Senior Data Engineer, Reporting & Analytics

Cacheflow; San Francisco (CA); Hybrid; USD 151,700 - 205,300; Full time

Benefits offered by this job

Shared success equity through RSUs

Up to 100% employer-paid premiums for health coverage

401(k) plan and life insurance

Paid parental leave

Flexible vacation policy

Job summary

Cacheflow is seeking a Senior Data Engineer in San Francisco to support their growing data team. This role focuses on building large-scale data products and ensuring data quality while empowering all teams with self-service capabilities.

The ideal candidate should have over 5 years of experience, expertise in Python, and the ability to explain complex data flows. Cacheflow offers a hybrid work environment and a comprehensive rewards package including competitive salary and equity options.

Qualifications

• 5+ years of experience as a data engineer.
• Expertise in writing analytical SQL and building performant queries.
• Fluency in Python.

Responsibilities

• Automate processes in line with the company's automation value.
• Build data products that serve analytics, product and engineering services, and machine learning models.
• Optimize query performance and reduce data ingestion and processing time.

Skills

Data Engineering

Analytical SQL

Python

Machine-learning pipelines

Tools

Snowflake

Airflow

Looker

Job description

Location

Hybrid - San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Job Summary

Drata is looking for a Senior Data Engineer to support the growing data team as we scale to unicorn status. The role focuses on building data products at scale, ensuring data quality, and supporting self‑service for all teams.

What you’ll do

• Automate processes in line with the company's automation value.
• Build data products that serve analytics, product and engineering services, and machine learning models.
• Optimize query performance and reduce data ingestion and processing time.
• Contribute to building the data modeling layer.
• Establish strong data governance processes.
• Develop training and documentation to empower analysts to transform data independently.
• Interview, hire, and train future data engineers.
• Administer data orchestration through modern tools and concepts such as ETL, ELT, reverse ETL, etc.

What you’ll bring

• 5+ years of experience as a data engineer.
• Expertise in writing analytical SQL and building performant queries.
• Fluency in Python.
• Experience with platforms such as Stitch, Fivetran, Snowflake, dbt, Airflow, Airbyte, Looker, Mode, Sigma, Hightouch, Census.
• Clear, concise communication skills.
• Ability to explain complex data flows to non‑technical stakeholders.
• Bonus: experience building machine‑learning pipelines.
• Curiosity and investigative mindset.
• Comfort in a fast, high‑growth startup environment.

How we support you

We provide a comprehensive rewards package that includes equity, health benefits, financial wellness tools, family support, growth opportunities, and flexible time off policies.

• Shared success equity through RSUs.
• Up to 100% employer‑paid premiums for medical, dental, and vision coverage for employees and their dependents.
• 401(k) plan, life and disability insurance, tax‑advantaged spending accounts, and discounted voluntary offerings.
• Paid parental leave policy after six months of employment and fertility and family‑building benefits.
• Annual stipends for professional and personal development and internal learning opportunities.
• Flexible vacation policy, paid holidays, and other perks.

This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). Salary range: $151,700 - $205,300. Compensation may vary based on experience and role leveling.