Senior Software Engineer, Data
$144k - $216kFloQast
As a Senior Software Engineer, Data , you will be a key contributor driving the design, implementation, and optimization of FloQast's core data platform. You will build and scale the critical systems that power data ingestion, storage, processing, and access across our product and analytics pipelines. Working closely with cross-functional teams, you will ensure our data infrastructure remains highly reliable, scalable, and secure, enabling engineering and business operations to build on a solid data foundation.
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.
- 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.
Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day: Unwaveringly Authentic
Ambitious with Integrity Empowered to Grow Committed to Collaboration Customer Obsessed in All Ways Here's Why You Should Apply
- What is engineering working on? Our FQ Engineering Blog showcases a number of our recent efforts straight from the engineers working on them. Check it out! FloQast is regularly rated as a Best Place to Work! - Inc. Magazine's Best Workplaces in 2025, 2024, 2023, 2022, and 2021 - Best Places to Work by LA Business Journal since 2017 (that's 9 years!) - Built In's Best Place to Work in Los Angeles 7 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd.
If this aligns closely with what you are looking for, hit "Apply" and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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