Software Engineer II, Data Engineering

Doordashusa

San Francisco (CA)

On-site

USD 130,600 - 192,000

Full time

14 days+

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Benefits offered by this job

401(k) plan with employer matching
16 weeks paid parental leave
Medical, dental and vision benefits
Paid time off and sick leave
Equity grants opportunities

Job summary

Doordashusa is seeking a Software Engineer II to enhance data infrastructure and automation. This role involves collaborating with various teams to meet data requirements and developing robust data models and pipelines. Ideal candidates should have 3+ years in data engineering and proficiency in programming languages like Python or Java.

Additional qualifications include expertise in ETL orchestration and distributed data technologies. A competitive compensation package, including equity opportunities, is also offered.

Qualifications

  • 3+ years of professional experience in data engineering or similar role.
  • Expertise in database fundamentals and distributed data environments.
  • Proficiency in using AI coding tools within the software development lifecycle.

Responsibilities

  • Work with business partners to gather data requirements.
  • Develop large scale data models and pipelines.
  • Improve reliability of ETL processes.

Skills

Data engineering
ETL orchestration
Python
SQL
Cloud platforms (AWS, GCP)
Data modeling
Distributed computing
Kafka
Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow
Snowflake
Redshift

Job description

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures, this team serves as the foundation for decision‑making at DoorDash.

About the Role

DoorDash is looking for a Software Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You will…
  • Work with business partners and stakeholders to understand data requirements
  • Work with engineering, product teams and 3rd parties to collect required data
  • Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
  • Develop and implement data quality checks, conduct QA and implement monitoring routines
  • Improve the reliability and scalability of our ETL processes
  • Manage a portfolio of data products that deliver high‑quality, trustworthy data
  • Help onboard and support other engineers as they join the team
We're excited about you…
  • 3+ years of professional experience working in data engineering, business intelligence, or a similar role
  • Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
  • Proficiency in programming languages such as Python or Java
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS or GCP
  • Expertise in database fundamentals, SQL and distributed computing
  • 3+ years of experience with the distributed data ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka or Flink
  • Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
  • Excellent communication skills and experience working with technical and non‑technical teams
  • Knowledge of reporting tools such as Tableau, Superset and Looker
  • Comfortable working in a fast‑paced environment, self‑starter and self‑organizing
  • Ability to think strategically, analyze and interpret market and consumer information
  • Must be located near one of our engineering hubs
Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants.

  • $130,600 — $192,000 USD for location I4
  • $159,800 — $235,000 USD for location I5
  • $193,800 — $285,000 USD for location I6
Benefits

DoorDash offers a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws. DoorDash also offers medical, dental and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program.

Paid time off details:

  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
Equal Opportunity Employer

We are an equal opportunity employer and do not discriminate on the basis of race, color, ancestry, national origin, religion, age, gender, marital or domestic partner status, sexual orientation, gender identity or expression, disability status or veteran status.

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