{"schemaVersion":"jobsearcher.job.v1","id":"fa24c4334c9c1507c8401b43","url":"https://jobsearcher.com/jobs/fa24c4334c9c1507c8401b43","canonicalUrl":"https://jobsearcher.com/jobs/fa24c4334c9c1507c8401b43","title":"Data Engineer","description":"Description:\nABOUT TRUDATARX\nTruDataRx, Inc. uses objective clinical data to help clients improve the clinical efficacy and reduce the costs of pharmacy benefits for its members. We are independent from all players in the pharmaceutical manufacturing and distribution industries, enabling us to best serve our clients. We value the following characteristics in our team members:\nOutward Mindset – foundation of our culture, which influences the right behaviors, that leads to results\nEntrepreneurial – the ability to get things done with resources you don’t control\nHumility – deep comfort in knowing when you don’t know and asking questions\nCollaboration – we always give benefit of doubt that each person has something to contribute\nPOSITION SUMMARY:\nWe are seeking an experienced Data Engineer to architect, build, and maintain our next-generation data pipelines. You will be the technical subject matter expert on our Modern Data Stack, primarily utilizing Snowflake and dbt.\nYou will be responsible for defining best practices, conducting code reviews, and actively nurturing the growth of junior engineers. You will act as a bridge between raw data and actionable analytics, ensuring our analysts and data scientists have clean, reliable, and timely data.\nESSENTIAL FUNCTIONS\nELT Architecture: Design and build robust, scalable ELT pipelines to ingest data from various sources (APIs, production databases, third-party tools) into Snowflake.\nData Transformation (dbt): Own the dbt project structure. specific responsibilities include:\nDeveloping complex SQL-based data models (incremental models, snapshots).\nWriting Jinja macros to keep code DRY (Don't Repeat Yourself).\nImplementing data quality tests (schema tests, custom data tests).\nSnowflake Optimization: Manage the Snowflake environment to ensure cost-efficiency and performance. This includes warehouse sizing, clustering strategies, and utilizing features like Snowpipe and Zero-Copy Cloning.\nData Quality & Governance: Champion data integrity. Implement observability tools and alerts to catch pipeline failures or data anomalies before they reach the business users.\nMentorship: Act as a technical lead for junior engineers, conducting code reviews, and establishing best practices for SQL and version control.\nCollaboration: Translate business requirements from Product and Analytics teams into technical specifications and data models\nRequirements:\nREQUIREMENTS\nRequired education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).\nRequired industry experience or certification:\n3+ years of professional experience in Data Engineering and Database Development with medical and prescription claims\nSpecific Stack Experience:\n2+ years of hands-on experience specifically with Snowflake (architecture, snowpipe, streams/tasks, and security).\n1+ years of production experience with dbt (developing packages, macros, and incremental models).\nPreferred skills:\nSQL Mastery: Expert-level SQL skills with the ability to write complex, highly optimized queries. You can write complex, performant queries and debug spaghetti code with ease. Deeply familiar with Snowflake architecture, including separation of storage and compute, semi-structured data handling (JSON/Variant), and security management (RBAC).\nProgramming: Proficiency in Python for scripting, custom connectors, or orchestration tasks.\nOrchestration: Experience with workflow orchestration tools (e.g., Airflow or FiveTran, dbt or dbt Cloud).\nVersion Control: Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).\ndbt Proficiency: Strong experience with dbt (Core or Cloud). You understand the difference between ephemeral, table, and view materializations and know how to use dbt for documentation and lineage.\nData Governance principles and best practices\nMaster Data Management principles and best practices\nPreferred Qualifications (Bonus)\nExperience with database management\nExperience handling healthcare data formats (e.g. Pharmacy Claims data, Eligibility data, Medical Claims data, etc.).\nKnowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM).\nExperience migrating legacy stored procedures to modern dbt models.\nPython: Proficient in Python for scripting, API interaction and Streamlit apps\nVersion Control: Strong understanding of Git workflows (branching, merging, pull requests) specifically within a data context.\nCompany Standard Requirements:\nAbility to work well with others in a collaborative environment\nAbility to get things done with resources you don’t control\nWillingness to admit you don’t know and ask for help\nExhibit constant curiosity and a drive to problem solve\nExhibit desire to learn and grow on a continuous basis","company":"Trudatarx","rawCompany":"trudatarx","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-06T12:58:40.498Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Description:\nABOUT TRUDATARX\nTruDataRx, Inc. uses objective clinical data to help clients improve the clinical efficacy and reduce the costs of pharmacy benefits for its members. We are independent from all players in the pharmaceutical manufacturing and distribution industries, enabling us to best serve our clients. We value the following characteristics in our team members:\nOutward Mindset – foundation of our culture, which influences the right behaviors, that leads to results\nEntrepreneurial – the ability to get things done with resources you don’t control\nHumility – deep comfort in knowing when you don’t know and asking questions\nCollaboration – we always give benefit of doubt that each person has something to contribute\nPOSITION SUMMARY:\nWe are seeking an experienced Data Engineer to architect, build, and maintain our next-generation data pipelines. You will be the technical subject matter expert on our Modern Data Stack, primarily utilizing Snowflake and dbt.\nYou will be responsible for defining best practices, conducting code reviews, and actively nurturing the growth of junior engineers. You will act as a bridge between raw data and actionable analytics, ensuring our analysts and data scientists have clean, reliable, and timely data.\nESSENTIAL FUNCTIONS\nELT Architecture: Design and build robust, scalable ELT pipelines to ingest data from various sources (APIs, production databases, third-party tools) into Snowflake.\nData Transformation (dbt): Own the dbt project structure. specific responsibilities include:\nDeveloping complex SQL-based data models (incremental models, snapshots).\nWriting Jinja macros to keep code DRY (Don't Repeat Yourself).\nImplementing data quality tests (schema tests, custom data tests).\nSnowflake Optimization: Manage the Snowflake environment to ensure cost-efficiency and performance. This includes warehouse sizing, clustering strategies, and utilizing features like Snowpipe and Zero-Copy Cloning.\nData Quality & Governance: Champion data integrity. Implement observability tools and alerts to catch pipeline failures or data anomalies before they reach the business users.\nMentorship: Act as a technical lead for junior engineers, conducting code reviews, and establishing best practices for SQL and version control.\nCollaboration: Translate business requirements from Product and Analytics teams into technical specifications and data models\nRequirements:\nREQUIREMENTS\nRequired education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).\nRequired industry experience or certification:\n3+ years of professional experience in Data Engineering and Database Development with medical and prescription claims\nSpecific Stack Experience:\n2+ years of hands-on experience specifically with Snowflake (architecture, snowpipe, streams/tasks, and security).\n1+ years of production experience with dbt (developing packages, macros, and incremental models).\nPreferred skills:\nSQL Mastery: Expert-level SQL skills with the ability to write complex, highly optimized queries. You can write complex, performant queries and debug spaghetti code with ease. Deeply familiar with Snowflake architecture, including separation of storage and compute, semi-structured data handling (JSON/Variant), and security management (RBAC).\nProgramming: Proficiency in Python for scripting, custom connectors, or orchestration tasks.\nOrchestration: Experience with workflow orchestration tools (e.g., Airflow or FiveTran, dbt or dbt Cloud).\nVersion Control: Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).\ndbt Proficiency: Strong experience with dbt (Core or Cloud). You understand the difference between ephemeral, table, and view materializations and know how to use dbt for documentation and lineage.\nData Governance principles and best practices\nMaster Data Management principles and best practices\nPreferred Qualifications (Bonus)\nExperience with database management\nExperience handling healthcare data formats (e.g. Pharmacy Claims data, Eligibility data, Medical Claims data, etc.).\nKnowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM).\nExperience migrating legacy stored procedures to modern dbt models.\nPython: Proficient in Python for scripting, API interaction and Streamlit apps\nVersion Control: Strong understanding of Git workflows (branching, merging, pull requests) specifically within a data context.\nCompany Standard Requirements:\nAbility to work well with others in a collaborative environment\nAbility to get things done with resources you don’t control\nWillingness to admit you don’t know and ask for help\nExhibit constant curiosity and a drive to problem solve\nExhibit desire to learn and grow on a continuous basis","datePosted":"2026-08-06T12:58:40.498Z","dateModified":"2026-08-06T12:58:40.498Z","hiringOrganization":{"@type":"Organization","name":"Trudatarx","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa24c4334c9c1507c8401b43"},"url":"https://jobsearcher.com/jobs/fa24c4334c9c1507c8401b43"}}