{"schemaVersion":"jobsearcher.job.v1","id":"280968ec805c1b33ca136ec8","url":"https://jobsearcher.com/jobs/280968ec805c1b33ca136ec8","canonicalUrl":"https://jobsearcher.com/jobs/280968ec805c1b33ca136ec8","title":"Python Data Engineer","description":"Role description\n\nJob Summary\n\nSeeking a skilled Python Data Engineer with expertise in ETL pipeline design AWS data services and data quality engineering to support scalable data solutions\n\nJob Description\n\nStrong proficiency in Python data engineering using pandas and numpy Design and implementation of ETLdata pipelines that are schemadriven and configurationdriven Data modeling for hierarchical and dimensional data structures Experience with AWS data services including S3 IAM DynamoDB and SSM Expertise in data validation and dataquality engineering Proficient in SQL and working with DatabricksJDBC feeds Knowledge of columnar and analytics file formats such as Parquet and CSV pragmatics Handling and processing of timeseries data Implementing testing and ensuring reproducibility for data code Familiarity with Git GitHub Actions and Terraform for version control and infrastructure as code Integration experience with SageMaker and Chronos endpoints at the interface level Ensuring secure data handling practices throughout the data lifecycle\n\nRoles and Responsibilities\n\nDevelop maintain and optimize ETL pipelines and data workflows following schema and configurationdriven approaches\n\nBuild and maintain data models for hierarchical and dimensional datasets to support analytics and reporting\n\nManage and utilize AWS data services to store secure and process large datasets\n\nPerform rigorous data validation and quality checks to ensure data integrity\n\nCollaborate with crossfunctional teams to integrate SQL queries and DatabricksJDBC data feeds\n\nWork with columnar data formats and optimize data storage and retrieval\n\nHandle timeseries data processing and analysis tasks\n\nWrite unit and integration tests to guarantee reproducibility and reliability of data code\n\nUse version control tools and automation workflows to maintain codebase and infrastructure\n\nSupport integration of machine learning endpoints such as SageMaker and Chronos\n\nImplement and enforce secure data handling and compliance standards\n\nSkills\n\nMandatory Skills : AWS Glue, Python for DATA\n\nOther details\n\nVariable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.\n\nBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):\n\nBenefits and Perks:\n\nComprehensive Medical Plan Covering Medical, Dental, Vision\nShort Term and Long-Term Disability Coverage\n401(k) Plan with Company match\nLife Insurance\nVacation Time, Sick Leave, Paid Holidays\nPaid Paternity and Maternity Leave\n\nThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.\n\nDisclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.\n\nLTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.\n\nBenefits\nCompensation range: $110,000.00 to $130,000.00 per year\nAbout LTM\nLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert","company":"LTM","rawCompany":"ltm","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-25T08:56:03.953Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Data Engineer","description":"Role description\n\nJob Summary\n\nSeeking a skilled Python Data Engineer with expertise in ETL pipeline design AWS data services and data quality engineering to support scalable data solutions\n\nJob Description\n\nStrong proficiency in Python data engineering using pandas and numpy Design and implementation of ETLdata pipelines that are schemadriven and configurationdriven Data modeling for hierarchical and dimensional data structures Experience with AWS data services including S3 IAM DynamoDB and SSM Expertise in data validation and dataquality engineering Proficient in SQL and working with DatabricksJDBC feeds Knowledge of columnar and analytics file formats such as Parquet and CSV pragmatics Handling and processing of timeseries data Implementing testing and ensuring reproducibility for data code Familiarity with Git GitHub Actions and Terraform for version control and infrastructure as code Integration experience with SageMaker and Chronos endpoints at the interface level Ensuring secure data handling practices throughout the data lifecycle\n\nRoles and Responsibilities\n\nDevelop maintain and optimize ETL pipelines and data workflows following schema and configurationdriven approaches\n\nBuild and maintain data models for hierarchical and dimensional datasets to support analytics and reporting\n\nManage and utilize AWS data services to store secure and process large datasets\n\nPerform rigorous data validation and quality checks to ensure data integrity\n\nCollaborate with crossfunctional teams to integrate SQL queries and DatabricksJDBC data feeds\n\nWork with columnar data formats and optimize data storage and retrieval\n\nHandle timeseries data processing and analysis tasks\n\nWrite unit and integration tests to guarantee reproducibility and reliability of data code\n\nUse version control tools and automation workflows to maintain codebase and infrastructure\n\nSupport integration of machine learning endpoints such as SageMaker and Chronos\n\nImplement and enforce secure data handling and compliance standards\n\nSkills\n\nMandatory Skills : AWS Glue, Python for DATA\n\nOther details\n\nVariable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.\n\nBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):\n\nBenefits and Perks:\n\nComprehensive Medical Plan Covering Medical, Dental, Vision\nShort Term and Long-Term Disability Coverage\n401(k) Plan with Company match\nLife Insurance\nVacation Time, Sick Leave, Paid Holidays\nPaid Paternity and Maternity Leave\n\nThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.\n\nDisclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.\n\nLTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.\n\nBenefits\nCompensation range: $110,000.00 to $130,000.00 per year\nAbout LTM\nLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert","datePosted":"2026-10-25T08:56:03.953Z","dateModified":"2026-10-25T08:56:03.953Z","hiringOrganization":{"@type":"Organization","name":"LTM","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"280968ec805c1b33ca136ec8"},"url":"https://jobsearcher.com/jobs/280968ec805c1b33ca136ec8"}}