{"schemaVersion":"jobsearcher.job.v1","id":"a6d583b496cd443b54856abc","url":"https://jobsearcher.com/jobs/a6d583b496cd443b54856abc","canonicalUrl":"https://jobsearcher.com/jobs/a6d583b496cd443b54856abc","title":"Senior Snowflake Data Engineer","description":"Role description\r\nSenior Snowflake Data Engineer\r\nLocation Richardson TX Onsite\r\nWe are looking for a Senior Data Platform Engineer Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumptionready models in Snowflake and build AIpowered agents that surface intelligence across the platform\r\nCore Responsibilities\r\nSnowflake engineering Design schemas write performant SQL manage roles warehouse sizing and implement change management practices\r\nETL ELT development Build and maintain pipelines that ingest from diverse sources APIs databases event streams and normalize data for BI and downstream consumers\r\nAI agent development Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows\r\nBackend API connectivity Develop backend integrations with internal and thirdparty systems via REST APIs and backend services\r\nRequired Skills\r\nSnowflake Handson experience building and optimizing data models writing advanced SQL PIVOT GROUPING SETS ROLLUPCUBE and managing Snowflake environments in production\r\nMultisource integration Proven ability to connect and ingest data from heterogeneous sources including relational databases REST APIs SaaS platforms and event streams\r\nETL ELT design Experience designing normalized schemas and transformation pipelines that produce clean consumptionready data models starsnowflake schema dimensional modeling\r\nPython Strong proficiency in Python for data engineering tasks pipeline orchestration data transformation API clients and scripting automation\r\nAI agents within Snowflake Familiarity with Snowflake Cortex LLM functions and agentbased patterns for building intelligent datadriven workflows inside the Snowflake ecosystem\r\nBackend integration patterns Practical experience building backend services and integrations using Python REST APIs and related tooling authentication pagination error handling retry logic\r\nAdditional skills\r\nPostgreSQL relational databases Working knowledge of PostgreSQL or equivalent RDBMS including query optimization indexing and schema design patterns\r\nGo Golang Experience building backend services or microservices in Go is a strong differentiator\r\nCloud data infrastructure Familiarity with Azure or AWS data services eg Azure Data Factory Event Hubs S3 as source or orchestration layers\r\nData observability testing Experience with data quality frameworks dbt tests or observability tooling Great Expectations Monte Carlo etc\r\nYoure a selfdirected engineer who thrives at the intersection of data engineering and platform thinking You can navigate ambiguous requirements design for scale and communicate clearly across engineering and product stakeholders You care about data quality documentation and building systems that other teams love to consume\r\nOther details\r\nVariable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance.\r\nActual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.\r\nBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (LTIM):\r\nBenefits and Perks\r\n\r\nComprehensive Medical Plan Covering Medical, Dental, Vision\r\nShort Term and Long-Term Disability Coverage\r\n401(k) Plan with Company match\r\nLife Insurance\r\nVacation Time, Sick Leave, Paid Holidays\r\nPaid Paternity and Maternity Leave\r\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.\r\nDisclaimer\r\nThe compensation and benefits information provided herein is accurate as of the date of\r\nthis posting.\r\nLTIMindtree\r\nis an equal opportunity employer that is committed to diversity in the workplace. Our\r\nemployment decisions are made without regard to race, color, creed, religion, sex (including\r\npregnancy, childbirth or related medical conditions), gender identity or expression, national origin,\r\nancestry, age, family-care status, veteran status, marital status, civil union status, domestic\r\npartnership status, military service, handicap or disability or history of handicap or disability, genetic\r\ninformation, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation\r\nor preference, or any other characteristic protected by applicable federal, state, or local law, except\r\nwhere such considerations are bona fide occupational qualifications permitted by law.\r\n\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Richardson","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:45:55.724Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Snowflake Data Engineer","description":"Role description\r\nSenior Snowflake Data Engineer\r\nLocation Richardson TX Onsite\r\nWe are looking for a Senior Data Platform Engineer Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumptionready models in Snowflake and build AIpowered agents that surface intelligence across the platform\r\nCore Responsibilities\r\nSnowflake engineering Design schemas write performant SQL manage roles warehouse sizing and implement change management practices\r\nETL ELT development Build and maintain pipelines that ingest from diverse sources APIs databases event streams and normalize data for BI and downstream consumers\r\nAI agent development Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows\r\nBackend API connectivity Develop backend integrations with internal and thirdparty systems via REST APIs and backend services\r\nRequired Skills\r\nSnowflake Handson experience building and optimizing data models writing advanced SQL PIVOT GROUPING SETS ROLLUPCUBE and managing Snowflake environments in production\r\nMultisource integration Proven ability to connect and ingest data from heterogeneous sources including relational databases REST APIs SaaS platforms and event streams\r\nETL ELT design Experience designing normalized schemas and transformation pipelines that produce clean consumptionready data models starsnowflake schema dimensional modeling\r\nPython Strong proficiency in Python for data engineering tasks pipeline orchestration data transformation API clients and scripting automation\r\nAI agents within Snowflake Familiarity with Snowflake Cortex LLM functions and agentbased patterns for building intelligent datadriven workflows inside the Snowflake ecosystem\r\nBackend integration patterns Practical experience building backend services and integrations using Python REST APIs and related tooling authentication pagination error handling retry logic\r\nAdditional skills\r\nPostgreSQL relational databases Working knowledge of PostgreSQL or equivalent RDBMS including query optimization indexing and schema design patterns\r\nGo Golang Experience building backend services or microservices in Go is a strong differentiator\r\nCloud data infrastructure Familiarity with Azure or AWS data services eg Azure Data Factory Event Hubs S3 as source or orchestration layers\r\nData observability testing Experience with data quality frameworks dbt tests or observability tooling Great Expectations Monte Carlo etc\r\nYoure a selfdirected engineer who thrives at the intersection of data engineering and platform thinking You can navigate ambiguous requirements design for scale and communicate clearly across engineering and product stakeholders You care about data quality documentation and building systems that other teams love to consume\r\nOther details\r\nVariable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance.\r\nActual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.\r\nBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (LTIM):\r\nBenefits and Perks\r\n\r\nComprehensive Medical Plan Covering Medical, Dental, Vision\r\nShort Term and Long-Term Disability Coverage\r\n401(k) Plan with Company match\r\nLife Insurance\r\nVacation Time, Sick Leave, Paid Holidays\r\nPaid Paternity and Maternity Leave\r\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.\r\nDisclaimer\r\nThe compensation and benefits information provided herein is accurate as of the date of\r\nthis posting.\r\nLTIMindtree\r\nis an equal opportunity employer that is committed to diversity in the workplace. Our\r\nemployment decisions are made without regard to race, color, creed, religion, sex (including\r\npregnancy, childbirth or related medical conditions), gender identity or expression, national origin,\r\nancestry, age, family-care status, veteran status, marital status, civil union status, domestic\r\npartnership status, military service, handicap or disability or history of handicap or disability, genetic\r\ninformation, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation\r\nor preference, or any other characteristic protected by applicable federal, state, or local law, except\r\nwhere such considerations are bona fide occupational qualifications permitted by law.\r\n\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:45:55.724Z","dateModified":"2026-08-08T01:45:55.724Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Richardson","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a6d583b496cd443b54856abc"},"url":"https://jobsearcher.com/jobs/a6d583b496cd443b54856abc"}}