data engineer ii - quantumblack, ai by mckinsey

software engineer

ai engineer

business intelligence analyst Jobs in New York

business intelligence analyst

data engineer ii

data engineer ii - quantumblack, ai by mckinsey Jobs in New York

data engineer

Trepp

<div>Trepp's Data Platform Team is responsible for the distributed systems and datalake architectures that power our entire product suite. As a member of the Data Platform Team, you will focus on building robust foundations and scalable frameworks that empower our developers and ensure platform stability. Beyond infrastructure, you will play a key role in building and maintaining reliable, high-quality data products that serve as the backbone for business-critical insights. We own the end-to-end data lifecycle&mdash;from ingestion frameworks to observability stacks&mdash;allowing Trepp to scale effectively in a data-driven market.

We are looking for a code-first Data Engineer to join our NYC office and help transform complex data requirements into elegant, automated solutions.<h3 class="jobSectionHeader"> 
</h3>
<h3 class="jobSectionHeader">What You'll Do:</h3>
<ul>
<li>Build &amp; Enhance: Collaborate with senior engineers to build, maintain, and scale our core data ingestion and pipeline frameworks.
</li>
<li>Own the Architecture: Dive deep into our platform's design to contribute meaningfully to technical discussions and high-impact project implementations.
</li>
<li>Ship Quality Code: Translate complex technical requirements into clean, testable, and scalable Python code and data workflows.
</li>
<li>Innovate &amp; Research: Participate in &quot;Proof of Concept&quot; (PoC) initiatives to test-drive new open-source tools and cutting-edge methodologies.
</li>
<li>Stability First: Champion engineering best practices&mdash;like robust unit testing and thorough documentation&mdash;to keep the platform rock-solid as we grow.</li> 
</ul>
<h3 class="jobSectionHeader">Requirement:</h3>
<ul>
<li>Education: Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field.
</li>
<li>Experience: 1&ndash;3 years of experience in data or software engineering. We highly value relevant internships, research assistantships, or significant academic projects as part of this experience.
</li>
<li>Coding: Strong proficiency in Python (preferred), Java, or Scala, with an emphasis on writing clean, testable code
</li>
<li>Data: Solid understanding of SQL and relational database concepts and data modeling.
</li>
<li>Engineering: Familiarity with Git workflows, SDLC, and basic CI/CD principles.
</li>
<li>Mindset: Strong problem-solving skills and the ability to explain the &quot;why&quot; behind your technical decisions.</li> 
</ul>
<h3 class="jobSectionHeader">What Gives You An Edge:</h3>
<ul>
<li>Cloud: Familiarity with AWS services (S3, Lambda, EMR, or Glue).
</li>
<li>Big Data: Hands-on experience or academic exposure to Apache Spark.
</li>
<li>Modern Tech: Interest or experience with LLMs and AI-driven data workflows.</li></ul> 


Salary Range:
<ul>
<li>Base salary starting from $155k plus bonus eligible</li></ul> 


Benefits and Perks:
<ul>
<li>Base + target bonus compensation structure</li>
<li>Medical, Dental, Vision insurance</li>
<li>401K (with employer match)</li>
<li>Life insurance, long term disability, short term disability all covered by the company</li>
<li>Flexible paid time off (PTO)</li>
<li>Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible)</li>
<li>Four (4) weeks paid parental leave</li>
<li>Wellness subsidy</li>
<li>Pet insurance</li>
<li>Laptop + WFH equipment
</li><li>Career progression plan</li>
<li>Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)</li>
<li>Fun company events and volunteering opportunities</li>
</ul>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). 


Workplace Policy:

NYC, PA, and London office-based positions: Trepp's offices follows a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday. 


About Trepp

Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT).</div>

Data Engineer II

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions.
 
 
 You&rsquo;ll collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries. You&rsquo;ll sharpen your expertise by working on innovative projects, contributing to R&amp;D, and learning from top-tier talent in a dynamic, global environment.
 
 
 Your work will drive lasting impact. By ensuring data is accurate, accessible, and production-ready, you&rsquo;ll enable clients to accelerate digital transformations, adopt AI responsibly, and achieve measurable business outcomes. Here&rsquo;s how you might contribute in a given year:
 
 
 <ul>
 <li>
 Develop a streaming data platform to integrate telemetry for predictive maintenance in aerospace systems
 </li>
 <li>
 Implement secure data pipelines that reduce time-to-insight for a Fortune 500 utility company
 </li>
 <li>
 Optimize large-scale batch and streaming workflows for a global financial services client, cutting infrastructure costs while improving performance.
 </li>
 <li>
 Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation (RAG) for a global defense client.
 
 
 </li>
 </ul>
 You&rsquo;ll work in cross-functional Agile teams with Data Scientists, Machine Learning Engineers, Designers, and domain experts to deliver high-quality analytics solutions. Partnering closely with clients&mdash;from data owners to C-level executives&mdash;you&rsquo;ll shape data ecosystems that drive innovation and long-term resilience.
 
 
 This role offers an exceptional environment to grow as a technologist and collaborator. You&rsquo;ll develop expertise at the intersection of technology and business by tackling diverse challenges while collaborating with some of the best technical and business talent in the world.
 
 
 There is flexibility to hire at the Engineer I/II or Senior Engineer level, depending on your experience
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Business Analytics, Engineering, Mathematics, or related field
 </li>
 <li>
 2+ years of professional experience in data engineering, software engineering, or adjacent technical roles
 </li>
 <li>
 Proficiency in Python, Scala, or Java for production-grade pipelines, with strong skills in SQL and PySpark
 </li>
 <li>
 Hands-on experience with cloud platforms such as (AWS, GCP, Azure, Oracle) and modern data storage/warehouse solutions such as Snowflake, BigQuery, Redshift, and Delta Lake
 </li>
 <li>
 Practical experience with Databricks, AWS Glue, and transformation frameworks like dbt, Dataform, or Databricks Asset Bundles
 </li>
 <li>
 Knowledge of distributed systems such as (Spark, Dask, Flink) and streaming platforms (Kafka, Kinesis, Pulsar) for real-time and batch processing
 </li>
 <li>
 Familiarity with workflow orchestration tools such as (Airflow, Dagster, Prefect), CI/CD for data workflows, and infrastructure-as-code (Terraform, CloudFormation)
 </li>
 <li>
 Understanding of DataOps principles including pipeline monitoring, testing, and automation, with exposure to observability tools such as Datadog, Prometheus, and Great Expectations
 </li>
 <li>
 Exposure to ML platforms such as (Databricks, SageMaker, Vertex AI), MLOps best practices, and GenAI toolkits (LangChain, LlamaIndex, Hugging Face)
 </li>
 <li>
 Familiarity with vector databases and understanding of low latency serving patterns is a plus
 </li>
 <li>
 Willingness to travel as required
 </li>
 <li>
 Strong communication, time management, and resilience, with the ability to align technical solutions to business value
 </li>
 </ul>
</div>

Data Engineer II - QuantumBlack, AI by McKinsey

MedReview Inc.

<div>
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 
 
 The ETL Engineer is responsible for designing, developing, and maintaining data pipelines that extract, transform, and load data into analytics platforms, including SQL Server and ClickHouse for real-time and high-performance querying. This role ensures data integrity, scalability, and performance for BI, reporting, and advanced analytics.
 
 
 
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 ETL Pipeline Development
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Design and implement ETL workflows using SQL Server Integration Services, Azure Data Factory, Databricks, and ClickHouse.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Develop transformations for structured and semi-structured data; optimize for speed and reliability.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 ClickHouse Integration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build and maintain ingestion pipelines for ClickHouse using batch and streaming methods.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Optimize ClickHouse schemas, partitions, and materialized views for query performance.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Data Integration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Connect multiple sources (SQL Server, APIs, cloud storage, Kafka/Event Hubs) into centralized data platforms.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Performance &amp; Optimization
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Monitor SSIS ETL jobs and SQL Server and ClickHouse queries; tune for low latency and high throughput.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement compression, sharding, and replication strategies in ClickHouse.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Data Quality &amp; Governance
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Apply validation checks, error handling, and lineage tracking.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Ensure compliance with security and governance standards.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Collaboration
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Work with data engineers, analysts, and BI teams to deliver reliable datasets.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support real-time analytics and dashboards powered by PowerBI and ClickHouse.
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 Documentation
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Maintain clear documentation for ETL processes, SQL Server and ClickHouse schemas, and operational playbooks.
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strong experience with ETL tools (Azure Data Factory, SSIS, Databricks).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in SQL and relational database concepts.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with ClickHouse (schema design, ingestion, optimization).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with cloud platforms (Azure preferred).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Programming skills in Python or Scala for data processing.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience with streaming data (Kafka, Azure Event Hubs).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with big data frameworks.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Understanding of DevOps practices for data pipelines.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to BI tools (Power BI, Tableau) integrated with ClickHouse.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 3+ years of experience in ETL development and data integration.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 This is an On-Premises position
 
 . Monday through Thursday (9-5)
 
 and remote on Fridays only (No exceptions).
 
 
 
 
 
 &nbsp;
</div>

ELT Engineer

Joyful Health

<div>
 
 Building the financial operating system for healthcare, and bringing the
 
 
 
 joy
 
 
 
 back to healthcare by fixing the financial chaos behind it.
 
 
 
 The healthcare payment system is a complex and inefficient maze - healthcare practices leave $125 billion in revenue uncollected each year, lost in the chaos of fragmented financial data, manual workflows, and opaque payer systems. This financial uncertainty leaves practices struggling to stay afloat, while valuable revenue slips through the cracks.
 
 
 Joyful Health is building the AI-powered financial operating system for healthcare practices. Our mission is to bring the joy back to running a private practice by simplifying financial operations so providers can focus on patient care. We spent 10 months working as fractional CFOs for a dozen practices, doing this work side by side with providers as we developed our product.
 
 
 We just closed a funding round led by world-class investors led by CRV and XYZ and angels including the founders of MongoDB &amp; KAYAK.
 
 
 🚀 We have an enormous opportunity in front of us. The broken healthcare payment ecosystem impacts practices of all sizes, and the opportunity to make a real difference is massive.
 
 
 
 This role is full-time. We&rsquo;re looking for someone NYC-based who is open to coming into the office 3 days a week.
 
 
 
 
 
 The base pay range for this role is $150,000&ndash;$275,000 per year.
 
 
 
 
 Role Description
 
 
 We&rsquo;re looking for a talented and ambitious backend engineer with 5+ years of experience in developing distributed pipelines who&rsquo;s excited to solve one of the toughest challenges in healthcare&mdash;financial data interoperability. You&rsquo;ll play a key role in shaping our data integration strategy and enabling us to onboard customers at scale.
 
 
 Integrating the financial data of small healthcare practices&mdash;each with its own unique systems&mdash;has long been a roadblock in the industry. This has meant that very few solutions have emerged in the market that are actually able to solve the unique challenges of small medical practices (and even larger ones). We&rsquo;ve begun to crack this challenge, and the work that we&rsquo;ve done so far has enabled us to seamlessly onboard new data sources in days, not months. This entirely opens up a massive untapped market.
 
 
 As a software engineer, you&rsquo;ll have an outsized impact on the company&rsquo;s trajectory, working on a critical problem that&rsquo;s central to our success. This is a great opportunity for someone who wants to work on something extremely challenging and make a huge difference. You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you'll be able to wear many hats and take on new challenges as they arise.
 
 
 This role is full-time. We&rsquo;re looking for candidates based in NYC.
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Drive the architecture, design, and implementation of complex pipelines for AI agents and data ingestion sources
 </li>
 <li>
 Develop and scale our data integration infrastructure to connect seamlessly with a variety of healthcare systems.
 </li>
 <li>
 Solve interoperability challenges to help healthcare practices recover lost revenue and understand their financial health.
 </li>
 <li>
 Work closely with the engineering and product teams to improve onboarding speed and build a robust data strategy.
 </li>
 <li>
 Actively contribute to building the team&rsquo;s architectural vision and technical roadmap
 </li>
 <li>
 Collaborate on code reviews and technical design documents to ensure code quality and distribute knowledge
 
 
 </li>
 </ul>
 We&rsquo;d love to hear from you if&hellip;
 
 
 <ul>
 <li>
 You&rsquo;re passionate about Joyful Health&rsquo;s mission &ndash; you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind.
 </li>
 <li>
 You&rsquo;re excited to shape the future of our engineering team and are excited to lead by example &ndash; as an early team member, you&rsquo;ll have the chance to influence everything from our technical roadmap to our company culture. You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems. You also have a low ego, growth mindset, and desire to see the product and team scale with your impact.
 </li>
 <li>
 You have a love for your craft and strong technical execution - you view coding as a craft, not just a task, and you&rsquo;re excited about using technology to create meaningful impact. Your technical skills go beyond coding&mdash;you care about building a product that works at scale, with the user at the forefront. We care more about your drive, hustle, and passion than a college degree from a shiny institution or experience at name-brand companies.
 </li>
 <ul>
 <li>
 You have 5+ years of experience in backend engineering, with a focus on building data pipelines and integrations.
 </li>
 <ul>
 <li>
 Experience working with healthcare data or solving interoperability challenges is a plus.
 </li>
 </ul>
 <li>
 Proficiency in:
 </li>
 <ul>
 <li>
 Python and database systems, with familiarity in performance and optimization for scale
 </li>
 <li>
 Experience in distributed systems coordination and AI pipelines
 </li>
 <li>
 Familiarity with big data technologies and comfortable working with massive datasets
 </li>
 <li>
 CI/CD workflows such as Github actions
 
 </li>
 </ul>
 </ul>
 </ul>
 Working at Joyful
 
 
 At Joyful Health, we&rsquo;re on a mission to fix one of the most broken systems in healthcare.
 
 
 Learn more about our culture and how we do work at Joyful here!
 
 
 Joining us means having the opportunity to make a direct, meaningful impact on the lives of clinicians and the financial health of their practices. Here&rsquo;s what you can expect from working with us:
 
 
 
 🚀 Meaningful Impact
 
 You&rsquo;ll be tackling one of the most complex challenges in healthcare&mdash;helping practices thrive in a chaotic financial landscape. Your work will directly contribute to solving one of the most hair on fire problems for providers, ensuring that they can focus on what they do best: caring for patients.
 
 
 
 🔑 Autonomy &amp; Ownership
 
 As an early team member, you&rsquo;ll have significant autonomy and the chance to shape our company from the ground up. You&rsquo;ll have ownership over your work and the freedom to challenge the status quo in an environment that values initiative and creativity.
 
 
 
 📈 Growth &amp; Learning
 
 We&rsquo;re a small, ambitious team with big goals, which means you&rsquo;ll be constantly learning and growing. You&rsquo;ll take on new challenges, expand your skill set, and have direct access to experienced founders and advisors who are invested in your development. We also offer stipends for professional development courses &amp; books (that we often will partake in together!) so we can all continuously grow.
 
 
 
 💰 Competitive Compensation &amp; Equity
 
 We believe that our team is our most valuable asset. We offer competitive compensation packages, strong equity, and the opportunity to share in the success of Joyful Health. We want you to feel supported, both financially and professionally, as we grow together.
 
 
 
 ❤️ Be Your Best Self
 
 We provide the benefits you need to stay happy and healthy, including comprehensive healthcare benefits, unlimited PTO (with a minimum of 10 days off a year), and flexibility so you can take care of yourself. We also organize regular team off-sites and events to ensure that even as we tackle big problems we enjoy the journey.
 
 
 
 Please apply even if you don't meet 100% of the criteria. Nobody checks every box every time and we'd love to talk to you about how and why you can see yourself growing into this role. We're also very open to candidates with non-traditional experience.
 
 
 
</div>

Software Engineer

Tagup

<div>
 Tagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We&rsquo;re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world&rsquo;s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.
 
 
 Do you love learning? Do you like understanding many parts of a system, not just one small section? Do you enjoy sharing your knowledge with others, and learning things from them in turn? If the answer is yes, we&rsquo;d love to talk!
 
 
 We&rsquo;re a team of engineers and data scientists driven by our mission: to make the machines and processes that power the world safer, more reliable, and more efficient. Tagup's AI software directly controls large-scale industrial equipment and logistics systems, ensuring our customers get the best performance they can.
 
 
 As a Software Engineer, you will help create and maintain the services that allow us to deliver value to our customers. This includes building out our API, databases, ETL processes, and more! You will have the opportunity to work on tasks ranging from writing high performance SQL queries that support our API to building high throughput data pipelines that feed our AI models.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 You are fluent in Python and SQL
 </li>
 <li>
 You have built and deployed APIs
 </li>
 <li>
 You can clearly communicate pros and cons of design decisions
 </li>
 <li>
 You write clean code that is well tested and easy to maintain
 </li>
 <li>
 You've worked with kubernetes
 </li>
 <li>
 You proactively seek and share ways to personally improve
 
 
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with AWS and Terraform
 </li>
 <li>
 Experience with REST APIs written in python
 </li>
 <li>
 Experience with writing robust integration tests
 </li>
 <li>
 Knowledge of computer networking
 
 
 
 
 
 </li>
 </ul>
 Salary
 
 
 The estimated salary range for this position is between $85,000 and $140,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees&rsquo; experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.
 
 
 As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company&rsquo;s 401K plan, and foster a team-oriented work environment with regular company outings!
 
 
 Why Join Us?
 
 
 At Tagup, your code powers mission-critical systems in defense and aviation. You&rsquo;ll work across the stack, tackle challenging problems, and grow quickly as part of a fast-moving, collaborative team making AI that truly matters.
 
 
 Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.
 
 
 Citizenship
 
 : Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

within

<div>About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization.

In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases.

Your work will directly impact 200&ndash;500 employees and potentially clients, making AI a core productivity multiplier across the organization.

Responsibilities include but are not limited to:
<ul>
<li>LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs.</li>
<li>Agent &amp; Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations.</li>
<li>Context &amp; Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations.</li>
<li>Reliability &amp; Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies.</li>
<li>Evaluation &amp; Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics.</li>
<li>Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations.</li>
<li>Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals.</li>
<li>Continuous Innovation Stay current with advances in LLM systems, agent architectures, and applied AI tooling to continuously improve Rai's capabilities.</li>
</ul>
Requirements
<ul>
<li>Strong programming skills in Python with experience building production systems.</li>
<li>Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.).</li>
<li>Deep understanding of:</li>
<li><ul><li>Context windows and token limits</li>
<li>Multi-turn conversation behavior</li>
<li>Tool/function calling</li>
<li>Structured outputs (JSON schema)</li>
<li>Prompt design and failure modes</li>
</ul></li><li>Experience integrating external APIs into production systems.</li>
<li>Proficiency in SQL.</li>
<li>Experience working with cloud platforms (GCP, AWS, or Azure).</li>
<li>Strong problem-solving skills and ability to debug complex system behavior.</li>
<li>Excellent communication and cross-functional collaboration skills.</li>
</ul>
Strong Plus
<ul>
<li>Experience designing evaluation frameworks for LLM-powered systems.</li>
<li>Understanding of embeddings, vector search, and RAG architectures.</li>
<li>Experience building agent or multi-agent workflows.</li>
<li>Experience with stateful execution environments or sandboxed code execution.</li>
<li>Experience with document automation (Google Docs, Slides, PDFs).</li>
<li>Experience building internal developer tools or productivity platforms.</li>
<li>TypeScript.</li>
</ul>
Required knowledge of:
<ul>
<li>Python</li>
<li>SQL</li>
<li>Cloud Platforms (GCP, AWS, Azure)</li>
<li>LLMs / AI APIs</li>
<li>Git / GitHub</li>
</ul>
Nice to have:
<ul>
<li>Data Warehouses (BigQuery, Snowflake, Redshift)</li>
<li>Data Transformation (dbt)</li>
<li>Semantic Layers (Cube, Looker, dbt Metrics)</li>
<li>TypeScript</li>
</ul>
Our interview process includes, but is not limited to the following:
<ul>
<li>Excel and Typing Test</li>
</ul>
We offer a competitive salary and benefits based on ability level, including:
<ul>
<li>Unlimited vacation policy</li>
<li>Monthly Phone Stipend</li>
<li>Comprehensive Medical, Dental, and Vision insurance options</li>
<li>401(K) plan with matching</li>
<li>Dog friendly office</li>
<li>Hybrid work opportunity</li>
<li>Professional Development Program</li>
<li>Bonus Perk - Seamless allowance</li>
</ul>
Base salary based on education, experience, and skills level ($145,057-$296,054)
<ul>
<li>Level 1 - Possesses essential capabilities
<ul>
<li>$145,057-$175,256
</li>
</ul></li><li>Level 2 - Possesses developing capabilities
<ul>
<li>$175,256-$205,456
</li>
</ul></li><li>Level 3 - Possesses notable capabilities.
<ul>
<li>$205,456-$235,655
</li>
</ul></li><li>Level 4 - Possesses strong capabilities.
<ul>
<li>$235,655-$265,855
</li>
</ul></li><li>Level 5 - Possesses advanced capabilities.
<ul>
<li><ul><li>$265,855-$296,054</li></ul> 
</li>
</ul></li></ul><div>About WITHIN &amp; Brkfst.io

WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.

Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.

Check out some of our work!

Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale.

We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, &amp; more!

This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us.

We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed.
<div>
<div><div><div><div><div><div><div>Join Our Network!

Stay connected with us and be the first to know about new opportunities, industry insights, and updates.

Follow us on:
<ul>
<li>LinkedIn</li>
<li>WhatsApp Community</li>
<li>Instagram</li>
<li>Tik Tok</li>
</ul>
</div><div>Locations
<ul>
<li>New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States</li>
<li>Bogot&aacute;: WeWork Av. Carrera 19 #100-45 Usaqu&eacute;n, Piso (Floor) 10, Bogot&aacute;, Distrito Capital de Bogot&aacute; 110111, Colombia</li>
<li>Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de M&eacute;xico, CDMX 06500, M&eacute;xico</li></ul></div></div></div></div></div></div></div></div></div></div>

AI Engineer

TEGNA

<div><div><h3 class="jobSectionHeader">About TEGNA</h3>

TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news.</div><div> 
<div>
As the b, you will be the technical architect of our revenue truth. Sitting within the Data &amp; AI workstream, you will lead the integration of our CRM and Traffic systems into a unified Revenue Semantic Layer in Snowflake. 
A core component of this role involves managing and evolving our custom Master Data Application built on Salesforce, ensuring that data flowing from Wide Orbit and our CRM remains clean, socialized, and actionable for the entire Sales organization. 
Responsibilities: 
1. Revenue Semantic Layer &amp; Master Data Management 
<ul><li>Master Data Stewardship: Manage, socialize, and evolve our proprietary Master Data Application (Salesforce-based). Ensure account hierarchies, advertiser mapping, and agency relationships are synchronized across all platforms.</li><li>System Integration: Use dbt to model and join complex data sets from Salesforce (CRM) and Wide Orbit (Traffic/Media Sales) into Snowflake.</li><li>Semantic Modeling: Maintain the &quot;Single Source of Truth&quot; for revenue metrics, ensuring that a &quot;booked&quot; dollar in Wide Orbit matches the &quot;closed-won&quot; opportunity in Salesforce.</li></ul>
2. Revenue Insights &amp; Yield Analytics 
<ul><li>End-to-End Analytics: Build Tableau Cloud dashboards that track the full sales lifecycle&mdash;from pipeline health in Salesforce to execution and pacing in Wide Orbit.</li><li>Yield &amp; Inventory Optimization: Analyze fill rates and sell-through levels to help the Yield team maximize the value of every spot and impression.</li><li>Requirement Engineering: Partner with Ad Ops, Finance, and Sales leadership to translate business needs into technical user stories.</li></ul>
3. Data Socialization &amp; Change Management 
<ul><li>Application Evangelism: Act as the primary advocate for our Master Data Application, training business users on its importance and gathering feedback for its continuous evolution.</li><li>Cross-Functional Training: &quot;Socialize&quot; unified revenue data across departments, ensuring Sales and Finance are aligned on definitions for net vs. gross revenue.</li></ul>
The Technical Ecosystem 
<ul><li>Warehouse: Snowflake</li><li>CRM &amp; Master Data: Salesforce (Expertise required)</li><li>Traffic &amp; Media Sales: Wide Orbit (Familiarity required)</li><li>Transformation: dbt (data build tool)</li><li>BI: Tableau Cloud</li></ul>
Requirements: 
<ul><li>Experience: Approx. 5 years in revenue analytics or analytics engineering within the media industry.</li><li>System Expertise: Significant experience with Salesforce data structures and Wide Orbit (Traffic/Network/Sellers) data outputs.</li><li>Technical Mastery: Advanced SQL (Snowflake) and expert-level dbt skills. High proficiency in Tableau Cloud.</li><li>Communication: Proven ability to &quot;socialize&quot; data and manage master data hygiene across multiple platforms.</li></ul></div>
</div><div><h3 class="jobSectionHeader">
Benefits:</h3>

TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance.

Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA's 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one.

Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor's appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health.

TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year.
<ul><li>Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union.</li></ul>

EEO statement:

TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com

Recruiting Fraud Alert: 
 
To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains.
 
 
Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers.<div> 
</div>
<div>Privacy Notice for California Residents</div>
<div></div>
<div>SMS Messaging Privacy Policy</div></div></div>

Data Analyst - Advertiser

Explore 391+ Data engineer in New York this March. Find roles across top companies and apply now to boost your career.

391 data engineer jobs In New York

Data Engineer II

Data Engineer II - QuantumBlack, AI by McKinsey

ELT Engineer

Software Engineer

Software Engineer

AI Engineer

Data Analyst - Advertiser