Senior Software Engineer, Data

Floqast; San Jose (CA); On-site; USD 144,000 - 216,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life & Disability Insurance

Unlimited Vacation

Job summary

FloQast is seeking a Senior Software Engineer, Data in San Jose, California to drive the design, implementation, and optimization of our core data platform. You will collaborate with cross-functional teams to ensure data infrastructure reliability and scalability.

The ideal candidate has 7+ years of experience in software engineering, particularly in data infrastructure and distributed systems. A strong understanding of modern data ecosystem tools is crucial. A competitive benefits package is included with the position.

Qualifications

• 7+ years of software engineering experience.
• Experience building production-grade data pipelines at scale.
• Hands-on experience with modern data ecosystem tools.

Responsibilities

• Contribute to design and implementation of data pipelines.
• Build and maintain core data platform components.
• Implement best practices for data quality and security.

Skills

Software engineering experience

Data infrastructure

Distributed systems

Backend data platform engineering

Communication skills

Collaboration skills

Tools

Snowflake

dbt

Kafka

Airflow

Spark

AWS

GCP

Azure

Job description

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.

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.

This job posting is for our Senior Software Engineer, Data the base pay range for this position is $144,000 - $216,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, and Unlimited Vacation. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company’s discretion to determine what pay is provided to a candidate within the range associated with the role.

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.