Senior Software Engineer Data

What You'll Do

Data Platform Development: Contribute to the design and implementation of scalable reliable data pipelines storage solutions and efficient access layers using modern cloud-native technologies.
Pipeline Execution: Build optimize and maintain core data platform components including event streaming infrastructure lakehouse storage layers and both batch and streaming ETL workflows.
Data Quality & Security: Implement best practices for data quality data lineage and access controls to ensure robust security regulatory compliance and overall trust in our data assets.
Cross-functional Collaboration: Work closely with Product Analytics Infrastructure and Security teams to deliver data capabilities that support team-specific and organizational goals.
Team Mentorship: Provide technical guidance and code reviews for other engineers on the team helping to champion clean code consistent engineering standards and platform stability.
Performance & Observability: Evaluate test and integrate new tools and technologies that actively improve data pipeline performance systems observability and overall cost efficiency.

What You'll Bring

7+ years of software engineering experience with a strong background in data infrastructure distributed systems or backend data platform engineering.
Proven experience building and maintaining production-grade data pipelines at scale (e.g. handling large data volumes optimizing job execution and ensuring data reliability).
Strong hands-on experience with modern data ecosystem tools such as Snowflake dbt Kafka Airflow Spark and cloud-native services (e.g. AWS GCP or Azure).
Experience building and integrating APIs and services for data ingestion access and pipeline observability.
Good understanding of secure data handling including familiarity with enterprise-grade security practices and data privacy considerations (such as SOC2 or GDPR).
Strong communication and collaboration skills with a track record of partnering successfully across engineering and analytics teams.
Experience working within a startup or high-growth SaaS environment is highly preferred.
Exposure to or interest in AI/ML data pipelines or real-time analytics architectures.

What We Do

By automating and streamlining common accounting workflows to make them more efficient FloQast is where accounting teams want to work so they can focus on what matters most even when that’s just logging off on time. Whether automating reconciliations documentation requests or streamlining recurring accounting processes such as the month-end close financial reporting or payroll FloQast's platform enhances the way accounting teams already work to help them operate more efficiently.

Why Work With Us

Our cloud-based AI-enhanced software is trusted by more than 3000 accounting teams including those at Twilio Gong Instacart and The Golden State Warriors - and still growing! We aspire to forever elevate accounting and improve both the practice and perceptions of the profession.

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