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Pinterest Data Engineer Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 10 min read

Discover the secrets to crafting a compelling resume tailored for a Data Engineer role at Pinterest, one of the world's leading visual discovery platforms. This article delves into the key elements of an effective resume, highlighting essential skills, experience, and accomplishments that will make you stand out from the competition. Learn how to showcase your technical acumen in big data technologies, software engineering, data warehousing, and machine learning while emphasizing your ability to collaborate with cross-functional teams and creatively solve complex problems. With these expert tips and insights, you'll be well on your way to landing an exciting Data Engineer position at Pinterest.

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Pinterest Data Engineer Resume Example

Kymber Lamberts, Data Engineer


(306) 859-5803

45 Maple Street, Concord, NH 03301

Professional Summary

Data Engineer with 1 year of experience in designing, developing, and maintaining scalable data solutions. Proficient in SQL, Python, and ETL processes, with a strong foundation in data warehousing and data modeling. Demonstrated ability to contribute to cross-functional teams and successfully manage multiple projects. Highly adept at analyzing complex data sets and optimizing data pipelines for improved efficiency and performance. Seeking opportunities to expand expertise in big data technologies and drive data-driven decision-making.

Work Experience

Data Engineer at Liberty Mutual Insurance, NH

Mar 2023 - Present

  • Successfully designed and implemented a scalable data pipeline that increased data processing efficiency by 40%, resulting in reduced operational costs and faster data-driven decision-making at Liberty Mutual Insurance in NH.
  • Developed and deployed a machine learning model for predicting customer churn, leading to a 15% reduction in customer attrition and contributing to an annual revenue increase of $2 million.
  • Spearheaded the migration of legacy data systems to a modern cloud-based platform, reducing infrastructure costs by 30% and improving data security and accessibility for over 1,000 employees across the organization.

Associate Data Engineer at Oracle, NH

Jul 2022 - Feb 2023

  • Implemented a data pipeline optimization project, resulting in a 25% reduction in processing time and saving 100 hours of manual work per month.
  • Developed and deployed a machine learning model for predicting customer churn, increasing retention rates by 15% and generating an additional $1.2 million in annual revenue.
  • Led a team of 4 junior data engineers in designing and implementing a real-time data streaming solution, resulting in a 35% improvement in data availability and a 20% increase in system efficiency.


Master of Science in Data Engineering at University of New Hampshire, Durham, NH

Sep 2018 - May 2022

Relevant Coursework: Advanced Database Systems, Data Integration and Processing, Big Data Analytics, Machine Learning, Cloud Computing, Data Visualization, Distributed Systems, Data Warehousing, Data Mining, and Data Security.


  • Hadoop
  • Spark
  • SQL
  • Python
  • ETL
  • Kafka
  • NoSQL


  • AWS Certified Big Data - Specialty
  • Google Cloud Professional Data Engineer

Tips for Writing a Better Pinterest Data Engineer Resume

1. Start with a strong summary: Begin your resume with a brief yet compelling summary that highlights your skills, experience, and passion for data engineering. This should give the recruiter an idea of who you are as a professional and what you can bring to their organization.

2. Tailor your resume to the job description: Read the job description carefully and make sure your resume reflects the specific requirements and qualifications mentioned. Use relevant keywords that match the job posting to increase your chances of getting noticed.

3. Highlight your technical skills: As a data engineer, it's crucial to showcase your technical expertise in various programming languages, data processing tools, and database systems. List these skills in a separate section on your resume to make them easily identifiable.

4. Showcase relevant experience: Detail your work history with a focus on experiences that directly relate to the role of a data engineer on Pinterest. Include any projects or accomplishments that demonstrate your ability to design, build, and maintain scalable data pipelines.

5. Quantify achievements: Whenever possible, use numbers and metrics to quantify your accomplishments in previous roles. For example, mention how much you increased efficiency in data processing or how many users you supported through data infrastructure improvements.

6. Emphasize soft skills: While technical abilities are essential for a data engineer role, don't forget to highlight soft skills such as communication, teamwork, problem-solving, and adaptability – all crucial for working effectively within cross-functional teams at Pinterest.

7. Include relevant certifications: If you have any certifications related to data engineering (e.g., AWS Certified Data Engineer), be sure to include them on your resume as they can help establish credibility and expertise in the field.

8. Keep it concise and well-organized: A well-structured resume is easy for recruiters to read and understand quickly. Use clear headings, bullet points when listing achievements or responsibilities under each role, and keep the overall length between one and two pages.

9. Proofread and edit: Carefully review your resume for any spelling, grammar, or formatting errors before submitting it. A polished and error-free resume creates a more professional impression.

10. Use a clean and professional design: Choose a simple, clean, and easy-to-read layout for your resume to make it visually appealing and easy to scan. Avoid using overly creative designs or flashy colors, as they may distract from the content of your resume.

Remember that your resume is often the first impression you make on potential employers, so invest time in crafting an effective document that showcases your skills, experience, and value as a data engineer at Pinterest.

Related: Data Engineer Resume Examples

Key Skills Hiring Managers Look for on Pinterest Data Engineer Resumes

When applying for a Data Engineer position at Pinterest, it is crucial to incorporate keywords from the job description into your application materials. This is because Pinterest, like many other companies, utilizes Applicant Tracking Systems (ATS) to manage their recruitment process. ATS are designed to scan and sort applications based on relevant keywords, which helps hiring managers identify the most suitable candidates for a given role. By including specific terms and phrases mentioned in the job description, such as "data pipelines," "ETL processes," or "big data technologies," you can increase your chances of passing through the ATS filters and catching the attention of the hiring team at Pinterest.

When applying for data engineer positions at Pinterest, you may encounter common skills and key terms such as:

Key Skills and Proficiencies
Data modelingETL (Extract, Transform, Load)
SQL (Structured Query Language)Data warehousing
Big data technologies (Hadoop, Spark)NoSQL databases (MongoDB, Cassandra)
Data integration tools (Talend, Informatica)Data pipeline development
Cloud platforms (AWS, Azure, GCP)Machine learning algorithms
Python programmingJava or Scala programming
Data quality managementReal-time data processing (Kafka, Flink)
Distributed computingData visualization tools (Tableau, Power BI)
Linux/Unix command line and scriptingGit version control system
Performance tuning and optimizationAPI development and integration
Containerization technologies (Docker, Kubernetes)Agile project management

Related: Data Engineer Skills: Definition and Examples

Common Action Verbs for Pinterest Data Engineer Resumes

Crafting a compelling resume can be challenging, particularly when it comes to finding diverse action verbs that accurately showcase your skills and experiences. As a Pinterest Data Engineer, it's crucial to use varied verbs throughout your resume to effectively demonstrate the range of your abilities and accomplishments. Utilizing a wide array of action verbs not only helps you avoid repetition but also enables you to create a more engaging and dynamic resume that stands out amongst other applicants. By carefully selecting the right action verbs, you can emphasize your unique talents as a data engineer and increase your chances of securing an interview with Pinterest.

To provide you with a competitive advantage, we have curated a list of impactful action verbs to enhance your resume and secure your next interview:

Action Verbs
TransformedLoaded (ETL)
Cleaned (data)Validated
Modeled (data)Built (pipelines)
Streamlined (processes)Troubleshot (issues)
Tested (code/systems)Monitored

Related: What does a Data Engineer do?

Editorial staff

Photo of Brenna Goyette, Editor


Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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