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machine learning engineer

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senior data engineer

The Cypress Group

<div>
 <p>
  Our client is a growing Fintech software company Headquarted in New York, NY. They have several hundred employees and are in growth mode.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are currently looking for a Senior Data Engineer w/ 6+ years of overall professional experience. Qualified candidates will have hands-on experience with Python (6 years), SQL (6 years), DBT (3 years), AWS (Lambda, Glue), Airflow and Snowflake (3 years). BSCS and good CS fundamentals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will work in a collaborative team environment and will be responsible for building, optimizing and scaling ETL Data Pipelines, DBT models and Datawarehousing. Excellent communication and organizational skills are expected.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role features competitive base salary, equity, 401(k) with company match and many other attractive perks. Please send your resume to nyjobs@cypressg.com for immediate consideration.
 </p>
</div>


Senior Data Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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:
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 There is flexibility to hire at the Engineer I/II or Senior Engineer level, depending on your experience
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <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

Slalom

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 <br/>
 <br/>
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 <br/>
 <br/>
 <ul>
  <li>
   Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  </li>
  <li>
   Machine Learning and Artificial Intelligence
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 <br/>
 <br/>
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 <br/>
 <br/>
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 <br/>
 <br/>
 <ul>
  <li>
   You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.
  </li>
  <li>
   You also must be within commutable distance to one of Slalom's Atlanta, Boston or New York City's office locations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 <br/>
 <br/>
 <ul>
  <li>
   Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  </li>
  <li>
   Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  </li>
  <li>
   Object Oriented Coding (Java, Python)
  </li>
  <li>
   NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  </li>
  <li>
   Container Management Systems (Kubernetes, Amazon ECS)
  </li>
  <li>
   Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  </li>
  <li>
   Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  </li>
  <li>
   Visual Analytics (Tableau, PowerBI)
  </li>
  <li>
   Modern Data Workflows (Apache Airflow, dbt, Dagster)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 <br/>
 <br/>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and salary ranges:
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Atlanta, Miami:
  </li>
  <ul>
   <li>
    Consultant: $91,000-$112,000
   </li>
   <li>
    Senior Consultant: $119,000-$146,000
   </li>
  </ul>
  <li>
   New York, Boston:
  </li>
  <ul>
   <li>
    Consultant: $99,000-$122,000
   </li>
   <li>
    Senior Consultant: $130,000-$159,000
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  EEO and Accommodations
  <br/>
  <br/>
 </strong>
 <em>
  Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
 </em>
 <em>
 </em>
</div>


Data Engineer

NavitasPartners

<div><h1 class="jobSectionHeader"><b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer (LangGraph)</b></h1>
<p><b>
Location -</b> New York City</p>
<h2 class="jobSectionHeader"><b>
Role Overview</b></h2>
<p>
We are seeking a <b>Senior Python Backend&ndash;Heavy Full Stack AI Engineer</b> with hands-on experience in <b>LangGraph and agentic AI systems</b>.</p>
<p>
This role focuses on building production-grade AI agents and workflows on top of enterprise datasets and internal applications. The ideal candidate is execution-focused and capable of delivering immediate impact.</p>
<p></p>
<h2 class="jobSectionHeader"><b>Core Responsibilities</b></h2>
<ul>
<li><p>Build and deploy AI agents using <b>LangGraph</b></p>
</li>
<li><p>Develop backend-heavy AI systems using <b>Python + FastAPI</b></p>
</li>
<li><p>Implement:</p>
<ul>
<li><p>RAG pipelines</p>
</li>
<li><p>Text-to-SQL systems</p>
</li>
<li><p>Prompt-engineered agent workflows</p>
</li>
<li><p>Business data summarization tools</p>
</li>
</ul></li><li><p>Integrate AI capabilities into enterprise applications</p>
</li>
<li><p>Work with structured datasets (PostgreSQL)</p>
</li>
<li><p>Collaborate with business stakeholders</p>
</li>
<li><p>Contribute to frontend updates when required (TypeScript)</p>
</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Technical Skills</b></h2>
<h3 class="jobSectionHeader"><b>Backend (Primary Focus)</b></h3>
<ul>
<li><p>Strong Python proficiency</p>
</li>
<li><p>FastAPI experience</p>
</li>
<li><p>Strong SQL skills</p>
</li>
<li><p>PostgreSQL experience</p>
</li>
<li><p>API design &amp; production architecture experience</p>
</li>
</ul><h3 class="jobSectionHeader"><b>AI / Agentic Frameworks (Critical)</b></h3>
<ul>
<li><p>Hands-on <b>LangGraph</b> experience</p>
</li>
<li><p>Strong understanding of:</p>
<ul>
<li><p>Agent orchestration</p>
</li>
<li><p>Prompt engineering</p>
</li>
<li><p>RAG architectures</p>
</li>
<li><p>Text-to-SQL pipelines</p>
</li>
</ul></li><li><p>Experience building production-ready AI agents</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Frontend (Secondary)</b></h3>
<ul>
<li><p>Working knowledge of TypeScript</p>
</li>
<li><p>Ability to support UI changes when required</p></li></ul></div>

Senior Python Backend–Heavy Full Stack AI Engineer - 26-02001

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

Bloomberg

<div><div><div><div><div><div>Senior Data Management Professional - Company Financials, Analytics Engineer
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Data
</div></div><div><div>Ref #
</div><div>10049339
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div>Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock &ndash; from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology&mdash;quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.<br>
</div><div></div><br>
<div>Our Team
</div><div>The Company Financials (CoFi) Data team provides clients with fast, accurate, and trusted financial data that powers analysis across markets and industries. Our datasets support reporting, modeling, and insight generation for internal stakeholders and external clients.<br>
</div><div></div><br>
<div>We combine financial domain expertise, data modeling, analytics engineering, and technical rigor to create high-quality, performant analytical datasets that support a wide range of reporting and decision-making needs.<br>
</div><div></div><br>
<div>What's the role?
</div><div>As a Senior Data Management Professional within the Business Intelligence team, you will play a key role in shaping and evolving the analytical data foundations that power our reporting platform.<br>
</div><div></div><br>
<div>This is a hands-on, data-focused role centered on building, modeling, and optimizing analytical datasets. You will own and evolve Foundational Reporting Datasets (FRDs), ensuring they are accurate, performant, reusable, and aligned with domain realities. You will work closely with domain experts, Product, and Engineering partners to translate complex, real-world financial data into stable analytical schemas that support scalable reporting and reuse.<br>
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<div>Your work will directly influence how data is trusted, modeled, and reused across teams, balancing immediate analytical needs with long-term scalability and governance.<br>
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<div>We'll trust you to:
</div><ul><li>Build, maintain, and evolve Foundational Reporting Datasets (FRDs) that serve as the analytical backbone for reporting and analysis
</li></ul><ul><li>Write and optimize SQL queries to clean, shape, and model noisy, real-world data into performant, reusable datasets
</li></ul><ul><li>Make pragmatic tradeoffs around correctness, scope, performance, and documentation, reasoning about data semantics and grain
</li></ul><ul><li>Continuously improve data quality, clarity, and query efficiency
</li></ul><ul><li>Work closely with domain experts and stakeholders to understand how the data is produced, interpreted, and used
</li></ul><ul><li>Actively build domain intuition over time &mdash; learning why the data behaves the way it does, not just how it&rsquo;s structured
</li></ul><ul><li>Represent the data accurately and confidently in cross-functional discussions
</li></ul><ul><li>Identify analytical work that is worth formalizing into reusable data products
</li></ul><ul><li>Help define clear boundaries between foundational datasets and decision-specific, reusable data products
</li></ul><ul><li>Collaborate with a Product Manager who owns roadmap and prioritization, providing deep input into feasibility and tradeoffs
</li></ul><ul><li>Partner with engineers on performance, tooling, and modeling decisions, while remaining focused on the data layer itself<br>
</li></ul><div></div><br>
<div>You'll need to have:
</div><ul><li>4+ years of experience as a BI analyst, analytics engineer, or similar data-focused role</li></ul>
<ul><li>Deep hands-on experience with, SQL-based data modeling, PySpark and Pandas/Polars, analytical dataset design, performance and efficiency considerations as well as storage/layout optimization for analytical tables
</li></ul><ul><li>Experience designing for schema evolution and the ability to source validation and data profiling
</li></ul><ul><li>Proven ability to turn messy, ambiguous data into trusted analytical assets
</li></ul><ul><li>Comfort working under ambiguity and improving things incrementally
</li></ul><ul><li>Strong collaboration skills and interest in learning a data domain deeply
</li></ul><ul><li>Ability to translate semi-structured producer data into stable analytical schemas (OLTP to OLAP)<br>
</li></ul><div></div><br>
<div>We'd love to see:
</div><ul><li>Experience working with complex or regulated datasets
</li></ul><ul><li>Experience using Bloomberg Terminal and Company Financials products
</li></ul><ul><li>Exposure to data product or platform-style thinking
</li></ul><ul><li>Experience partnering closely with domain experts or SMEs
</li></ul><ul><li>Experience driving adoption of new systems
</li></ul><ul><li>Interest in data governance, ownership, and reuse patterns
</li></ul><ul><li>Familiarity with modern table formats and distributed query engines at scale (e.g., Iceberg/Delta; Trino/Spark or equivalents)
</li></ul><ul><li>Exposure to high-concurrency BI serving patterns (OBT)</li></ul>
</div></div><div></div><div><div><div>Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
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We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Data Management Professional - Company Financials, Analytics Engineer

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