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data platform marketing manager - select by doit Jobs in Boston

data engineer python developer

Zifo

<div>Location: Boston, MA, RTP North Carolina.
Zifo is a global specialist scientific and process informatics services company supporting life sciences, biotech, and pharmaceutical organizations. We enable digital transformation across R&amp;D, manufacturing, and quality by delivering data-driven, scalable, and compliant software solutions.
Zifo is seeking a passionate Software Developer who can work at the intersection of science, data, and technology. The role requires strong expertise in Python, SQL/NoSQL, AWS, FastAPI, and Benchling, along with the ability to work directly with scientists performing assay-based experiments. The successful candidate will translate experimental workflows into robust data components, scientific system integrations, AI-enabled insights, and next-generation data pipelines 
Requirements 
<ul><li>
Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics</li><li>
Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines</li><li>
Design, develop, and maintain Python-based backend services, APIs, and data pipelines on AWS</li></ul><ul><li>
Build backend services using FastAPI and supporting frameworks such as Flask or Django</li><li>
Develop and maintain RESTful APIs and microservices for integration with scientific systems including Benchling, LIMS, ELN, CDS, and SDMS</li><li>
Design and optimize SQL and NoSQL data models to support structured, semi-structured, and high-volume scientific data</li><li>
Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads</li><li>
Support AI/ML use cases by preparing datasets, enabling feature engineering, and integrating models into pipelines and applications</li></ul><ul><li>
Implement and maintain CI/CD pipelines for automated build, testing and deployment</li><li>
Apply Test-Driven Development (TDD) practices and develop automated unit, integration, and data validation tests</li><li>
Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)</li><li>
Perform code reviews, debugging, and performance optimization</li><li>
Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment</li><li>
Create ready to deliver technical documentation and track deliverables using JIRA and Confluence</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, Life Sciences with 2&ndash;5 years of hands-on experience in Python development with FastAPI (Flask or Django is a plus)</li><li>
Proficiency in SQL, including schema design, complex queries, and performance optimization &gt; Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora &gt; NoSQL databases such as DynamoDB, MongoDB, or equivalent</li></ul><ul><li>
Solid understanding of REST APIs, microservices, and integration patterns</li><li>
AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging</li><li>
Proficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software delivery</li><li>
Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries</li><li>
Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows</li><li>
Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)</li><li>
Exposure to life sciences, biotech, pharma, or healthcare domains and scientific platforms such as LIMS, ELN, SDMS, CDS, or data lakes</li><li>
Ability to design data models aligned to scientific and assay workflows &amp; integrating scientific or enterprise systems and working directly with scientists or lab users</li><li>
Knowledge of containerization (Docker) and modern deployment best practices</li><li>
Familiarity with Agile/Scrum &amp; SDLC development methodologies
</li><li>Strong communication, stakeholder engagement, and cross-team coordination skills</li></ul>
Additional Preferences<ul><li>
Willingness to travel/ relocate based on project or business needs</li><li>
Ability to work in a fast-paced, client-focused environment</li><li>
Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups</li></ul> 

Benefits 
CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&amp;D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team&rsquo;s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.
We look for Science &ndash; Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a &ldquo;no doors&rdquo; policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda &ndash; technical competency and cultural adaptability.
We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Data Engineer/Python Developer

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

Klaviyo

<div><div>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.</div>
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Data is at the heart of every decision made at Klaviyo, and we're looking for a Senior Data Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will own creating and maintaining the internal data infrastructure that powers Klaviyo's business. This role in particular will significantly contribute to the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and mentoring the team.

How You'll Make a Difference

As a Senior Data Engineer, you will shape the scalability, reliability, and cost-efficiency of our data platform. You'll lead architectural decisions, establish engineering best practices, and mentor other engineers while partnering closely with analytics, engineering, and business stakeholders.

Your work will directly influence data-driven decision-making across the organization by ensuring our data systems are performant, observable, and built to scale.

What You'll Do (Responsibilities)

Accelerating Engineering with AI
<ul>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.</li>
</ul>
Data Architecture &amp; Optimization
<ul>
<li>Design, develop, and maintain scalable dbt models and pipelines, including advanced incremental and merge strategies.</li>
<li>Architect solutions for attribution models, event data pipelines, and analytics at scale.</li>
<li>Lead performance optimization efforts across Snowflake and related data systems.</li>
<li>Define and enforce best practices for query performance, warehouse management, and cost control.</li>
</ul>
Pipeline &amp; Platform Ownership
<ul>
<li>Own end-to-end data pipelines, ensuring reliability, scalability, and observability.</li>
<li>Lead complex DAG orchestration with Airflow/MWAA.</li>
<li>Oversee Spark/EMR cluster management, job optimization, and large-scale backfills.</li>
<li>Implement monitoring, alerting, and automated recovery strategies for production systems.</li>
</ul>
Infrastructure &amp; DevOps Leadership
<ul>
<li>Architect infrastructure-as-code solutions using Terraform for Snowflake and AWS resources.</li>
<li>Oversee integration of AWS services (S3, EMR, Secrets Manager, CloudWatch) into the data platform.</li>
<li>Guide CI/CD pipeline design and improvements using GitHub Actions and CodeBuild.</li>
<li>Promote containerization best practices with Docker for scalable deployments.</li>
</ul>
Cost &amp; Performance Management
<ul>
<li>Monitor Snowflake and EMR usage to proactively optimize costs.</li>
<li>Analyze query performance and warehouse efficiency.</li>
<li>Troubleshoot and resolve pipeline and infrastructure performance issues.</li>
</ul>
Leadership &amp; Mentorship
<ul>
<li>Mentor and coach junior and mid-level data engineers through code reviews and technical guidance.</li>
<li>Establish and enforce coding standards, testing practices, and CI/CD processes.</li>
<li>Serve as technical lead for cross-functional data initiatives.</li>
<li>Advocate for reliability, performance, and cost optimization across the data engineering function.</li>
</ul>
Who You Are (Qualifications)
<ul>
<li>5+ years of data engineering experience, including demonstrated technical leadership.</li>
<li>Expert-level proficiency in dbt, including advanced modeling, testing frameworks, incremental strategies, and performance tuning.</li>
<li>Deep expertise in SQL and Snowflake, including query optimization, warehouse sizing, and cost governance.</li>
<li>Strong Python skills for data processing, API integrations, and internal tooling.</li>
<li>Experience architecting data lakehouse solutions.</li>
<li>Hands-on experience designing and operating Apache Iceberg-based data lake architectures on Amazon EMR.</li>
<li>Proven experience operating production systems with a strong focus on reliability and cost efficiency.</li>
<li>Demonstrated experience leveraging AI to improve personal and team workflows.</li>
<li>Strong problem-solving skills and an operational mindset focused on SLAs and production stability.</li>
<li>Ability to align technical decisions with business priorities.</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul>
Nice to Haves
<ul>
<li>Expertise in Spark/EMR performance optimization and scaling strategies.</li>
<li>Advanced Terraform usage across multi-environment infrastructure.</li>
<li>Extensive experience with Airflow/MWAA orchestration at scale.</li>
<li>Strong Docker and container orchestration experience.</li>
<li>Experience architecting AI-driven workflows, including multi-agent systems, concurrent execution models, and tool-augmented agents.</li>
<li>Domain experience in:</li>
<li><ul><li>Marketing attribution modeling and analytics data flows</li>
<li>Event data ingestion, transformation, and large-scale aggregation</li>
<li>Data warehouse governance, optimization, and cost modeling</li>
<li>BI infrastructure and operational excellence</li></ul></li></ul> 

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here<div>
Get to Know Klaviyo

We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
<div>
<div><div><div><div><div><div><div><div><div><div><div>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</div>
<div></div>
<div>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior Data Engineer, Business Intelligence

YO IT Consulting

<div>
 
 Role Overview
 
 
 
 Leading AI lab to engage independent
 
 Data Science Experts
 
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets to extract insights that inform model design and refinement.
 </li>
 <li>
 Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
 </li>
 <li>
 Conduct performance assessments and data quality reviews on AI model outputs.
 </li>
 <li>
 Build reusable tools for data processing, visualization, and reporting.
 </li>
 <li>
 Partner with research teams to test hypotheses and scale experimental workflows.
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, machine learning, or a related analytical field.
 </li>
 <li>
 Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
 </li>
 <li>
 Familiarity with large-scale data environments and version-controlled workflows.
 </li>
 <li>
 Strong command of statistical analysis, experimental design, and model validation.
 </li>
 <li>
 Clear written communication and comfort collaborating across technical teams.
 
 
 </li>
 </ul>
 
 More About The Opportunity
 
 
 
 <ul>
 <li>
 Expected commitment: 10+ hours/week.
 </li>
 <li>
 Exposure to high-impact AI research and applied experimentation.
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 
 Contract and Payment Terms
 
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 </ul>
</div>

Data Scientist - Remote

<div></div><div><div>Are you a curious, analytical student eager to apply your data science skills to real-world challenges at scale? Are you interested in building machine learning models, working with large datasets, and contributing to innovative AI projects that drive meaningful business impact?</div><div></div><div> 
If so, we&rsquo;d love to meet you.</div><div></div><div> 
XPO is a leading freight transportation provider with 39,000 employees across North America and Europe &mdash; and we&rsquo;re also a company where advanced analytics, machine learning, and emerging AI technologies are transforming how freight moves every day.</div><div></div><div> 
We are seeking a Data Science and AI Intern to join our team for a hands-on, high-impact experience from mid-May through the end of the summer. Interns at XPO are embedded in real project work, paired with experienced mentors, and given exposure to cutting-edge initiatives across our data science and technology organization.</div><div></div><div> 
This is an exciting opportunity for students who want to sharpen their technical skills while solving complex problems in an innovative, fast-paced environment.</div><div></div><div> 
This role is largely in-person and includes training and development through XPO&rsquo;s official internship program.</div><div> 
</div><div>Compensation: This will be a paid, hourly position.</div><div></div><div> 
Duration: 12-weeks (mid-May through August)</div><div></div><div> 
What you&rsquo;ll need to succeed as a Data Science Intern at XPO 
Minimum qualifications:</div><ul><li>
High school diploma or equivalent and currently pursuing a bachelor&rsquo;s degree</li><li>
2 or more years of relevant undergraduate coursework</li></ul><div>
Preferred qualifications:</div><ul><li>
Education toward a degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field</li><li>
Experience programming in Python and working with data-driven libraries (Pandas, NumPy, Scikit-learn, etc.)</li><li>
Familiarity with SQL and relational databases</li><li>
Coursework or project experience in machine learning, predictive modeling, or statistical analysis</li><li>
Exposure to modern AI techniques, including deep learning or large language models (LLMs) isa plus</li><li>
Strong analytical and problem-solving skills with attention to detail and accuracy</li><li>
Energetic work style with a strong drive to learn and contribute</li><li>
Excellent verbal and written communication skills, with the ability to explain technical findings to varied audiences</li></ul><div></div><div> 
About the Data Science Intern job 
What you&rsquo;ll do on a typical day:</div><ul><li>
Partner closely with a dedicated mentor and collaborate with experienced data scientists across the organization</li><li>
Analyze large, complex datasets to uncover trends, patterns, and actionable insights</li><li>
Develop and evaluate predictive models using machine learning techniques</li><li>
Communicate results and recommendations to technical and business stakeholders through presentations, reports and visualizations</li><li>
Work directly with cross-functional business partners to interpret results, iterate on findings and deliver impactful solutions</li><li>
Gain exposure to innovative applications of AI</li></ul> 
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you&rsquo;re looking for a growth opportunity, join us at XPO. 
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. 
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 
Review XPO's candidate privacy statement here.</div>

Data Science Intern

Chewy

<div>Job Description:
Our Opportunity
Chewy is seeking a full-stack Software Engineer II to join our Site Analytics Engineering team in Bellevue, WA. In this role, you will design, build, and maintain the applications and services powering Chewy&rsquo;s web and app analytics and experimentation platforms. You&rsquo;ll collaborate closely with storefront engineers and cross-functional stakeholders to ensure seamless integration and high performance across web and mobile platforms.
The Site Analytics Engineering team is responsible for data analytics and experimentation infrastructure &ndash; we empower our stakeholders with high quality data services, behavioral (Clickstream) event tracking, and experimentation platform capabilities. As a Software Engineer II, you will help define the technical direction of our event-driven analytics platform and lead the development of scalable, reliable backend systems that enable actionable insights and measurable business impact.
What You&rsquo;ll Do<ul><li>
Design, build, and maintain scalable backend systems, APIs, and microservices that power Chewy&rsquo;s internal clickstream analytics, experimentation, and data platforms.</li><li>
Contribute to event-driven architectures using Apache Kafka to support real-time data collection, streaming, and integration, ensuring data accuracy and consistency across analytics pipelines.</li><li>
Implement robust, fault-tolerant data services that ingest, process, and deliver trillions of daily events to downstream systems, supporting operational dashboards, reporting, and experimentation frameworks.</li><li>
Write clean, maintainable, and well-tested code, and contribute to code reviews, design discussions, and CI/CD best practices to ensure code quality and continuous delivery.</li><li>
Automate infrastructure provisioning using Terraform and Git-based workflows to deploy scalable, containerized applications. Champion infrastructure-as-code best practices across the team.</li><li>
Ensure reliability and performance of critical services through observability (e.g., Datadog, Grafana), active monitoring, and resolution of performance bottlenecks in high-throughput environments.</li><li>
Collaborate cross-functionally with frontend engineers, data engineers, data scientists, and product managers to understand requirements and translate them into backend solutions aligned with Chewy&rsquo;s business goals.</li><li>
Drive a culture of technical excellence and continuous improvement through documentation, mentorship, and collaboration, while upholding Chewy&rsquo;s standards for data security, compliance, and stakeholder trust.</li><li>
Articulate complex technical ideas (e.g., why a unified metric needs a certain definition, or how a new infrastructure change will reduce latency) to both technical and non-technical stakeholders.</li></ul>
What You&rsquo;ll Need<ul><li>
4+ years of professional backend software engineering experience, with a proven track record of building and maintaining large-scale systems in data-intensive environments.</li><li>
Ability to work across the entire application stack, from building user-facing interfaces (React, TypeScript, HTML/CSS) to implementing robust server-side logic (Java or Kotlin).</li><li>
Hands-on experience with containerization (Docker/Kubernetes) and deploying services within AWS environments (EC2, ECS, CloudWatch).</li><li>
Experience contributing to the design and leading the implementation of microservices and distributed systems.</li><li>
Proficiency in building event-driven components using Apache Kafka or similar streaming platforms and managing data via SQL/NoSQL databases.</li><li>
Familiarity with modern data stores and query engines like Snowflake, Databricks, or Redshift.</li><li>
Strong ability to perform code reviews, write technical documentation, and collaborate with cross-functional teams (Product, Design, Data).</li></ul>
Nice to Have:<ul><li>
Experience building AI-driven applications or integrating modern LLM-based capabilities.</li></ul><ul><li>
Experience with Terraform and observability tools such as Datadog, Dynatrace, CloudWatch, and Grafana.</li><li>
Proficiency in SQL databases (e.g., MySQL, PostgreSQL) for schema design, query optimization, and data modeling.</li><li>
Previous work on data platforms (Segment, mParticle, Tealium etc), experimentation frameworks (such as Weblab, Statsig, Eppo, Optimizely etc), and site analytics in a high-growth or e-commerce setting.</li></ul>
Join us to build foundational systems that power Chewy&rsquo;s data-driven decisions and elevate our customer experience through analytics and experimentation. 

The base salary range for this role is $120,000 - $191,500.<ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</div>

Software Engineer II,

<div>Job Description:
Our Opportunity:
Chewy is seeking a Business Intelligence Analyst II to support Merchandising and Supply Chain leadership by owning the operational metrics used to manage Dropship performance and Delivery Experience outcomes. This role sits at the intersection of data, operations, and decision-making, ensuring leaders have accurate, timely, and actionable insights to run the business. Locations include Boston, MA, Minneapolis, MN, Bellevue, WA, or Plantation, FL.
The ideal candidate is not just a report builder. They take end-to-end ownership of metrics, understand how data connects to customer impact and operational tradeoffs, and proactively surface risks and opportunities across the Dropship network.
What You'll Do:
This role owns analytics and operational metrics for Chewy&rsquo;s Dropship business, a distinct fulfillment channel with different cost structures, risk profiles, and customer experience dynamics than Core Fulfillment Network. You will support Merchandising and Supply Chain leadership by providing the metrics and insights used to manage vendor execution, delivery performance, and customer outcomes at scale.
Day to day, you will investigate complex, ambiguous data questions specific to Dropship, connect vendor behavior to delivery and CX outcomes, and translate findings into clear narratives that drive action. This is a high-visibility role with direct exposure to leadership decisions around vendor strategy, network risk, and customer experience tradeoffs.
What You'll Need:<ul><li>
A bachelor's, master&rsquo;s degree in information technology, engineering, statistics, computer science, business with analytics focus, or related field, or equivalent working experience.</li><li>
4 plus years of related full-time experience in an analyst role working on a business team, preferably in e-commerce or retail industry.</li><li>
Advanced knowledge of SQL and prior experience with data modelling and performance tuning techniques are a must-have.</li><li>
Experience with ETL techniques and BI tools (Tableau, KNIME, Control M, SSIS, Alteryx etc.) used for data transformation.</li><li>
Monitor data pipelines for accuracy, missing data, enhancements, and any other changes.</li><li>
Reconcile data issues between various systems and find opportunities drive improvements.</li><li>
Solid knowledge on using data visualization tools (preferably Tableau) working with multiple data sources and several dashboards.</li><li>
Lead quality control and testing initiatives for deliverables produced by Analytics team.</li><li>
Demonstrable success in interpreting data and analyzing results using statistical techniques and presenting findings to business partners across the organization.</li><li>
Experience applying statistical techniques such as hypothesis testing, correlation, classification, regression, and time series forecasting.</li><li>
Experience using machine learning frameworks in R or Python to drive process improvement is a big plus.</li><li>
Conceive, develop, and implement analytics solutions to complex business problems</li><li>
Work with cross-functional stakeholders in defining and documenting requirements for building high quality and impactful data products.</li><li>
Experience with Git, Jira, and Confluence to manage source code and track project development.</li><li>
Develop and deliver communication and training plans on data analytics capabilities, standards, and processes.</li><li>
Lead the evaluation, implementation and deployment of emerging tools and technologies to improve productivity.</li><li>
Passionate about leveraging data to drive innovation within a fast-paced and ambiguous environment.</li><li>
Current permanent US. work authorization required.</li></ul> 

The base salary range for this role is $87,000 - $130,000.<ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</div>

Business Intelligence Analyst II

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