DoorDash
Software Engineer, Data Engineering
US · Mid · Contract
Sponsorship not specified$118k-$173kDetected 5 days ago
PythonJavaData StructuresSQLPostgreSQLSnowflakeRedshiftAWSGCPKafkaSparkAirflowData EngineeringData VisualizationLogisticsCommunication
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 73 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 53%
Of 34 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 481 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
125 transfer filings in the last year, covering 125 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Data is at the foundation of DoorDash success.
- By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
- DoorDash is looking for a Software Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
Responsibilities
- 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
- Manage a portfolio of data products that deliver high-quality, trustworthy data
- Help onboard and support other engineers as they join the team
Requirements
- Work with engineering, product teams and 3rd parties to collect required data
- You have 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/Java
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Knowledge of reporting tools such as Tableau, Superset and Looker
- Ability to think strategically, analyze and interpret market and consumer information
- You must be located near one of our engineering hubs indicated above
Skills
- Expert in Database fundamentals, SQL and distributed computing
- Excellent communication skills and experience working with technical and non-technical teams
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.
- In addition to base salary, the compensation for this role includes opportunities for equity grants.
- flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles:
Benefits
- DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
- To learn more about our benefits, visit our careers page here.
- See below for paid time off details:
Company info
- The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting.
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This listing is sourced directly from DoorDash's careers page and normalized into a canonical job model.