Data Engineer, Play Data Science and Analytics
Location: Mountain View
Posted on: June 23, 2025
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Job Description:
Minimum qualifications: Bachelors degree in Computer Science,
Mathematics, a related field, or equivalent practical experience.
10 years of experience coding with SQL or one or more programming
languages (e.g., Python, Java, R, etc.) for data manipulation,
analysis, and automation 8 years of experience designing data
pipelines (ETL) and dimensional data modeling for synchronous and
asynchronous system integration and implementation. Experience in
managing troubleshooting technical issues, and working with
Engineering and Sales Services teams. Preferred qualifications:
Master’s degree in Engineering, Computer Science, Business, or a
related field. Experience with cloud-based services relevant to
data engineering, data storage, data processing, data warehousing,
real-time streaming, and serverless computing. Experience with
experimentation infrastructure, and measurement approaches in a
technology platform. Experience with data processing software
(e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce,
Flume). About the job In this role, you will work with various Data
Science and Analytics (DSA) teams and upstream analytics
engineering teams to design and build data marts that will empower
and accelerate the DSA team and its stakeholders. You will possess
an understanding of data scientists and their data requirements and
have expertise in architecting data marts, designing and
implementing necessary data pipelines, and establishing governance
and quality processes to guarantee data availability, usability,
and accuracy.The US base salary range for this full-time position
is $180,000-$267,000 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. Responsibilities Conceptualize and own
the build out of problem-solving data marts for consumption by data
science and BI teams, evaluating design and operational
cost-benefit tradeoffs within systems. Design, develop, and
maintain robust data pipelines and ETL processes using data
platforms for the Play Store organizations centralized data
warehouse. Create or contribute to frameworks that improve the
efficacy of logging data, while working with the Data
Infrastructure Engineering team to triage issues and resolve them.
Validate data integrity throughout the collection process,
performing data profiling to identify and comprehend data
anomalies. Influence product and cross-functional (engineering,
data science, marketing, strategy) teams to identify data
opportunities to drive impact.
Keywords: , Union City , Data Engineer, Play Data Science and Analytics, IT / Software / Systems , Mountain View, California
