Associate Data Engineer

Benefits

Parental leave

26 weeks From the posting source

Non-birth-parent leave

12 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Associate Data Engineer Ireland - Dublin We are seeking an Associate Data Engineer to join the Finance Data Office team at Salesforce. This role supports Finance functions including F&S, RevOps, and others, contributing to data pipelines that power daily operational reporting, monthly close processes, and quarterly earnings reporting. The ideal candidate has foundational SQL and data engineering skills with hands-on experience in Snowflake and dbt, and a desire to grow in a business-oriented data environment. You'll work closely with senior engineers and business partners to build, maintain, and improve key datasets. Responsibilities: Support the maintenance and development of data pipelines in Snowflake and dbtCloud Assist in migrating Alteryx workflows to modern data engineering tools (dbt, Python, Informatica) Help land and wrangle datasets from sources including Salesforce, Coupa, Workday, and Concur Conduct testing and auditing of ELT pipelines to improve accuracy and efficiency Translate business requests into documented data requirements Collaborate with stakeholders to define KPIs and validate data results Conduct proof-of-concept (POC) evaluations of emerging AI and data platform tools to assess feasibility and business value Partner with Finance data teams to enable adoption of new tools and technologies through training, documentation, and hands-on support Establish and promote best practices for tool usage, data development standards, and data platform governance across the Finance data organization Minimum Qualifications: 2-4 years of hands-on experience in data engineering or analytics Proficiency in SQL (test will be administered) Experience with Python, dbt, and Snowflake Strong communication skills and ability to work cross-functionally Curiosity and

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.