Salesforce

4 weeks ago

ES Data Ops Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Develop and scale the data foundations for Salesforce’s ES HR Operations. Build data models, backend pipelines, and automated quality checks to track HR service delivery metrics (case lifecycles, CSAT, escalation rates). Design local schemas for HR reporting, create secure data connections via APIs, and enforce data governance and PII practices while partnering with the HR Data Product Engineering team to ingest upstream datasets.

Location: Indianapolis, Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Reimagine, design, and build data models for HR service delivery, owning backend pipelines for KPIs such as case management lifecycles, CSAT, escalation rates, severity distributions, and Cost to Serve
•Design and implement local data models, schemas, and staging areas tailored for agile HR Operations reporting and insights
•Develop and maintain operational data pipelines using clean, production-grade SQL and Python to apply HR business logic and transform raw data into action-ready datasets
•Build and support secure data connections, webhooks, and APIs to sync operational data across internal HR platforms and tools (e.g., ticketing systems, HRIS)
•Transition the team to proactive automated continuous monitoring — designing and deploying data quality scripts and scheduled test suites that flag anomalies and data issues

Pay and Benefits

Perks:Health Insurance401kEquity

Key Requirements

•4–6 years of experience in data operations, data engineering, or a highly technical business intelligence role
•Experience modeling complex operational workflows (e.g., ticketing, customer support, case management) into structured analytics tables
•Proven experience building data validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts)
•Strong SQL and Python proficiency for automated workflows and data transformations
•Familiarity with cloud data platforms (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow), and integrating data via REST APIs

Experience:4-6 yearsData analyticsHR operationsData engineering

Skills:SQLPythonData modelingData pipelinesETLREST APIsAirflowSnowflakeBigQueryData governancePII protection

Tech Stack:SQLPythonSnowflakeBigQueryAirflowREST APIs

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: 4.1

Website LinkedIn Glassdoor

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Salesforce

4 weeks ago

ES Data Ops Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Indianapolis, Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Reimagine, design, and build data models for HR service delivery, owning backend pipelines for KPIs such as case management lifecycles, CSAT, escalation rates, severity distributions, and Cost to Serve
•Design and implement local data models, schemas, and staging areas tailored for agile HR Operations reporting and insights
•Develop and maintain operational data pipelines using clean, production-grade SQL and Python to apply HR business logic and transform raw data into action-ready datasets
•Build and support secure data connections, webhooks, and APIs to sync operational data across internal HR platforms and tools (e.g., ticketing systems, HRIS)
•Transition the team to proactive automated continuous monitoring — designing and deploying data quality scripts and scheduled test suites that flag anomalies and data issues

Pay and Benefits

Perks:Health Insurance401kEquity

Key Requirements

•4–6 years of experience in data operations, data engineering, or a highly technical business intelligence role
•Experience modeling complex operational workflows (e.g., ticketing, customer support, case management) into structured analytics tables
•Proven experience building data validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts)
•Strong SQL and Python proficiency for automated workflows and data transformations
•Familiarity with cloud data platforms (e.g., Snowflake, BigQuery), orchestration tools (e.g., Airflow), and integrating data via REST APIs

Experience:4-6 yearsData analyticsHR operationsData engineering

Skills:SQLPythonData modelingData pipelinesETLREST APIsAirflowSnowflakeBigQueryData governancePII protection

Tech Stack:SQLPythonSnowflakeBigQueryAirflowREST APIs

Company Brief

Salesforce

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: 4.1

Website LinkedIn Glassdoor