FastSpring - Staff Data Engineer
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Requirements
• Experience: 5+ years of data engineering experience in a high-growth SaaS environment. • Real-Time Messaging: Expert-level experience with message brokers and streaming platforms such as Apache Kafka, Amazon Kinesis, or Google Pub/Sub to manage high-throughput transactional data. • Real-Time Messaging: • Apache Kafka • Amazon Kinesis • Google Pub/Sub • Data Transformation: Proficiency with real-time and batch transformation tools, specifically dbt (data build tool) for managing Snowflake logic and Apache Flink or Spark Streaming for in-flight processing. • Data Transformation: • dbt (data build tool) • Apache Flink • Spark Streaming • Snowflake Ecosystem: Deep architectural knowledge of Snowflake, including experience with Snowpipe for continuous ingestion, streams, and tasks for change data capture (CDC). • Snowflake Ecosystem: • Snowflake • Snowpipe • Database Internals: Strong understanding of schemas and data pipelines, with specific experience extracting data from large-scale relational databases (Postgres/MySQL) via CDC tools like Debezium. • Database Internals: • Debezium • Technical Proficiency: Mastery of SQL and Python for building automated, scalable data movement and transformation workflows. • Technical Proficiency: • Python • Data APIs: Proven experience designing and maintaining Data APIs to expose warehouse insights to external or internal customers. • Data APIs: • Data APIs • Business Intelligence: Familiarity with business intelligence tools such as Looker. • Business Intelligence: • Looker • Communication: Exceptional ability to synthesize complex technical concepts and communicate them clearly to stakeholders, including the Senior Data Product Manager and executive leadership. • Communication: • Payments Domain: (Preferred) Experience with the data structures associated with payment processors, gateways, and card networks. • Payments Domain: • Consistent with FastSpring's values and applicable law, we provide the following information to promote pay transparency and equity. The base pay range below represents a good faith estimate of the low and high end base pay range for the listed position. This role may be eligible for the corporate bonus plan (or, if a sales role, a commission plan as defined in the sales incentive plan document). In addition, FastSpring provides a variety of benefits to employees.
Responsibilities
• Architect and Implement: Lead the design and construction of a next-generation data warehouse optimized for improved efficiency, performance, and massive scale. • Architect and Implement: • Real-Time Data Ingestion: Build and maintain robust data pipelines for real-time ingestion from large-scale production transactional databases containing hundreds of millions of rows. • Real-Time Data Ingestion: • Stream Processing: Develop real-time data transformation layers to ensure the data warehouse reflects live business activity, enabling "up-to-the-minute" analytics for our ecosystem. • Stream Processing: • Technical Roadmap: Partner with the Senior Data Product Manager to define, evangelize, and execute a data roadmap that meets both internal and external customer needs. • Technical Roadmap: • Technical Leadership: Research and select appropriate technical solutions, coordinate delivery with dedicated agile teams, and champion engineering best practices. • Technical Leadership: • Validation & Metrics: Rigorously test and validate data integrity, establishing and measuring success metrics for system performance and data reliability. • Validation & Metrics: • Collaboration: Work closely with stakeholders to develop technical business cases for new initiatives, ensuring alignment across the development organization. • Collaboration:
Benefits
• $190,000—$212,000 USD • FastSpring is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer. Candidates are considered for employment with FastSpring without regard to their race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, veteran status (specifically status as a disabled veteran, special disabled veteran, Vietnam Era veteran, recently separated veteran, armed forces service medal veteran, or other protected veteran) or other classification protected by applicable federal, state or local law.
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