Senior Data Engineer
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Job Description
What Makes You a Great Fit:
We are looking for a Sr. Analytics Engineer to join our dynamic BI team. You will use your expertise in data analytics, data modeling, transformation, and reporting to deliver scalable, reliable, and insightful data solutions. You will shape our analytics infrastructure, guide data-driven decision-making, and ensure that teams across the organization have access to accurate data. This position is ideal for someone who loves transforming raw data into actionable insights and building reporting solutions that empower teams and meet the needs of multiple partners.
This role requires in office presence in our Palo Alto office.
How You'll Make an Impact:
- Investigate system data issues and perform data cleanup across multiple data sources.
- Develop automation solutions for data manipulation tasks, improving efficiency and accuracy.
- Collaborate with teams to meet data requirements for different departments.
- Gain expert-level knowledge of our data systems, ensuring data quality and integrity.
- Create ETL processes from different data sources, analyzing data completeness and accuracy.
- Work with the Business Intelligence team to provide clean datasets and support data-intensive applications.
- Design and implement machine learning model test and deployment strategies.
- Contribute to the implementation of engineering best practices, including unit tests and integration tests in a CI/CD environment.
- Help develop data-intensive web applications within a microservices architecture.
Let's Connect If You:
- 5+ years of experience in an analytics engineering, data engineering, or similar role.
- 3+ years hands-on experience with dbt for data transformation.
- Proficiency in SQL and with building reports and dashboards using Looker, Tableau, or Power BI.
- An understanding of data modeling concepts and best practices for building scalable reporting solutions.
- Experience collaborating with teams to create data solutions that meet our needs.
- Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, and Monte Carlo)
- Experience communicating updates and resolutions to customers and other partners and experience turning complex data into easy-to-understand insights.
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