Senior Data Engineer

Kiteworks•San Mateo, CA

13h

About The Position

Kiteworks is a highly profitable and growing software company making a meaningful impact in the security and compliance space. Our platform helps organizations securely manage and share sensitive content while meeting strict regulatory requirements. As our data ecosystem continues to grow, we are investing in scalable analytics infrastructure that enables better decision-making across the business. We are looking for a Senior Data Engineer to design, build, and maintain robust data pipelines and analytics systems that power insights across the organization. In this role, you will partner closely with engineering, product, and business teams to ensure reliable data availability, efficient data models, and scalable analytics workflows.

Requirements

4–10 years of experience in analytics engineering, data engineering, or a related data infrastructure role.
Strong experience building and managing ETL/data pipelines in cloud data environments.
Advanced proficiency in SQL and experience working with large datasets in modern data warehouses.
Experience with Matillion, Snowflake, or comparable data pipeline and data warehouse technologies.
Experience using Python for automation, data processing, or data pipeline development.
Strong understanding of data modeling, governance, and data quality practices.
Ability to collaborate effectively with both technical teams and business stakeholders.

Nice To Haves

Experience with Tableau or other BI visualization tools is a plus.
Strong communication skills with the ability to explain technical concepts to both technical teams and executive stakeholders.
A collaborative, solution-oriented mindset and enthusiasm for building impactful data systems together.

Responsibilities

Build and maintain scalable ETL/data pipelines using tools such as Matilliona nd Snowflake (experience with other ETL tools is also relevant).
Develop and maintain API integrations and configure credentials to ingest data from multiple internal and external data sources.
Work with modern data warehouses such as Snowflake, Databricks, or Redshift to support efficient data storage and retrieval.
Design, develop, and optimize SQL queries and transformations to power analytics, reporting, and operational insights.
Partner with cross-functional teams to deliver trusted datasets for product, marketing, finance, and operations.
Establish and promote best practices around data modeling, data governance, and data integrity.
Utilize Python to automate workflows, process data, and enhance ETL pipelines.

Benefits

Medical: Three Cigna plans (PPO250, EPO, HDHP3300); employees pay 10% of premiums for the PPO and EPO plans and no premium contribution for the HDHP plan.
HSA: Company contributes $1,200–$2,400/year for HDHP enrollees
Dental & Vision: Fully employer-paid (Cigna/EyeMed)
FSA: Healthcare FSA ($3,400) and Dependent Care FSA ($7,500)
401(k): 100% match on first 75% of deferred compensation, capped at $5,000; immediately vested
Life & Disability: Fully employer-paid; BasicLife/AD&D (1× salary up to $200K), STD (60% salary for non-CA employees and 20% for CA employees up to $2,500/week), LTD (60% salary up to $12,500/month)
Parental Leave: 8 weeks for non-birthing parents;16 weeks for birthing parents (100% base salary)
FertilityBenefits (Carrot Pro):$10,000 lifetime stipend; some services subject to taxation per IRS
Primary Care: Fully employer-paid membership fee; OneMedical (125+ offices + 24/7 virtual)
EAP: 5 free counseling sessions/year (MetLife and TelusHealth)
PTO: Open/unlimited vacation plan; 10 company holidays