Senior Data Engineer

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. As a global company that’s innovating at the speed of light, we are seeking a senior data/analytics engineer to join the Finance Data Office team helping our organization scale with this incredible growth. This role supports across all Finance functions, driving cross-functional process improvement, and scale to support F&S, RevOps, and several others. We are responsible for data pipelines feeding daily ops reporting companywide, monthly close throughout Finance, & quarterly earnings up to Investor Relations. The ideal candidate will have SQL expertise in data & analytics engineering and automation, with hands-on experience with long and wide data sets. The candidate is expected to bring new ideas on improving processes and additional technologies we can use as a data organization. The candidate will be in dbtCloud and Snowflake managing and building a variety of key datasets. Also, as the data landscape evolves, you’ll be responsible for migrating various parts of our data ecosystem. Finally, you will have the opportunity to build relationships with a range of talented teams and work with amazing individuals by collaborating to deliver measurable business impact. Responsibilities Landing and wrangling large data sets using Salesforce, SQL/Snowflake, and Python to identify, quantify and monitor financial and/or operational risks in financial and companywide processes Managing and building complex multi-source data sets while ensuring refresh accuracy and timeliness Migrating and rebuilding data infrastructure from an evolving tool landscape Conduct end to end testing, auditing ELT pipelines/data curations to improve the runtime, accuracy, efficiency, and cost. Develop and refine data curations to eliminate manual work Collect and translate business requests into documented requirements and scalable data models Migrating various data workflows to standardized data engineering tools (dbt, Informatica, python) Collaborate with multiple stakeholders and personas to define KPIs, align on approaches, and audit data results ensuring we provide holistic completeness and accuracy Our organization is embedded within Finance, as such we are expected to broadly understand the processes, goals, and strategies to help operators overcome data limitations, get to insight faster, provide time savings, and other forms of ROI Minimum Qualifications 8 yrs of hands-on experience in Operations, Finance, and Data Management in analytics, reporting, data analysis and aggregation Advanced in SQL authoring, editing and optimization (test will be administered) API calls knowledge with Python, VM, Airflow, Google App Script, Alteryx, and experience transforming data with dbt Knowledgeable of Data Science and statistical techniques Hands-on large company experience in managing data integrations and data pipelines Hands-on large company experience in building new processes in an undefined environment Ability to connect the data between business processes Creative in approaches to problem solving Knowledge and understanding of data governance Passion and love for data/new technology is a must, as well as understanding industry trends Ex ... (truncated, view full listing at source)