Senior Data Engineer: Scalable Analytics & Pipelines
Discord
San Francisco (CA)
On-site
USD 196,000 - 220,500
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Equity
Comprehensive benefits package
Collaborative work environment
Job summary
A leading platform for gaming communication in San Francisco is seeking a Senior Data Engineer to enhance data pipelines and support analytics across the organization. You'll be integral in building robust data systems and collaborating closely with data science and engineering teams. Candidates should have significant experience in data pipeline construction, proficiency in SQL and Python, and a passion for improving data quality and performance. This full-time position offers competitive compensation from $196,000 to $220,500, plus equity and benefits.
Qualifications
4+ years of experience building data pipelines with high volumes of data.
4+ years of experience in designing robust data models.
4+ years of experience writing effective code in SQL and Python.
Experience implementing audits for data quality with large datasets.
Experience identifying opportunities to improve ETL performance.
Excellent communication skills in ambiguous environments.
Responsibilities
Create and maintain data pipelines for analytics and product needs.
Design and build database architectures balancing cost and performance.
Enhance instrumentation coverage with engineering teams.
Implement data quality audits and automated detection systems.
Identify and execute improvements for ETL and dashboard performance.
Build reporting infrastructures supporting analytics across teams.
Skills
Data pipelines in production environments
Designing data models
SQL and Python programming
Data quality auditing
Stakeholder management skills
Experience in collaboration
Tools
BigQuery
Airflow
DBT
Looker
Tableau
Job description
A leading platform for gaming communication in San Francisco is seeking a Senior Data Engineer to enhance data pipelines and support analytics across the organization. You'll be integral in building robust data systems and collaborating closely with data science and engineering teams. Candidates should have significant experience in data pipeline construction, proficiency in SQL and Python, and a passion for improving data quality and performance. This full-time position offers competitive compensation from $196,000 to $220,500, plus equity and benefits.