Data Engineering MTS

Job description

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 Software Engineering 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. About Salesforce: - Salesforce has immediate opportunities for software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. We pride ourselves on writing high quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while cultivating everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive. About Team:- Data & Insights team connects people and technology to transform the future of work at Salesforce. Guided by our core values of Trust, Customer Success, Equality, Innovation, and Sustainability, we deliver business outcomes that fuel growth, drive competitive advantage, and empower our employees and customers globally. We are strategic partners, advocating for the best outcomes for our customers, always innovating, and helping to shape the future of work.We oversee technology strategy, customer and partner enablement, applications engineering, infrastructure, collaboration, enterprise operations, architecture, and program enablement. We are Customer Zero, the best example of Salesforce products delivered globally, at scale, sustainably.Salesforce’s Data Engineering team sits alongside our centralized Analytics team, working together closely to ensure we are a data-driven company. Data Engineering is responsible for building and maintaining an infrastructure that powers: Product, Analytics, Marketing, Sales and Operations functions. Data Engineering is a foundational pillar for all of Salesforce and one of the most highly leveraged teams.As a Data Engineer at Salesforce, you’ll be a critical part of the development and enhancement of an innovative data environment by leveraging industry best practices and cutting edge approaches. You’ll collaborate with engineering to nail-down the data infrastructure, and with our business partners across all major functions at the organization to anticipate data needs, and proactively develop data solutions to address the toughest business problems. In short, you'll be building the foundation that allows the rest of the organization to understand our users and turn it into actionable steps to make our product even better and our business run smoother.Our ideal candidate isn’t satisfied until a project is seen through to meaningful impact. If you love working with data and want to see your work impact the entire organization, we want to talk to you!Role Overview: • Contribute to the development and maintenance of automated data pipelines for ingesting, transforming, and delivering analytics datasets. • Work with senior engineers to implement data transformations and models that support reporting and analysis. • Collaborate with data analysts, data scientists, and product teams to understand data requirements and support data flow across systems. • Assist in data modeling and schema implementation to ensure analytics-friendly data structures. • Support data quality checks, validation, and monitoring, helping identify inconsistencies and resolve issues. • Participate in supporting ad-hoc data analysis and queries to help answer business questions. • Learn and adopt best practices in data engineering, including version control, testing, and CI/CD workflows. • Contribute to improving data reliability and documentation under guidance from senior team members. • Leverage AI-assisted tooling and explore building lightweight AI agents or LLM-powered workflows to automate data tasks, accelerate analysis, and improve team productivity. Desired Skills: • 3+ years of experience building, implementing, and maintaining data warehousing and analytics solutions. • Hands-on experience with distributed data processing frameworks such as Spark, Hive, or Iceberg, with a focus on analytics use cases. • Proficiency in SQL, including writing complex queries and supporting performance optimization for anal