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data engineer

CVS Health

<div>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.<h1 class="jobSectionHeader">
Position Summary</h1>
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.
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.
As a 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.
As a Data Engineer, you will:<ul><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. Utilize 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></ul>
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.
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.
Required Qualifications<ul><li>
1+ years of experience with SQL, NoSQL</li><li>
1+ years of experience with Python (or a comparable scripting language)</li><li>
1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
1+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
1+ years of experience with reporting/analytic tools</li><li>
1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
1+ years of experience with Big data and cloud architecture</li><li>
1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)</li><li>
1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li></ul>
Preferred Qualifications
<ul><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 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>
Understanding of software development methodologies including waterfall and agile</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 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>
Education<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>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$64,890.00 - $173,040.00
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. 
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.
Great benefits for great people
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:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues 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.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Data Engineer

Slalom

<div>
 
 Who You'll Work With
 
 
 
 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.
 
 
 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
 
 
 <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
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 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:
 
 
 <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)
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 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.
 
 
 
 Compensation And Benefits
 
 
 
 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.
 
 
 
 Role
 
 
 
 
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and salary ranges:
 
 
 
 <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
 
 </li>
 </ul>
 </ul>
 
 EEO and Accommodations
 
 
 
 
 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.
 
 
 
</div>

Kargo

<div>
 
 Who We Are
 
 
 
 Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.
 
 
 
 Who We Hire
 
 
 
 Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it.
 
 
 
 Mission
 
 
 
 We're looking for a hands-on Data Engineer Summer Intern to work with KDW engineers on building, testing and improving the data infrastructure that powers production analytics and reporting. This is a practical engineering internship &mdash; you'll contribute to real production pipelines, learn the team's engineering practices (PRs, DORA metrics, sprint rituals), and deliver measurable improvements under engineering mentorship.
 
 
 
 The summer internship program runs for 10 weeks from June 3 to August 9. All internship positions are paid. This will be a full-time internship with up to 40 hours a week from Monday through Friday with the expectation of 4x in the office.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Develop and maintain data ingestion &amp; transformation pipelines (Python, SQL) for internal reporting and analytics.
 </li>
 <li>
 Work with the team to implement and test ETL/ELT jobs (Airflow, Spark/Snowflake or equivalent orchestration/compute).
 </li>
 <li>
 Troubleshoot and resolve pipeline failures, contribute to runbook/operational documentation.
 </li>
 <li>
 Support identity &amp; data-onboarding work (privacy-aware): help implement identity stitching and 1P data onboarding flows and integrations, and help operationalize privacy guardrails for targeting datasets.
 </li>
 <li>
 Author clear, reviewable code and follow PR labeling/commit practices to support team DORA metrics.
 </li>
 <li>
 Write and maintain Confluence design docs and Jira ticket updates for work you own or help implement.
 </li>
 <li>
 Partner with Analytics and downstream stakeholders (SalesOps, Product) to understand data needs, run validation, and deliver reliable datasets used for business decisions.
 </li>
 <li>
 Present a short end-of-internship demo/summary of your project and learnings to the Data team.
 
 
 </li>
 </ul>
 
 What You'll Learn
 
 
 
 <ul>
 <li>
 How to design, build, and maintain scalable data ingestion and transformation pipelines using Python and SQL for real-world analytics and reporting use cases.
 </li>
 <li>
 Hands-on experience implementing and testing ETL/ELT workflows with modern orchestration and compute tools (e.g., Airflow, Spark, Snowflake), including troubleshooting production pipeline issues.
 </li>
 <li>
 Best practices for writing clean, reviewable code, contributing to operational documentation, and supporting engineering excellence through structured PR and release processes.
 </li>
 <li>
 How identity stitching, first-party data onboarding, and privacy-aware data workflows work in practice&mdash;plus how to operationalize guardrails for responsible data usage.
 </li>
 <li>
 How to collaborate with Analytics, SalesOps, and Product stakeholders to translate business needs into reliable datasets&mdash;and confidently present your work to a technical audience.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Currently pursuing a BS/MS in Computer Science, Engineering, Data Science, or a related technical field.
 </li>
 <li>
 Strong SQL skills and comfort writing queries for data validation and exploration.
 </li>
 <li>
 Proficiency in Python and familiarity with software development basics (git, code review).
 </li>
 <li>
 Hands-on interest in data engineering topics: ETL/ELT, data modeling, data quality and pipelines.
 </li>
 <li>
 Clear written and verbal communication; comfort updating tickets and documenting work in Confluence / Jira.
 
 
 </li>
 </ul>
 
 Our Laurels
 
 
 
 <ul>
 <li>
 AdAge Best Places to Work
 </li>
 <li>
 ThinkLA Partner of the Year
 </li>
 <li>
 Built In Best Places to Work
 </li>
 <li>
 Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
 </li>
 <li>
 Martech Breakthrough Awards - Best Overall Adtech Company
 </li>
 <li>
 Digiday Media Awards Best Event
 </li>
 <li>
 Cynopsis Media Impact Awards-Best CTV Platform
 </li>
 <li>
 Martech Breakthrough Awards-CTV Innovation
 </li>
 <li>
 Adweek Media Plan of the Year Awards - Best Use of Insights
 
 
 </li>
 </ul>
 
 Follow Our Lead
 
 
 
 <ul>
 <li>
 Big Picture: kargo.com
 </li>
 <li>
 The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)
 </li>
 </ul>
</div>

Intern, 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

Data Engineer, Product Analytics

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

The Walt Disney Company

<div><div>Job ID 10143375 Location New York, United States / Remote, United States Business Disney Advertising Date posted Mar. 02, 2026
This role is considered remote, which means the employee will work remotely on an ongoing basis and will not have an assigned workspace at a Company designated location.
<div><h4 class="jobSectionHeader">Job Summary:</h4>
<div>Department/Group Overview:
Supporting the Disney Advertising organization the Data Strategy team are subject matter experts in each of the following areas:<ul><li>
Identity</li><li>
Measurement</li><li>
Addressability</li><li>
Programmatic</li><li>
Data-forward business development</li></ul>
Job Summary:
We&rsquo;re looking for an individual to join the Data Science, Strategy, and Instrumentation Organization as a Sr. Data Science Engineer. The individual that fills this role will be responsible for driving data science and engineering development within a range of Advertising focus areas including identity, interoperability, measurement and Clean Rooms. They will be considered a technical expert within the team and have a major say in influencing development standards and data architecture. The ideal candidate naturally demonstrates initiative and a desire to design and optimize engineering processes.
Responsibilities and Duties of the Role:
Develop Pipelines + Implement Code (75%)<ul><li>
Design, develop and oversee the deployment of code in SQL, Python or other applicable languages to build client-facing analytical tools (REST APIs) and complex data pipelines.</li><li>
Design and develop the orchestration of processes (via Airflow or native cloud tools) that ingest, join and process terabytes of both structured and unstructured data from multiple sources to distribute to storage repositories and API endpoints for data collaboration, AI and machine learning deployment initiatives.</li><li>
Work with business leadership and technical teams to gather requirements and ensure development work meets business needs; communicate architectural designs to leadership to ensure scope is appropriately captured.</li><li>
Establish design standards for the development of data pipelines and engineering tools that leverage AI/ML; ensure code is consistent and repeatable.</li></ul>
Provide Thought Leadership &amp; Mentorship (25%)<ul><li>
Provide mentorship to junior team members by assisting with the scoping and architecture of projects from a technical lens.</li><li>
Provide expertise in development and architecture best-practices within SQL, Python, Airflow and cloud environments such as Google Cloud, Snowflake and AWS.</li></ul>
Required Education, Experience/Skills/Training:<ul><li>
Bachelor&rsquo;s degree in computer science, Mathematics, Statistics or related field and minimum of 5 years of experience (or Masters degree and minimum of 3 year of experience) working in a data engineering role.</li><li>
Proficiency using SQL within Cloud environments, preferably Google Cloud and Snowflake.</li><li>
Proficiency developing code, pipelines and orchestration processes in Airflow using Python.</li><li>
Proficiency in bash and other command-line programming tools such as Google Cloud/AWS SDKs and Snowflake SnowSQL.</li><li>
Experience creating technical documentation and writing/creating visuals to scope requirements for developers to implement.</li><li>
Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.</li><li>
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks &quot;why&quot;) and a hands-on/execution capacity (detail-oriented, conscientious).</li><li>
Great organization, communication, and teamwork skills.</li><li>
Preference given to experience in digital advertising and advertiser-facing data products such as Data Clean Rooms.</li></ul>
#DisneyAdvertising 

The hiring range for this remote position is $135,200 to $208,400 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Sr Data Science Engineer

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Sr Data Science Engineer