Data Engineer II
Job Description
- Master's degree
- Stakeholder partnership experience
- Project planning and delivery experience
- Large-scale data processing experience
- Unix/Linux experience
- NoSQL and distributed database experience
- Bachelor's degree in related field
- 1+ year experience in Python/Java/C++
- 1+ year ETL pipeline design experience
- 1+ year experience in data analysis and SQL
- Data pipeline and warehouse development
- Bonus
- Equity
- Benefits
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 1 year of experience coding with one or more programming languages (e.g., Python, Java, C/C++).
- 1 year of experience designing data pipelines (ETL) and model data for synch and asynch system integration and implementation.
- 1 year of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, or a related field.
- 1 year of experience partnering with stakeholders (e.g., users, partners, customers).
- 1 year of experience developing project plans and delivering projects on time within budget and scope.
- Experience in large-scale distributed data processing.
- Experience with Unix or GNU/Linux systems.
- Experience designing data models and data warehouses with an understanding of non-relational data storage systems (e.g., NoSQL and distributed database management systems).
About the job
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).
As a Data Engineer on the gUP Engineering team, you will build data-powered decision making tools.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our .
The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Design, develop and support data pipelines, warehouses and reporting systems to solve problems for business operations, users and products.
- Create Extract, Transform, and Load (ETL) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems.
- Collaborate and influence users and products stakeholders, and support engineers to ensure our data infrastructure meets constantly evolving requirements.
- Work closely with data scientists to productionize various statistical and machine learning models using data processing pipelines.
- Write and review technical documents, including design, development, and revision documents.
