Senior Software Engineer – Localization Data Pipelines
Zoox
AWSCloudPython
Finance Data Engineer
Replit
full-time
Posted on:
Location Type: Hybrid
Location: Foster City • California • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $225,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowETLSQL
About the role
- Design, build, and maintain robust ETL/ELT pipelines that ingest data from multiple sources including Stripe, Orb, CRMs/ERPs, and internal databases
- Partner with Engineering and Accounting teams to establish data requirements, ensure accurate financial data capture, and implement revenue recognition logic
- Build and optimize data models in dbt that enable self-service analytics across Finance and cross-functional teams
- Conduct root cause analysis on data discrepancies, validate data sources, and cross-check metrics across systems to ensure accuracy
- Implement automated data orchestration frameworks to streamline data workflows and reduce manual intervention
- Establish data quality frameworks including validation checks, alerting systems, and anomaly detection to proactively identify and resolve data issues
- Create comprehensive technical documentation to improve data literacy and enable teams to leverage data independently
- Stay current on data engineering best practices and emerging technologies to continuously enhance our data infrastructure
- Develop and maintain interactive dashboards and reports using BI tools (BitQuery, Hex, Hashboard, Looker, Power BI) that provide real-time visibility into key financial metrics
- Perform ad-hoc analysis and provide support for key business initiatives and decision-making processes
Requirements
- 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, preferably in SaaS or high-growth tech companies
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related quantitative field
- Strong understanding of data modeling, data warehousing, and ETL processes
- Experience with data orchestration & transformation tools (dbt, Fivetran, Airflow, Dagster)
- Expert-level SQL proficiency with demonstrated experience writing and optimizing complex queries for large-scale datasets
- Experience with BI tools (e.g., BitQuery, Hex, Hashboard, Looker, Power BI) for data visualization and reporting
- Experience working with some Finance data sets and metrics (i.e. Stripe, Orb, ARR, Churn, Unit Economics)
Benefits
- Competitive Salary & Equity
- 401(k) Program
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Commuter Benefits
- Monthly Wellness Stipend
- Autonoumous Work Environement
- In Office Set-Up Reimbursement
- Flexible Time Off (FTO) + Holidays
- Quarterly Team Gatherings
- In Office Amenities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTdata modelingdata warehousingSQLdata orchestrationdata transformationdata analysisdata quality frameworksroot cause analysis
Soft skills
collaborationcommunicationproblem-solvingattention to detailtechnical documentation
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in EngineeringBachelor's degree in Statistics
