 </p>
 <p>
  &bull; AI &amp; Data capabilities
 </p>
 <p>
  &bull; Engineering &amp; Operations excellence
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title: Sr.Data Engineer&ndash; AWS &amp; Streaming
  </strong>
 </p>
 <p>
  <strong>
   Location
  </strong>
  : Fort Mill, SC or New York City, NY (Hybrid)
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role Summary:
 </p>
 <p>
  We are seeking a Mid&ndash;Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python
  </li>
  <li>
   Build event-driven workflows using AWS Lambda
  </li>
  <li>
   Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink
  </li>
  <li>
   Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation
  </li>
  <li>
   Optimize data processing performance, scalability, reliability, and cost in cloud environments
  </li>
  <li>
   Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong hands-on experience with Python and PySpark
  </li>
  <li>
   Proven expertise in AWS Glue, Lambda, and other cloud-native data services
  </li>
  <li>
   Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns)
  </li>
  <li>
   Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection)
  </li>
  <li>
   Strong understanding of distributed data processing and scalable architecture patterns
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Good-to-Have Skills:
  </strong>
 </p>
 <ul>
  <li>
   Experience with Apache Flink for real-time stream processing and stateful computations
  </li>
  <li>
   Knowledge of KSQL or other streaming SQL engines
  </li>
  <li>
   Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices
  </li>
  <li>
   Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi
  </li>
  <li>
   Experience working in enterprise or financial data environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader"><b>WeightWatchers is a global digital health company.</b></h3>
<p>
WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.</p>
<p>
As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing <b>new clinical pathways for GLP-1 medication access</b>, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</p></div><p>
We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.</p>
<p>
We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li><b>Data Enablement:</b> Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li><b>Pipeline Architecture:</b> Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li><b>Cross-Functional Collaboration:</b> Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li><b>Data Modeling:</b> Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li><b>End-to-End Ownership:</b> Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li><b>Operational Excellence:</b> Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li><b>Technical Leadership:</b> Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3>
<ul><li><b>Experience:</b> 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li><b>Snowflake Expertise:</b> Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li><b>Technical Mastery:</b></li>
<li><ul><li><b>Advanced Software Engineering (Python):</b> Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li><b>Data Modeling &amp; SQL Mastery:</b> Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li><b>Infrastructure &amp; Automation:</b> Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li><b>Workflow Orchestration:</b> Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li><b>Observability &amp; Reliability:</b> Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li><b>Operational Maturity:</b> Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li><b>Education:</b> BS/MS in Computer Science, Information Systems, or a related technical field.</li></ul><p></p><div><p><br>
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.</p>
<p><i>
It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.</i></p>
<p><i>
By agreeing to participate in our process, you agree that any information we collect is subject to our </i><i>Privacy Policy</i><i>.</i></p><br>
<p></p>
<div>
<div>Maryland</div>
<b>Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</b></div>
<div></div>
<div>Massachusetts</div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div><br>
<div>
<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
<div></div>
</div><h3 class="jobSectionHeader"><b>RECRUITMENT SECURITY &amp; FRAUD PREVENTION</b></h3>
<p>
At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:</p>
<ul>
<li><b>Verified Email Domain:</b> All official correspondence from our recruiting team will originate from an <b>@ww.com</b> email address.</li>
<li><b>Live Engagement:</b> Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li><b>Financial Integrity:</b> WeightWatchers will <b>never</b> ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li><b>Secure Data Collection:</b> Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
<p><b>Stay Vigilant:</b> If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</p></div></div><p></p>

Vistar Media

<div><p>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.</p><p>
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.</p><p></p><p><i>
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.</i></p><p>
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
<br>
<br>
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together.<br>
<br>
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.</p><p></p><ul><li><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</p></li><li><p>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</p></li><li><p>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</p></li><li><p>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</p></li><li><p>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</p></li><li><p>
Also responsible for other duties/projects as assigned by business management as needed</p></li></ul><p><b><br>
Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</p></li><li><p>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</p></li><li><p>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</p></li><li><p>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</p></li><li><p>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</p></li><li><p>
Familiarity with DevOps practices and tools for DataOps.</p></li><li><p>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</p></li><li><p>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</p></li></ul></li></ul><p></p><p>
Base Pay Range: $105,100 - $189,600</p><div></div><p><br>
Corporate Bonus Target: 15%</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><div></div><p><br>
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, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1</p><p>
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</p></div>

Senior Data Engineer, Big Data and Cloud

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>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.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

KeyBank

<div><p><b>Location:</b></p>
1301 Avenue of the Americas, New York New York<p></p><b>
Job Summary</b><br>
The Associate, Equity Research is a part of the KeyBanc Capital Markets (KBCM) team and works closely with senior research professionals to assist in preparing and executing analyses of an assigned industry group, individual companies, and their securities.
<br>
<br>
<b>Essential Functions</b><ul><li>
Collecting, evaluating, and applying statistical and financial data on the economy and financial markets, specifically with respect to researching common stocks within specific industries.</li><li>
Analyzing and synthesizing researched data and presentation of trends and ideas with regard to business opportunities and investment decision making processes.</li><li>
Formulating and issuing opinions and recommendations on securities and companies in one or more industry groups.</li><li>
Preparing reports, opinions, recommendations, and statistical data, including assisting in financial statement modeling, for use in the formulation of the investment policies and/or recommendations of the firm.</li><li>
Answering inquiries from firm personnel regarding individual securities or industry groups. Prepares studies and other data for firm publication issued to the general public.</li><li>
Preparing and disseminating special studies, models, forecasts, and/or presentations to furnish information to the Syndicate or Investment Banking groups on security offerings and underwriting.</li><li>
Interviewing company executives or industry leaders to develop and maintain sources of information in preparation of analyses.</li><li>
Maintaining company databases using spreadsheets and database software.</li><li>
Performs other duties as assigned; duties, responsibilities and/or activities may change or new ones may be assigned at any time with or without notice</li><li>
Complies with all KeyBank policies and procedures, including without limitation, acting professionally at all times, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key&rsquo;s clients and Key.</li></ul><br>
<b>
Education</b><ul><li>
Bachelor's Degree in business, accounting, finance, or a related field or completion of no less than 3 senior level accounting and/or financial analysis courses (required)
</li></ul><br>
<b>Work Experience</b><ul><li>
1+ years of experience in an analytical or financial role (required)
</li><li>Corporate financial modeling experience (required)
</li></ul><br>
<b>Skills</b><ul><li>
Strong oral and written communication skills</li><li>
Experience with building financial models and equity data manipulation.</li><li>
Ability to conduct thorough and independent research and comfort with financial research platforms (Bloomberg, CapIQ, etc.)</li><li>
Ability to organize, analyze, and interpret data</li><li>
Proficiency with Microsoft Excel and Access</li><li>
Strong interest in financial markets and working knowledge of market dynamics and influences.</li><li>
Ability to synthesize data and articulate findings through excellent presentation skills.</li></ul><br>
<b>
Core Competencies</b><ul><li>
All KeyBank employees are expected to demonstrate Key&rsquo;s Values and abide by Key&rsquo;s Code of Conduct.
</li></ul><br>
<b>Physical Demands</b><ul><li>
General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.</li></ul><br>
<b>
Work Location Category</b><br>
<ul><li>
Hybrid (Sales)</li></ul><p></p><p>
COMPENSATION AND BENEFITS</p>
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.<p></p><p>
Please click here for a list of benefits for which this position is eligible.</p><p></p><p>
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.</p><p></p>
Job Posting Expiration Date: 08/31/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.<p></p><p>
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.</p><br>
<p></p>
#LI-Hybrid</div>

Equity Research Associate – Oil & Gas

Urban Pathways, Inc.

<div><h1 class="jobSectionHeader"><i>The salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills, and expertise.</i></h1><p><b><i><br>
Join UP! We are lighting the path home, one person at a time.</i></b></p><div><b>
About Urban Pathways</b></div><div>
Since 1975, Urban Pathways has engaged New York City&rsquo;s most vulnerable residents, people on the streets or in areas unfit for human habitation, &ldquo;lighting the path home, one person at a time.&rdquo; Urban Pathways is a catalyst for transformative change in the lives of unhoused adults, empowering them to discover their inherent strengths and abilities. We provide essential support and foster an environment where individuals can redefine their narratives and become their best selves.</div><div></div><div><b><br>
Job Summary</b></div><div>
Reporting to the Development Manager, the Development Operations Associate serves as the operational backbone of the Development &amp; Communications department and is responsible for supporting the integrity and effectiveness of fundraising operations, donor data management, gift processing, reporting systems, donor stewardship administration, and departmental coordination activities.</div><div></div><div><br>
The Development Operations Associate requires exceptional attention to detail, strong organizational and analytical skills, and the ability to manage multiple operational priorities in a fast-paced fundraising environment. The Development Operations Associate has a critical role in ensuring the accuracy, efficiency, and consistency of development systems and processes that support the organization&rsquo;s philanthropic goals.</div><div></div><div><b><br>
Key Responsibilities &amp; Essential Functions</b></div><div></div><div><b><br>
CRM &amp; Database Administration</b></div><ul><li>
Serves as primary administrator for the Development Department CRM/database, including gift entry, constituent record management, data integrity, coding consistency, mailing list maintenance, and ongoing database hygiene.</li><li>
Maintains accuracy and completeness of donor and gift records across all fundraising systems.</li><li>
Oversees data imports, constituent updates, segmentation lists, and reporting preparation.</li><li>
Assists in identifying and implementing database best practices and process improvements.</li></ul><div></div><div><b><br>
Gift Processing &amp; Stewardship Administration</b></div><ul><li>
Processes charitable contributions and pledge payments in a timely and accurate manner.</li><li>
Generates and coordinates donor acknowledgement and stewardship correspondence.</li><li>
Maintains organized digital and physical fundraising records and documentation archives.</li><li>
Tracks donor stewardship activities and supports acknowledgement workflows.</li></ul><div></div><div><b><br>
Reporting &amp; Analytics Support</b></div><ul><li>
Prepares standard and customized fundraising reports, donor lists, queries, and dashboard support materials for leadership, board engagement, campaigns, and events.</li><li>
Supports reporting needs related to fundraising performance, donor activity, and campaign tracking.</li><li>
Maintains fundraising reporting systems and ensures accuracy and consistency of donor and gift data.</li><li>
Assists with prospect research preparation and institutional fundraising support activities.</li></ul><div></div><div><b><br>
Finance &amp; Reconciliation Coordination</b></div><ul><li>
Coordinates gift documentation and reconciliation processes with the Finance team to ensure accuracy and integrity of fundraising revenue records.</li><li>
Assists with tracking event revenue, donor records, and reconciliation procedures.</li><li>
Supports audit preparation and fundraising documentation requests as needed.</li></ul><div></div><div><b><br>
Events &amp; Administrative Support</b></div><ul><li>
Provides operational and logistical support for fundraising events, donor stewardship activities, board functions, and special initiatives.</li><li>
Supports donor mailings, meeting preparation, sponsorship tracking, and event coordination activities.</li><li>
Assists with incoming in-kind donations and related coordination efforts.</li><li>
Serves as support for departmental administrative and operational projects as assigned.</li></ul><div></div><div><b><br>
Community &amp; Professional Communication</b></div><ul><li>
Maintains professional and collaborative working relationships with staff, donors, volunteers, board members, and external stakeholders.</li><li>
Responds to donor and stakeholder communications in a timely and professional manner.</li><li>
Participates in departmental meetings, trainings, and organizational initiatives as required.</li></ul><div></div><div><b><br>
Qualifications, Education &amp; Experience</b></div><ul><li>
Bachelor&rsquo;s Degree preferred.</li><li>
2&ndash;4 years of relevant development operations, fundraising administration, or CRM/database experience preferred.</li><li>
Experience with fundraising CRM/database systems required; Raiser&rsquo;s Edge NXT experience strongly preferred.</li><li>
Experience with gift processing, reporting, and donor stewardship administration preferred.</li><li>
Experience in nonprofit fundraising or advancement operations preferred.</li></ul><div></div><div><b><br>
Skills &amp; Competencies</b></div><ul><li>
Exceptional attention to detail and organizational skills.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to manage multiple priorities and deadlines effectively.</li><li>
Strong proficiency in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.</li><li>
Experience working with relational databases and reporting systems.</li><li>
Ability to work independently and collaboratively within a team environment.</li><li>
Strong customer service and interpersonal skills.</li><li>
Commitment to Urban Pathways&rsquo; mission, vision, and values.</li><li>
Willingness to work a flexible schedule including some evenings and weekends.</li></ul><div></div><p><b><br>
Capabilities</b></p><ul><li>Ability to sit, stand, walk, bend, stoop, push, pull, lift (up to 25 lbs.).</li><li>Desire to perform the essential functions of this job.</li><li>Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.</li><li>Comfortable with using public transportation to travel to and from various programs sites.</li></ul></div>

Development Operations Associate

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Equity Research Associate – Oil & Gas

Development Operations Associate