software engineer

data analyst

senior data engineer

senior data scientist

data scientist

senior data developer

Uncommon Schools

<div><b>Company Description</b><p><br>
Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our <b>students consistently exceed national benchmarks</b>, reflecting our dedication to their success. We <b>invest deeply in our educators</b>, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference!</p><b><br>
Job Description</b><p><br>
Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Developer to lead the vision setting for and deployment of AI solutions across Uncommon Schools&mdash;from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day.</p><p><i>
Duties &amp; Responsibilities</i></p><p><b>
Solution Vision &amp; Architecture</b></p><ul><li>
Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems</li><li>
Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability</li><li>
Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals</li></ul><p><b>
Development &amp; Deployment</b></p><ul><li>
Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks</li><li>
Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring</li><li>
Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination</li></ul><p><b>
Infrastructure &amp; Enablement</b></p><ul><li>
Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently</li><li>
Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency</li><li>
Work with Data &amp; IT product managers to determine implementation pathways and data architecture across systems</li></ul><p><b>
Governance &amp; Continuous Improvement</b></p><ul><li>
Develop and maintain a library of &quot;Prompt Blueprints&quot; and best practices for AI implementation across the organization</li><li>
Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems</li><li>
Coach and support adjacent teams on AI development methodologies and emerging best practices</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required</b></p><ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience</li><li>
7+ years of professional software development experience</li><li>
5+ years of hands-on experience building integrations using APIs between applications</li><li>
5+ years working with source control and continuous integration tools (such as GitLab)</li><li>
Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js)</li><li>
Experience with frequent, incremental code testing and deployment practices</li><li>
Strong understanding of automation tools and SDLC methodologies</li></ul><p><b>
Preferred</b></p><ul><li>
Master's degree in Computer Science, Data Science, or related field</li><li>
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch</li><li>
Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI)</li><li>
Experience designing and optimizing prompts for generative AI models</li><li>
Track record mentoring or coaching other developers on technical practices</li></ul><br>
<b>
Additional Information</b><p><b><br>
Compensation</b></p><p>
Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity &amp; fairness and attracting &amp; retaining top talent.</p><p>
The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed.</p><p>
Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range.</p><p><b>
Benefit Highlights</b></p><ul><li>
19 days of paid time off</li><li>
3 weeks of paid Winter and Summer org-wide holidays</li><li>
Comprehensive Health, Dental, and Vision insurance plans</li><li>
403(b) retirement savings program + employer match</li><li>
Paid leave of absence options (parental, medical, disability, etc.)</li><li>
Mental health and counseling support + wellness benefits</li><li>
Pre-tax flexible spending, dependent care, and health saving accounts</li><li>
A detailed list of all benefits is located HERE</li></ul><p><b>
Work Environment</b></p><ul><li>
Location: New York, NY | Hybrid (3 days/week in-office)</li><li>
Schedule: 3 days per week in-office in accordance with Uncommon Schools policy</li><li>
On-call availability: You'll be on-call for data infrastructure emergencies</li><li>
Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours</li><li>
Travel: Minimal travel, including quarterly school visits and routine local travel within the region</li><li>
Physical requirements: Minimal physical demands; role primarily involves sitting at a desk for extended periods</li></ul><p>
At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve-with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture.</p><p>
As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.</p></div>

Senior Developer, Data & IT - AI Solutions

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Office Mgmt Analysis &amp; Plan/CV</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $160,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><p>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair City through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
<br>
The Office of Management Analysis and Planning (OMAP) analyze and evaluate Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department. comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments, resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.<br>
<br>
The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated Senior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a &quot;think tank,' OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.<br>
<br>
A successful candidate will contribute to the section mission by providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine leaming solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.<br>
<br>
WORK LOCATION:
<br>
1 Police Plaza, New York, N.Y. 10038<br>
<br>
WORK SCHEDULE:<br>
Monday to Friday 8 x 4 or 10 x 6<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #771153<br>
<br>
ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
<br>
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
IT PROJECT SPECIALIST - 95710</p><p><b><br>
Minimum Qualifications</b></p><p><br>
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
4. Education and/or experience which is equivalent to &quot;1&quot;, &quot;2&quot;, or &quot;3&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Ability to lead code reviews for data science and maintain core software packages. - Experience designing full-stack software products using Python, SQL, and/or R. - Experience designing statistical and machine leaming models (e.g. scikit-learn, statsmodels. PyTorch, HuggingFace). - Experience performing a wide range of data science tasks, including but not limited to data visualization, natural language processing, geospatial analytics, and nework analysis (e.g. Pandas, NumPy. Matplotlib, NLTK, GeoPandas, Flask). - Excellent oral. written, analytic, organizational, and interpersonal skills and attention to detail are required. - Ability to manage technical debt and use design patterns to design effective software architecture. - Ability to manage multiple projects simultaneously and meet tight deadlines. - Ability to train junior team members and work cross-functionally to strengthen relationships across the department. - Knowledge and understanding of criminal justice policy and research literature is preferred.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771153</div>
</div></div><div><div><div><div>Posted until
</div><div>04/01/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95710</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT PROJECT SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Senior Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Senior Data Scientist</div></div></div></div></div></div><p></p>

Senior Data Scientist

Alma

<div><div><p>Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<div>
Website</div>
<div>Job Board</div>
<div>Values</div>
<div>Candidate Interview Guide</div>
<div></div>
<div>-</div>
</div><div></div><h2 class="jobSectionHeader"><b>
Senior Data Scientist I, Analytics</b></h2>
<p>
Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<p>
The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. We are looking for a Senior Data Scientist to join the Client Experience team to make searching for the right therapist a seamless experience. In this role, you will apply your expertise in analytics and experimentation to solve challenging problems including conversion funnel optimization, search ranking, and client-provider matching. You will collaborate with a diverse cross-functional team of product managers, software engineers, and designers to define and execute on the Client Experience product roadmap.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What you'll do:</b></h2>
<ul><li>Generate insights through deep-dive analysis to inform strategy and prioritization</li>
<li>Define metrics and create dashboards to measure product performance</li>
<li>Design, execute, and analyze A/B testing experiments to validate product hypotheses</li>
<li>Collaborate with product, engineering, and marketing stakeholders to define the product roadmap</li>
<li>Identify opportunities and initiate new data science projects that drive company OKRs</li>
<li>Communicate technical insights effectively to influence decision-making</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Who you are:</b></h2>
<ul><li>You have a Master's degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience</li>
<li>You have 2-4 years of experience as a data scientist supporting product development</li>
<li>You are an expert in SQL</li>
<li>You are proficient in either R or Python for data analysis</li>
<li>You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights</li>
<li>You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>We're a remote-first company</li>
<li>Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans</li>
<li>401K plan (ADP)</li>
<li>Lifestyle Spending Account for health, wellness, and family care</li>
<li>Monthly co-working space membership stipend</li>
<li>Monthly work-from-home stipend</li>
<li>Financial wellness benefits through Northstar</li>
<li>Pet discount program through United Pet Care</li>
<li>Financial perks and rewards through PerkSpot</li>
<li>EAP access through Aetna</li>
<li>One-time home office stipend to set up your home office</li>
<li>Inclusive family and medical leave plans</li>
<li>12 paid holidays and 1 Alma Give Back Day</li>
<li>Flexible PTO</li></ul><br>
<p></p>
<p>
Salary Band: $143,900 -$180,000</p><br>
<p></p>
<p>
All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.</p><div><p>
Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice.</p></div></div>

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
<br><br>
The Role - Senior Software Engineer, Data Platform
<br><br>
We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.
<br><br>
This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.
<br><br>
What You'll Do
<br>Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
<br>Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
<br>Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
<br>Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
<br>Stay up-to-date with emerging technologies and industry trends in data systems and platform development
<br>Qualifications
<br>A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
<br>A product-minded approach—you understand how our software impacts user experience and business outcomes
<br>Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
<br>Excellent collaboration and communication skills, with the ability to influence across teams
<br>Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
<br>Hands-on experience designing and operating modern data lakehouse and warehouse systems (Iceberg, Trino, BigQuery, StarRocks, Citus)
<br>Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
<br>Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
<br>Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms
<br>Preferred Qualifications
<br>Experience with Rust
<br>Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
<br>History of open source contribution, particularly in the data systems ecosystem
<br><br>
The base salary range for this role is $190,000 - $240,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.
<br><br>
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
<br><br>
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
<br><br>
One team, being brave, driving change
<br><br>
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
<br><br>
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Software Engineer, Data Platform

Authentic

<div>
 Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
  </li>
  <li>
   Own data models end-to-end&mdash;from source ingestion through transformation to delivery&mdash;ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
  </li>
  <li>
   Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
  </li>
  <li>
   Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases
  </li>
  <li>
   Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed pipelines and models
  </li>
  <li>
   Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
  </li>
  <li>
   Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
  </li>
  <li>
   Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
  </li>
  <li>
   Experience with Python for data processing and pipeline development
  </li>
  <li>
   Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
  </li>
  <li>
   Familiarity with AWS data services and infrastructure-as-code
  </li>
  <li>
   Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
  </li>
  <li>
   Track record of building reliable systems without sacrificing velocity&mdash;you know when to move fast and when to be careful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our (FTE) benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary, equity, and role trajectory
  </li>
  <li>
   Comprehensive health benefits for you and your family
  </li>
  <li>
   401(k) plan with company match
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Paid parental leave
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Authentic
  <br/>
  <br/>
 </strong>
 Authentic is transforming how insurance is distributed. We design and power custom insurance programs, helping brokers and partners unlock better economics and deliver a modern, tech-enabled experience to their clients. We're a Series A company backed by top investors, including FirstMark Capital, Zigg Capital, Slow Ventures, Clocktower, Commerce Ventures, and Altai. We've grown 15x+ in the past year with a massive market opportunity ahead.
 <br/>
 <br/>
 <em>
  Authentic is committed to building an inclusive working environment regardless of gender, sexual orientation, religion, ethnicity, race, education, age, or other personal characteristics. We believe that people do their best work when they can be themselves, and different perspectives and experiences make us stronger as a team. We're proud of the supportive and inclusive workplace we're building together and are always working to make it even better.
 </em>
</div>


Software Engineer - Data

PJT Partners

<div><p>PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.
</p><p></p><p>From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.
</p><p></p><p>To learn more about PJT Partners, please visit our website at www.pjtpartners.com .
</p><p></p><h1 class="jobSectionHeader"><b>Responsibilities
</b></h1><p></p><p>The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm&rsquo;s business activities. Our Technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm&rsquo;s AI initiatives. This is a platform engineering role &mdash; the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm&rsquo;s security and compliance requirements.
</p><p></p><p>Responsibilities include:
</p><p></p><p><b>AI Platform &amp; Developer Infrastructure
</b></p><ul><li>Design, build, and operate the firm&rsquo;s AI platform, enabling developers to build and deploy Python-based AI applications;
</li><li>Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;
</li><li>Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
</li><li>Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
</li></ul><p><b>Data Infrastructure &amp; Pipelines
</b></p><ul><li>Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;
</li><li>Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;
</li><li>Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB.
</li></ul><p><b>Cloud Infrastructure &amp; DevOps
</b></p><ul><li>Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);
</li><li>Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;
</li><li>Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;
</li><li>Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.
</li></ul><p><b>Security, Governance &amp; Compliance
</b></p><ul><li>Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;
</li><li>Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;
</li><li>Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;
</li><li>Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level.
</li></ul><p><b>Collaboration &amp; Documentation
</b></p><ul><li>Produce architecture designs, runbooks, and technical documentation for all platform components;
</li><li>Support application developers building AI-powered applications with platform guidance and troubleshooting;
</li><li>Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure.
</li></ul><p></p><h1 class="jobSectionHeader"><b>Qualifications
</b></h1><p></p><p>PJT Partners seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following:
</p><ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, or related field (Master&rsquo;s degree is a plus);
</li><li>8+ years in infrastructure engineering, cloud platform engineering, or data engineering;
</li><li>Demonstrated experience building shared platforms or developer services in an enterprise environment;
</li><li>Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;
</li><li>Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;
</li><li>Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;
</li><li>Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;
</li><li>RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;
</li><li>Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;
</li><li>Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;
</li><li>DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;
</li><li>Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);
</li><li>Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;
</li><li>Azure certifications: AI-102, DP-203, or AZ-305;
</li><li>Prior experience in investment banking or regulated financial services environments.
</li></ul><p></p><p>Expected annualized base salary of $175,000 to $215,000.
</p><p></p><p>This range represents the low and high ends of the expected annualized base salary for this position. The specific base salary received by any employee will be informed by a number of factors, including but not limited to, role level and scope, location, candidate&rsquo;s relevant qualifications, skills and experience.
</p><p></p><p>Base salary is one component of PJT Partners&rsquo; compensation structure. In addition to base salary, PJT Partners&rsquo; compensation structure may include additional rewards, incentives and benefits, including but not limited to, a discretionary bonus component.
</p><p></p><p><i>PJT is an equal opportunity employer. We do not discriminate on the basis of, and will consider all qualified applicants for employment without regard to race, color, religious creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity expression, disability, medical condition, genetic information or predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other category protected by law. PJT Partners also complies with all applicable laws with regard to providing reasonable accommodation of disabilities to applicants. For more information or to request an accommodation, please contact Human Resources.
</i></p><p></p><p><b><i>California Applicants: </i></b><i>PJT Partners will consider for employment qualified applicants with arrest and/or conviction records in a manner consistent with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance and/or Los Angeles Fair Chance Initiative for Hiring Ordinance.
</i></p><p></p><p><b><i>Applicant Privacy Notice:
</i></b></p><p><i>View our Applicant Privacy Notice </i><i>https://info.pjtpartners.com/PJT_Global_Applicant_Privacy_Notice </i><i>here. If you are a California resident, please refer to our California Applicant Privacy Notice </i><i>https://info.pjtpartners.com/California_Applicant_Privacy_Notice </i><i>for further information.<br>
</i></p><p><br>
<b>*In order to be considered, please ensure your resume/CV is submitted in PDF format.</b></p></div>

Vice President - Technology (Data & AI Infrastructure Engineer)

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

Java Full Stack Developer/Architect-6

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