Senior Data Engineer II – Salesforce

🕒 May 20

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Smartsheet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

☁️ SaaS

⚡ Productivity

🤝 B2B

SaaS • Productivity • B2B

Smartsheet is a platform designed to manage projects, automate workflows, and build solutions at scale. It offers a wide range of features including automation, team collaboration, dashboards and reporting, and integrations, allowing businesses to streamline their operations. The platform caters to diverse use cases such as project management, IT portfolio management, marketing management, and more, serving various industries including government, finance, and healthcare. Smartsheet also emphasizes security and data protection, ensuring users' data privacy. Additionally, it offers professional services like consulting, training, and implementation support to maximize the platform's capabilities.

📋 Description

• Create scalable ETL/ELT pipelines to move and transform data between Salesforce and platforms like Snowflake or NetSuite. • Use Salesforce APIs (REST, SOAP, Bulk) and tools like Boomi, MuleSoft, or Python to maintain integrations. • Use Apache Airflow for scheduling and Salesforce Flow for event-driven automation. • Design and maintain relational and dimensional data models. • Develop dbt models to prepare datasets for Sales, Marketing, and Revenue teams. • Maintain a deep understanding of Salesforce’s custom and standard object models. • Monitor pipeline performance to meet SLAs and minimize data delays. • Enforce standards for data cleansing, deduplication, and validation. • Document data lineage and ownership policies to ensure proper data management. • Prepare data for tools like Tableau and Power BI to power dashboards and forecasts. • Partner with Salesforce admins, analysts, and RevOps to gather requirements and provide technical guidance. • Engage in sprint planning, code reviews, and technical design within an Agile framework.

🎯 Requirements

• 8+ years of experience in data engineering, with at least 4 years specifically working with Salesforce data. • Strong data modeling skills (relational, dimensional and flattened). Strong analytical and SQL skills, with attention to detail • Must have data engineering experience with 1 or more non-SQL languages like Python, Scala or Java • Hands-on experience with Salesforce APIs (REST, SOAP, Bulk API) and tools such as Data Loader or Salesforce Connect. • Experience with at least one cloud data warehouse: Snowflake, Google BigQuery, or Amazon Redshift. • Familiarity with dbt (data build tool) for transformation and data modelling. • Familiarity with both established and emerging data technologies and the ability to evaluate and ascertain their applicability • Strong communication skills in English, with the ability to collaborate across global time zones. • Self-driven and highly dependable in an agile and results-oriented environment

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options