Senior Data Engineer - Advertising Job at Karkidi in San Francisco
Karkidi, San Francisco, CA, United States, 94199
Discord, an inclusive community for all, invites an experienced data engineer to join our Data team, focusing on our marketing solutions and advertising products. As a Senior Data Engineer, your critical role will involve building and maintaining data pipelines, datasets, and analytical tools. These resources will guide insights and decision-making to revamp our advertising products. We are looking for someone with previous experience in a similar domain who can deliver valuable insights and expertise to optimize our advertising products and strategies.
If harnessing data, creating impact, and teamwork ignites a spark in you, we encourage you to make a move!
What You'll Be Doing
- Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs
- Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost
- Collaborate closely with data science, machine learning, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation
- Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary
- Create scalable dashboards and reports to support business objectives and enable data-driven decision making
- Partner with data scientists, engineers, and product teams to accomplish all of the above!
You Will Thrive In This Role If
- 4+ years of experience building data pipelines in production environments with high volumes of consumer data in marketing solutions and advertising
- 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
- 4+ years of experience writing accurate and effective code in SQL and Python
- Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows)
- Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
- Experience leveraging your excellent communication and stakeholder management skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly
- A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
- Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
- Passion for Discord or gaming in general
- Experience owning and proactively improving the data models for a functional area leveraging deep knowledge of performant scalable patterns
- Experience collaborating directly with data science, machine learning, and product engineering teams
- Experience with modern data storage and processing technologies (i.e. BigQuery SQL, Airflow, and DBT or similar)
- Experience with data visualization and dashboarding technologies (i.e. Looker, Tableau, or similar)
- Experience with designing data architecture to power a variety of use cases, including experimentation
- Experience with external data ingestion processes and technologies
LI-Remote
The US base salary range for this full-time position is $183,000- $201,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
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Discord is an equal opportunity employer that believes diversity inspires creativity and innovation. We are committed to fostering an inclusive environment where employees can do their best work free of harassment or discrimination, regardless of race, ethnicity, religion, gender identity or expression, sexual orientation, age, disability, military status, or any other protected characteristics or identities. We encourage all candidates to apply for roles where they may make the most impact.