Data Engineer

Salesforce
Seattle
Workplace: OnsiteFull timeUSD 99,400 - 150,300 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5-7 yearsSkills: ["Communication","Cross-functional collaboration","Data curiosity","Structured problem-solving","Attention to accuracy"]

Build and improve Finance data pipelines that power daily operational reporting, monthly close, and quarterly earnings workflows. You’ll work with Snowflake, Airflow, and dbt Cloud/Core to maintain ELT processes, migrate legacy systems, and test/audit pipeline outputs. Partner with Finance data teams and stakeholders to translate business requests into data requirements, define KPIs, and evaluate emerging AI/data platform tools while promoting data standards and governance.

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FursaFursa
Salesforce
Salesforce
2 hours ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and improve Finance data pipelines that power daily operational reporting, monthly close, and quarterly earnings workflows. You’ll work with Snowflake, Airflow, and dbt Cloud/Core to maintain ELT processes, migrate legacy systems, and test/audit pipeline outputs. Partner with Finance data teams and stakeholders to translate business requests into data requirements, define KPIs, and evaluate emerging AI/data platform tools while promoting data standards and governance.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Maintain and develop data pipelines in Snowflake, Airflow, and dbt Cloud.
  • •Assist in migrating legacy data processes to dbt, Python, Airflow, and Informatica.
  • •Ingest, land, and wrangle datasets from Salesforce, Coupa, Workday, and Concur sources.
  • •Test and audit ELT pipelines to improve accuracy and efficiency.
  • •Translate business requests into documented data requirements and collaborate on KPIs/validation; evaluate AI/data platform tools and support Finance tool adoption via training and documentation.

Pay and Benefits

Salary: USD 99,400 - 150,300 annually
Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •5-7 years of hands-on experience in data engineering or analytics.
  • •Proficiency in SQL (a test will be administered).
  • •Experience with Python, dbt Cloud/dbt Core, Airflow, and Snowflake.
  • •Experience with CI/CD pipelines and GitHub.
  • •Strong communication skills and ability to work cross-functionally.
Experience:5-7 years
Skills:CommunicationCross-functional collaborationData curiosityStructured problem-solvingAttention to accuracy
Certifications:Dbt Certification
Tech Stack:SQLSnowflakeAirflowDbt CloudDbt CorePythonInformaticaELTGitHubCI/CDTableauClaudeCursorSnowflake CoCoSemantic layerKnowledge graphsSalesforceWorkdayCoupaConcur

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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