Senior Data Engineer

About the role

As a Senior Data Engineer in our Data and Analytics organization, you'll be a key player at the intersection of technology and business strategy. Leveraging your expertise, you'll design and implement robust data pipelines and warehouses, transforming raw data into actionable insights for informed decision-making.

Collaborating closely with engineering, business, product, and marketing teams, you'll contribute to the design and construction of scalable data pipelines, serving as the backbone for our processing, analytics, and validation infrastructure

In this role you will

• Design improvements and populate additions to our analytics data warehouse
• Combine data from disparate sources into a unified & reliable source of truth
• Enhance data quality by leveraging internal tools/frameworks for automated detection of data quality issues
• Launch and support new data models that provide intuitive analytics for our cross-functional stakeholders
• Collaborate with the Business Intelligence team to guarantee that crucial data is readily accessible to the business

You’ll love this job if you

• Draw deep satisfaction from operating in a high-impact role that affects the entire organization
• Are a self sufficient do-er: someone who enjoys ownership and can proactively and effectively work cross-functionally to make progress
• Are comfortable with the pace and dynamic environment of our actively growing business
• Thrive in a dynamic work environment that fosters continuous learning and growth in the field of data engineering

Qualifications

• 5+ years experience as a Data Engineer or similar, working with large data sets and cloud infrastructure
• Proficiency in SQL and relational databases including queries, database definition, and schema design
• Experience with scripting language, preferably Python for development of data pipelines
• Proficient in utilizing ETL tools, such as Fivetran for efficient data extraction, transformation, and loading processes
• Proficient in leveraging Google Cloud Storage (GCS) as a key component of data storage and retrieval solutions
• Possesses understanding of implementation and management of data pipelines using Apache Kafka
• Experience utilizing ETL tools and frameworks, with a preference for Apache Airflow
• Familiar with the concepts of container based deployment solutions like Docker, Kubernetes
• Excellent written and oral communication skills and ability to articulate technical concepts clearly and succinctly
• In the San Francisco Bay Area or willing to relocate

The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $195,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

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Last updated on Jan 16, 2024