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Career Area Technology, Digital and Data Job Description Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands-on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential. This role requires strong problem-solving abilities and a proactive mindset to deliver efficient, scalable, and reliable data solutions. ________________________________________ Key Responsibilities Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR. Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling. Write efficient and reusable code in Python and SQL for data transformation and processing. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements. Monitor, troubleshoot, and improve pipeline performance and reliability. Ensure data quality, integrity, and security across all stages of the pipeline. Participate in code reviews, architecture discussions, and continuous improvement initiatives. ________________________________________ Required Qualifications 5-8 years of experience in data engineering or related roles. Strong hands-on experience with AWS cloud services, including data and AI workloads. Deep understanding of Snowflake architecture, performance tuning, and best practices. Advanced proficiency in Python and SQL for data pipelines, transformations, and services. Strong understanding of graph and vector data modelling concepts and their practical applications. Experience developing and operating CI/CD pipelines (GitHub Actions)and cloud native deployments. Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ________________________________________ Nice to Have skills Knowledge of the NVIDIA ecosystem and its applications in data and AI. Hands on experience with Vector (Milvus or similar) and Graph (Neo4J or similar) databases ________________________________________ Preferred Qualifications Experience with orchestration tools such as AWS Step Functions. Familiarity with data governance and compliance practices. Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming). This position requires working onsite five days a week. Relocation is available for this position. Posting Dates August 7, 2026 - August 20, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.