{"id":2084549,"url":"https://alion.io/job/caterpillar-data-engineerdata-scientist-","title":"Data Engineer(Data Scientist )","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":27,"ghost_share":0,"stale_share":0.963,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-10-08T11:36:50Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-15T11:13:50Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen 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.\nYour Impact Shapes the World at Caterpillar Inc\nWhen 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.\nJob Summary\nWe are seeking a skilled Data Engineer(Data Scientist) to join our Pricing Analytics - Enterprise Strategy - Global Financial Division Team .\nThe preference for this role is to be based out of Brigade World Trade Center Office, Chennai, India\nWhat You Will Do:\nAs a Data Engineer on the Global Parts Pricing Data Engineering team, you will design and build scalable data platforms, pipelines, and cloud solutions that power pricing decisions across a global business. You will solve complex data challenges, transform diverse data sources into trusted and actionable insights, and deliver solutions that drive significant business outcomes. Working alongside data scientists, analysts, and business stakeholders, you will develop high-performance data products, automate critical processes, and help shape the future of data and AI-driven pricing determination.\nBuild infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources \nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability \nPerform debugging, troubleshooting, modifications and testing of integration solutions \nOperationalize the developed jobs, processes and models. \nCreate databases and infrastructure to process data at scale \nCreate solutions and methods to monitor systems and solutions \nAutomate code testing and pipelines \nEngage with business partners to participate in design and development of data integration/transformation solutions per functional requirements. \nEngage and actively seek industry perspectives through, continuous learning, peer groups, etc.\nWhat You Will Have:\nData Pipeline Development: Ability to design, build, and optimize scalable batch and real-time data pipelines that deliver trusted, high-quality data for analytics, reporting, and AI applications. \nCloud Data Engineering: Experience with cloud-based data platforms, storage, and processing technologies; ability to develop resilient, scalable, and secure data solutions. \nData Modeling & Integration: Knowledge of data modeling, transformation, and integration techniques; ability to consolidate diverse data sources into well-governed, consumable data products. \nData Observability & Quality: Experience implementing data quality frameworks, monitoring, testing, and automated validation to ensure reliable and trusted data assets. \nCollaboration & Business Impact: Ability to partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation, and AI-enabled outcomes. \nTop Candidates Will Have:\nExtensive experience in designing and developing software applications in Python. \nExperience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc) \nExtensive experience working with Git version control \nExtensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc. \nExperience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS \nExperience with databases such as PostgreSQL, Snowflake, Oracle, etc. \nDemonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.\nThe position requires the candidate to work a 5-a day -week schedule in the office\nShift Timing: EMEA Shift :01:00PM -10:00PM IST\nSkills desired:\nBusiness Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.\nLevel Working Knowledge: \nExplains the basic decision process associated with specific statistics.\nWorks with basic statistical functions on a spreadsheet or a calculator.\nExplains reasons for common statistical errors, misinterpretations, and misrepresentations.\nDescribes characteristics of sample size, normal distributions, and standard deviation.\nGenerates and interprets basic statistical data. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: \nEvaluates and makes contributions to best practices.\nProcesses large quantities of detailed information with high levels of accuracy.\nProductively balances speed and accuracy.\nEmploys techniques for motivating personnel to meet or exceed accuracy goals.\nImplements a variety of cross-checking approaches and mechanisms.\nDemonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: \nApproaches a situation or problem by defining the problem or issue and determining its significance.\nMakes a systematic comparison of two or more alternative solutions.\nUses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.\nIdentifies the major forces, events and people impacting and impacted by the situation at hand.\nUses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: \nCompletes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.\nUtilizes specific tools and techniques to process descriptive and inferential statistics.\nApplies specific computing languages and tools in machine learning, such as R and Python.\nExplores to use machine learning in one own areas to make business improvements.\nConducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: \nParticipates in the implementation and support of specialized programming languages.\nConducts basic reviews on writing a specific programming language within a specific platform.\nAssists with the design and development of specialized programming languages.\nFollows an organization's standards, policies and guidelines for structured programming specifications.\nDiagnoses and reports minor or routine programming language problems. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Working Knowledge: \nDefines, creates and tests simple queries by using associated command language in a specific environment.\nApplies appropriate query tools used to connect to the data warehouse.\nObtains and analyzes query access path information and query results.\nEmploys tested query statements to retrieve, insert, update and delete information.\nWorks with advanced features and functions including sorting, filtering and making simple calculations. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: \nFollows policies, practices and standards for determining functional and informational requirements.\nConfirms deliverables associated with requirements analysis.\nCommunicates with customers and users to elicit and gather client requirements.\nParticipates in the preparation of detailed documentation and requirements.\nUtilizes specific organizational methods, tools and techniques for requirements analysis.\nWhat you will get:\nWork Life Harmony\nEarned and medical leave.\nRelocation assistance\nHolistic Development\nPersonal and professional development through Caterpillar ‘s employee resource groups across the globe\nCareer developments opportunities with global prospects\nHealth and Wellness\nMedical coverage -Medical, life and personal accident coverage\nEmployee mental wellness assistance program\nFinancial Wellness\nEmployee investment plan\nPay for performance -Annual incentive Bonus plan.\nAdditional Information:\nCaterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers\nCaterpillar is an Equal Opportunity Employer (EEO)\nEEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.\nThis position requires working onsite five days a week.Visa Sponsorship is not available for this position.Posting Dates:\nCaterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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