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Skills

  • Budgetingunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Mappingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Identify Issuesunmatched
  • JSONunmatched
  • Multitaskingunmatched
  • Onboardingunmatched
  • Operations Processesunmatched
  • Problem Solving Skillsunmatched
  • Process Improvementunmatched
  • Product Engineeringunmatched
  • Project/Program Managementunmatched
  • Reliability Engineeringunmatched
  • Root Cause Analysisunmatched
  • SQL (Structured Query Language)unmatched
  • Sales Managementunmatched
  • Technical Leadershipunmatched
  • Technical Writingunmatched
  • Time Managementunmatched
  • XML (EXtensible Markup Language)unmatched

Description

Title
Data Analyst-II

Location
HQ, USA, CA, San Francisco, 2nd St

Description
Job Description: We are seeking candidates with strong SQL and ETL experience to support merchant data onboarding and pipeline maintenance.
This role is responsible for transforming, validating, and troubleshooting merchant data feeds to ensure accurate ingestion into downstream systems.
The ideal candidate is comfortable working with large datasets, data mapping, transformations, and production troubleshooting.
Responsibilities Build, maintain, and troubleshoot ETL/data pipelines supporting merchant onboarding and integrations.
Analyze merchant data feeds (JSON, XML, CSV, TXT) and transform them into standardized schemas.
Develop and maintain SQL transformations in Databricks (Spark SQL preferred).
Create and maintain data mapping logic and transformation rules. Validate data quality, completeness, and accuracy across ingestion pipelines.
Investigate and resolve data issues, including root cause analysis and remediation.
Collaborate with Technical Account Managers, Product, and Engineering to onboard new merchants and implement data solutions.
Support multiple concurrent merchant implementations while meeting delivery timelines.
Document transformation logic, mapping specifications, and operational procedures.
Identify opportunities to automate manual processes and improve pipeline reliability.

Required Qualifications
2+ years of experience in data engineering, ETL development, or data integration.
Strong SQL skills (Databricks/Spark SQL preferred). Experience building or maintaining ETL/data pipelines.
Experience working with JSON, XML, and CSV Strong understanding of data transformation, schema mapping, and validation.
Experience troubleshooting production data pipelines.
Ability to read and understand technical documentation and data specifications.
Strong analytical and problem-solving skills.
Ability to manage multiple projects simultaneously.
Preferred Qualifications Experience with Databricks.
Experience integrating third-party or merchant data feeds.
Experience with flat-file integrations.

Classification
TAC: Temporary Agency Worker

Start Date
Aug 17, 2026

End Date
Dec 31, 2026

Business Unit
Marketplace

Solution & Requisition Sourcing Type
Vendor Neutral|Sourced

Is this an approved LOA/Backfill Budget Request?
Yes

Intake Call Completion Date
2026-07-29T06:31:00.000

Workday Access - Posting
Yes

Requisition Reason
Original|Open Position

Market
CORP

Laptop
Yes

Job Posting SLA Classification
Professional

Requisition Process Type
Standard

Allow for Remote
Yes

Primary Hours
Standard Business Hours

Business Need
Increase in Workload

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Numbers & Facts

LocationSan Francisco, CA

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