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senior software engineer analytics

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Data &amp; Analytics Federation
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10050103
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div>Bloomberg&rsquo;s Data &amp; Analytics Federation group enables content providers to expose a wide variety of data and analytics to any consumer application, ensuring the highest quality and reducing time to market. At the core of that mission is Calcrt, the single point of entry for the Bloomberg Terminal and Enterprise systems to retrieve any kind of data - serving over 400 billion requests a day.</div><div></div><div><br>
We own CalcrtX, a ground-up redesign that will redefine how data providers integrate with Calcrt. This moonshot project brings a modern, service-oriented architecture to one of Bloomberg&rsquo;s most critical systems, making it easier for data providers to deliver content at massive scale and higher reliability.</div><div></div><div><b><br>
Our team:</b></div>
<div>
We&rsquo;re the backbone of Bloomberg&rsquo;s data infrastructure, connecting applications to every type of content they need. Our work powers everything from market analytics to client dashboards. We design, build, and operate systems that must perform flawlessly at global scale.</div><div></div><div><br>
Our stack includes Modern C++, Python, BAS, Apache Arrow, and microservices-based async frameworks running on Linux.</div><div></div><div><b><br>
We'll trust you to:</b></div>
<ul><li>Shape the architecture and design of CalcrtX from the ground up.</li></ul>
<ul><li>Solve distributed systems problems at multi-billion-request-per-day scale.</li></ul>
<ul><li>Collaborate with dozens of teams across Engineering to redefine how data flows across Bloomberg.</li></ul>
<ul><li>Learn continuously through tech talks, study groups, and internal/external presentations.</li></ul>
<ul><li>Design and implement highly scalable, resilient microservices for CalcrtX.</li></ul>
<ul><li>Partner with data provider and client teams to streamline integration and performance.</li></ul>
<ul><li>Build tooling and frameworks that improve developer experience for hundreds of internal teams.</li></ul>
<ul><li>Ensure operational excellence, reliability, and observability across the new architecture.</li></ul>
<ul><li>Continuously optimize latency, throughput, and resource efficiency.</li></ul><div></div><div><b><br>
You'll need to have:</b></div>
<ul><li>4+ years of experience developing in Modern C++ or Python.</li></ul>
<ul><li>Strong system design and distributed systems fundamentals.</li></ul>
<ul><li>Familiarity with asynchronous frameworks and service-oriented architectures.</li></ul>
<ul><li>A collaborative mindset with excellent communication skills.</li></ul>
<ul><li>A degree in Computer Science, Engineering, Mathematics, or a related field &mdash; or equivalent work experience.</li></ul><div></div><div><b><br>
We'd love to see:</b></div>
<ul><li>Experience with Apache Arrow, BAS, or high-throughput data processing systems.</li></ul>
<ul><li>Knowledge of Linux system programming or performance engineering.</li></ul>
<ul><li>Contributions to large-scale infrastructure or open-source projects.</li></ul>
<ul><li>Passion for improving developer productivity and platform experience.</li></ul></div>
</div></div><div><div><div>Salary Range = 160000 - 240000 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>
<br>
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 Software Engineer - Data & Analytics Federation

DailyPay Inc

<div><p><b>About Us:</b><br>
DailyPay is transforming the way people get paid. As a worktech company and the industry&rsquo;s leading on demand pay solution, DailyPay uses an award-winning technology platform to help America&rsquo;s top employers build stronger relationships with their employees. This voluntary employee benefit enables workers everywhere to feel more motivated to work harder and stay longer on the job while supporting their financial well-being outside of the workplace.<br>
DailyPay is headquartered in New York City, with operations throughout the United States as well as in Belfast. For more information, visit DailyPay's Press Center.</p><h2 class="jobSectionHeader"><b>
The Role:</b></h2><p></p><p>
DailyPay is looking for a Senior Data Analyst to join our growing Data Team! The Senior Data Analyst will utilize various types of data to draw insights and build strategic recommendations to drive business value for the company, while working collaboratively to empower internal teams including Sales, Marketing, Product and Customer Success. This position will also enable client success through supporting the development of customer-facing data products and analytics.
</p><p>The mission of the Data Team is critical for continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay&rsquo;s leading role in the early wage access industry - and the Senior Data Analyst will be instrumental in helping to realize this vision for DailyPay.</p><p>
If this opportunity excites you, we encourage you to apply even if you do not meet all of the qualifications.</p><p></p><h2 class="jobSectionHeader"><b>
How You Will Make an Impact:</b></h2><ul><li><p><b>
Lead Advanced Analytics Initiatives</b>: Take ownership of complex analytics projects, proactively identifying opportunities to deliver actionable insights that drive strategic business outcomes.</p></li><li><p><b>
Translate Data into Strategic Recommendations</b>: You'll go beyond reporting, providing in-depth analysis and clear, data-driven recommendations to influence key business decisions.</p></li><li><p><b>
Collaborate Cross-Functionally</b>: Partner with stakeholders across departments to understand their needs, define requirements, and deliver impactful analytics solutions.
</p></li><li><p><b>Mentoring and leadership</b>: Guide the training and development of the analytics team&rsquo;s strategic problem solving skill set</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You Bring to The Team:</b></h2><ul><li><p>
4+ years SQL experience; strong SQL capability</p></li><li><p>
4+ years Analytics and/or Data Science experience</p></li><li><p>
Proficiency in programming languages such as Python or R, and experience with data analysis tools and libraries</p></li><li><p>
Strong background in statistical analysis, machine learning algorithms or predictive modeling techniques</p></li><li><p>
Excellent written and verbal communication skills, including presenting findings to stakeholders</p></li><li><p>
Ability to influence decision-making with data-driven insights, providing actionable recommendations that drive business outcomes</p></li><li><p>
Strong problem-solving and critical thinking skills</p></li><li><p>
Strategic, creative thinker will be highly valued for this role</p></li></ul><h2 class="jobSectionHeader"><b>
What We Offer:</b></h2><ul><li><p>
Exceptional health, vision, and dental care</p></li><li><p>
Opportunity for equity ownership</p></li><li><p>
Life and AD&amp;D, short- and long-term disability</p></li><li><p>
Employee Assistance Program</p></li><li><p>
Employee Resource Groups</p></li><li><p>
Fun company outings and events</p></li><li><p>
Unlimited PTO</p></li><li><p>
401K with company match</p></li></ul><p></p><p><br>
Compensation Range: $115K - $151K</p></div>

Senior Analyst, Product Analytics

Data Engineer, Product Analytics

GeneDx

<div><p><b>Summary</b></p>
<p>
We are seeking a Senior AI Engineer to design and build intelligent systems that transform how patients and clinicians interact with health data. You will develop longitudinal patient health views, create personalized agentic workflows for patient outreach, and integrate deeply with our data warehouse - all while crafting intuitive, delightful interfaces for exploring complex health information.</p>
<p>
This is a hands-on, high-impact individual contributor role requiring 8-10 years of experience and deep expertise across generative AI, clinical data systems, and modern software engineering.</p>
<p><b>
Job Responsibilities</b></p>
<ul>
<li>Longitudinal Patient Health Views - Design and build comprehensive, longitudinal representations of patient health by aggregating and normalizing data from electronic health records, lab results, genomic reports, and other clinical sources.</li>
<li>Agentic Workflows - Architect and implement personalized agentic AI workflows for interacting with patient health data and automating patient outreach (e.g., follow-up scheduling, result delivery, care gap identification).</li>
<li>Data Warehouse Integration - Integrate AI systems with the GeneDX data warehouse, ensuring reliable data pipelines, appropriate data governance, and performance access patterns.</li>
<li>Interface Design and Development - Collaborate with product and design teams to build intuitive, delightful user interfaces for clinicians and patients to explore and interact with health data.</li>
<li>Generative AI and NLP - Apply generative AI techniques for clinical information extraction, summarization, and conversational interfaces over health records.</li>
<li>Technical Leadership - Develop new methods and approaches for complex problems; mentor junior engineers; contribute to architectural decisions within the team.</li>
</ul>
<p><b>People Manager</b></p>
<ul>
<li>No</li>
</ul>
<p><b>Education, Experience, and Skills</b></p>
<ul>
<li>8+ years of professional software engineering experience, with significant depth in AI/ML.</li>
<li>Python expertise - Advanced proficiency; this is your primary language.</li>
<li>Agentic AI systems - Hands-on experience building agentic workflows, autonomous agents, and/or conversational AI / chatbot systems.</li>
<li>Agentic coding - Expertise leveraging AI-assisted coding tools and workflows for rapid, high-quality development.</li>
<li>Electronic Health Data - Familiarity with EHR systems, medical records, HL7/FHIR standards, and healthcare data formats.</li>
<li>Clinical ontologies - Experience working with SNOMED-CT, ICD-10, LOINC, RxNorm, HPO, or similar clinical terminologies.</li>
<li>Generative AI - Proven experience applying LLMs and generative models for information extraction, summarization, and/or retrieval-augmented generation (RAG).</li>
<li>Data integration - Experience integrating with data warehouses and building reliable data pipelines.</li>
<li>Develop new methods and approaches for solving complex problems.</li>
<li>Be accountable for significant portions of projects with proven, consistent contributions.</li>
<li>Work on complex issues requiring in-depth evaluation and independent judgment.</li>
<li>Collaborate cross-functionally with product, design, clinical, and data teams.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>Experience in genomics, genetic testing, or precision medicine.</li>
<li>Experience with building rich data interfaces.</li>
<li>Knowledge of HIPAA compliance and healthcare data privacy requirements.</li>
<li>Bachelor's degree in Computer Science, AI/ML, Biomedical Informatics, or related field; Master's preferred.</li>
</ul>
<p><b>Certificates, Licenses, Registrations</b></p>
<ul>
<li>None</li>
</ul>
<p><b>Work Environment</b></p>
<ul>
<li>This is a fully remote position. The employee will work from a home office or other suitable remote location with reliable high-speed internet access. Work is performed in a climate-controlled environment using standard office equipment, including a computer, phone, and video conferencing tools. Your standard work schedule and hours will be established in collaboration with your leader and may be adjusted to align with evolving business needs.</li>
</ul>
<p><b>Physical Demands</b></p>
<p>
This is a sedentary role requiring prolonged periods of sitting while working at a computer. Physical demands include:</p>
<ul>
<li>Sitting for extended periods (up to 8 hours per day)</li>
<li>Repetitive use of hands and fingers for typing and mouse operation</li>
<li>Visual acuity for reading computer screens and documents</li>
<li>Ability to communicate effectively via phone and video calls</li>
<li>Occasional lifting of up to 10 pounds (office supplies, equipment)</li>
</ul>
<p>Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.</p>
<p><b>
Acknowledgements</b></p>
<p>
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor.
</p><p>#LI-REMOTE</p><p></p><div><p><br>
~</p>
<p><b>
Science - Minded, Patient - Focused.</b></p>
<p>
At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pioneering work in the identification of new disease-causing genes, our commitment to genetic disease detection, discovery, and diagnosis is based on sound science and is focused on enhancing patient care.</p>
<p><b>
Experts in what matters most.</b></p>
<p>
With hundreds of genetic counselors, MD/PhD scientists, and clinical and molecular genomics specialists on staff, we are the industry's genetic testing experts and proud of it. We share the same goal as healthcare providers, patients, and families: to provide clear, accurate, and meaningful answers we all can trust.</p>
<p><b>
SEQUENCING HAS THE POWER TO SOLVE DIAGNOSTIC CHALLENGES.
</b></p><p>From sequencing to reporting and beyond, our technical and clinical experts are providing guidance every step of the way:</p>
<p><b>
TECHNICAL EXPERTISE</b></p>
<ul>
<li><i>High-quality testing</i>: Our laboratory is CLIA certified and CAP accredited and most of our tests are also New York State approved.</li>
<li><i>Advanced detection</i>: By interrogating genes for complex variants, we can identify the underlying causes of conditions that may otherwise be missed.</li>
</ul>
<p><b>CLINICAL EXPERTISE</b></p>
<ul>
<li><i>Thorough analysis</i>: We classify variants according to our custom adaptation of the most recent guidelines. We then leverage our rich internal database for additional interpretation evidence.</li>
<li><i>Customized care</i>: Our experts review all test results and write reports in a clear, concise, and personalized way. We also include information for research studies in specific clinical situations.</li>
<li><i>Impactful discovery</i>: Our researchers continue working to find answers even after testing is complete. Through both internal research efforts and global collaborations, we have identified and published hundreds of new disease-gene relationships and developed novel tools for genomic data analysis. These efforts ultimately deliver more diagnostic findings to individuals.</li>
</ul>
<p>Learn more About Us here.</p>
<p><b>
Our Culture</b></p>
<p>
At GeneDx, we are dedicated to cultivating an environment where creativity and innovation thrive. We believe in the power of community and collaboration, where diverse perspectives are embraced, and every voice contributes to our shared success. Our team is a vibrant mix of professionals who challenge and support each other in equal measure, fostering growth both personally and professionally. When you join us, you're not just taking on a job&mdash;you're joining a movement. A movement that champions curiosity, embraces change, and believes in making an impact, one patient at a time. Cultural principles we live by:</p>
<ul>
<li>Be bold in our vision &amp; brave in our execution.</li>
<li>Communicate directly, with empathy.</li>
<li>Do what we say we're going to do.</li>
<li>Be adaptable to change.</li>
<li>Operate with a bias for action.</li>
</ul>
<p><b>Benefits include:</b></p>
<ul>
<li>Paid Time Off (PTO)</li>
<li>Health, Dental, Vision and Life insurance</li>
<li>401k Retirement Savings Plan</li>
<li>Employee Discounts</li>
<li>Voluntary benefits</li>
</ul>
<p><b>GeneDx is an Equal Opportunity Employer.</b><br>
<br>
All privacy policy information can be found here.</p></div></div>

Sr. Machine Learning Engineer, Patient Health Intelligence

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium.<br>
<br>
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance.<br>
<br>
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.<br>
<br>
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology<br>
<br>
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers.<br>
<br>
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.<br>
<br>
You can learn more about Neuron<br>
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html<br>
https://aws.amazon.com/machine-learning/neuron/<br>
https://github.com/aws/aws-neuron-sdk<br>
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success<br>
<br>
Key job responsibilities<br>
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:<br>
<br>
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul><br>
A day in the life<br>
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.<br>
<br>
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative.<br>
<br>
About the team<br>
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 184,900.00 - 250,200.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

<div>
 <p>
  <strong>
   Role: Senior Data Analytics Engineer with AI Initiatives (Must)
  </strong>
 </p>
 <p>
  <strong>
   Location: New York/ Remote
  </strong>
 </p>
 <p>
  <strong>
   Experience: 5 - 10 years
  </strong>
 </p>
 <p>
  <strong>
   Duration: Full time
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 </p>
 <p>
  This is a
  <strong>
   hands-on engineering role
  </strong>
  focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL/ELT workflows
   </strong>
   to ingest and transform data from multiple sources
  </li>
  <li>
   Develop and optimize
   <strong>
    batch and near real-time data processing pipelines
   </strong>
   for analytics and reporting
  </li>
  <li>
   Build and maintain
   <strong>
    data warehouse and data lake structures
   </strong>
   to support business intelligence and analytics use cases
  </li>
  <li>
   Implement and maintain
   <strong>
    data models
   </strong>
   that support efficient querying and reporting
  </li>
  <li>
   Improve performance and scalability of data systems through
   <strong>
    query optimization, indexing, and partitioning strategies
   </strong>
  </li>
  <li>
   Implement
   <strong>
    data quality checks, monitoring, and logging
   </strong>
   to ensure reliability of data pipelines
  </li>
  <li>
   Exposure to
   <strong>
    AI initiatives
   </strong>
   and experience
   <strong>
    building data pipelines
   </strong>
   supporting
   <strong>
    AI workflows
   </strong>
  </li>
  <li>
   Work with data architects and engineering teams to implement
   <strong>
    scalable data platform designs
   </strong>
  </li>
  <li>
   Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
  </li>
  <li>
   Maintain documentation for data pipelines, data models, and data workflows
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    5 - 10 years of experience
   </strong>
   in Data Engineering and GenAI and Data Scientist and AI Engineer
  </li>
  <li>
   Strong experience with
   <strong>
    SQL and Python
   </strong>
   for data processing and transformation
  </li>
  <li>
   Experience building and maintaining
   <strong>
    ETL/ELT pipelines
   </strong>
  </li>
  <li>
   Solid understanding of
   <strong>
    data warehousing concepts and dimensional data modeling
   </strong>
  </li>
  <li>
   Experience working with
   <strong>
    cloud data platforms or modern data infrastructure
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    workflow orchestration tools
   </strong>
   such as
   <strong>
    Airflow
   </strong>
   or similar
  </li>
  <li>
   Understanding of
   <strong>
    API-based data ingestion and data integration patterns
   </strong>
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <p>
  Bachelor's or master's degree in computer science
  <strong>
   , Engineering, Information Systems, or a related field
  </strong>
  , or equivalent practical experience.
 </p>
</div>


AI Data Engineer

RSC Solutions

<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

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