{"schemaVersion":"jobsearcher.job.v1","id":"68a970ecd1902291ab81101a","url":"https://jobsearcher.com/jobs/68a970ecd1902291ab81101a","canonicalUrl":"https://jobsearcher.com/jobs/68a970ecd1902291ab81101a","title":"Data Engineer II","description":"Client interviews are expected to begin the first week of December 2026, potentially sooner! Qualified candidates are encouraged to apply immediately. Must be able to pass a technical screening.IMPORTANT EMPLOYMENT REQUIREMENTThis is a Right-to-Hire opportunity with the potential to transition into a permanent position with the client. Candidates must be authorized to work in the United States without current or future sponsorship.Build the data infrastructure that's helping transform healthcare.We're partnering with a Fortune 500 healthcare organization that is investing in innovative technology, modern data platforms, and next-generation data solutions. This is an opportunity to work alongside talented technology professionals, tackle complex data challenges, and contribute to initiatives that help shape the future of healthcare.Are you a data engineer who loves solving complex data challenges, building scalable pipelines, and turning massive amounts of information into meaningful insights?We're looking for a talented Data Engineer II to join an innovative healthcare technology team that is using data to improve how healthcare information is managed, accessed, analyzed, and delivered.This is an exciting opportunity for a hands-on engineer who understands the complexities of healthcare data and knows how to build reliable, efficient, and scalable data solutions.If SQL is your superpower, ETL is your specialty, and Snowflake and Python are part of your everyday toolkit, we want to meet you!WHAT YOU'LL BE DOINGDesign, develop, implement, and maintain scalable ETL/ELT pipelines that support enterprise healthcare data initiatives.Extract, transform, and load data from multiple sources into centralized data platforms.Develop complex SQL queries to support data integration, transformation, validation, and reporting.Build and optimize data solutions within Snowflake.Work with large, complex healthcare datasets, ensuring data quality, accuracy, consistency, and reliability.Develop and maintain Python scripts for data processing, automation, and pipeline optimization.Leverage Databricks and distributed data processing technologies to support data engineering initiatives.Collaborate with data architects, analysts, developers, and business stakeholders to understand requirements and deliver high-quality data solutions.Troubleshoot data pipeline failures, investigate data discrepancies, and improve overall performance.Implement data validation, reconciliation, and quality checks throughout the data lifecycle.Optimize queries, transformations, and workflows to improve performance and reduce processing time.Document data processes, technical solutions, and pipeline architecture.TECHNICAL SKILLS: WHAT YOU NEED TO KNOWAdvanced SQL – A MUST!We're looking for someone who is comfortable writing complex SQL queries and understands how to work with large relational datasets.Strong experience with:Data deduplication and record matchingQuery optimization and performance tuningStored procedures and complex transformationsSnowflakeHands-on experience working with Snowflake data warehouses.Building and optimizing tables, views, and data transformations.Understanding Snowflake architecture, databases, schemas, and warehouses.Experience with Snowflake SQL, query performance, and data loading.Working with structured and semi-structured data.Understanding stages, file formats, and COPY INTO.Familiarity with Snowpipe, streams, tasks, and other Snowflake capabilities is a plus.PythonExperience using Python for data engineering and automation.Working with libraries such as Pandas and NumPy.Developing scripts for data extraction, transformation, validation, and processing.Working with APIs, JSON, CSV, and other data formats.Building reusable scripts and automating repetitive data processes.DatabricksExposure to or hands-on experience with Databricks.Familiarity with Apache Spark and PySpark.Understanding distributed data processing.Experience working with notebooks, data transformations, and large datasets.Familiarity with Delta Lake and Lakehouse architecture is a plus.HEALTHCARE EXPERIENCE IS IHIGHLY DESIREDWe're especially interested in candidates who have worked with healthcare data and understand the unique challenges of healthcare technology.Relevant experience may include:Electronic Health Records (EHR/EMR).Claims and encounter data.Patient and provider data.Healthcare eligibility and enrollment data.Clinical and operational data.Healthcare billing and payment information.HL7 and FHIR data formats.HIPAA regulations and protected health information (PHI).Healthcare data integration and interoperability.WHAT MAKES YOU A GREAT FIT?Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field, or equivalent practical experience.3+ years of hands-on data engineering experience preferred.Strong SQL development and troubleshooting skills.Proven experience building and supporting ETL/ELT pipelines.Hands-on experience with Snowflake.Strong Python programming and scripting capabilities.Some experience with Databricks, Spark, or PySpark.Experience working with large datasets and complex data environments.Understanding of data warehousing, data modeling, and data integration.Strong analytical and problem-solving skills.Ability to work independently while collaborating with cross-functional teams.A passion for building high-quality data solutions that make a difference.WHY THIS OPPORTUNITY?This isn't simply another data engineering position. It's an opportunity to work with meaningful healthcare data, solve challenging technical problems, and help build the infrastructure behind better data-driven healthcare solutions.You'll have the opportunity to work with modern technologies, collaborate with talented engineering professionals, and contribute to projects that have a real-world impact.We're looking for someone who loves data, thinks like an engineer, and wants to build something that matters.READY TO TAKE YOUR DATA ENGINEERING CAREER TO THE NEXT LEVEL?If you have strong SQL skills, hands-on ETL experience, Snowflake expertise, Python knowledge, and an interest in healthcare technology, we want to hear from you!Bring your technical skills. Bring your curiosity. Help us build the future of healthcare data.","company":"Launchcode","rawCompany":"launchcode","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-02T07:16:57.566Z","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":"Data Engineer II","description":"Client interviews are expected to begin the first week of December 2026, potentially sooner! Qualified candidates are encouraged to apply immediately. Must be able to pass a technical screening.IMPORTANT EMPLOYMENT REQUIREMENTThis is a Right-to-Hire opportunity with the potential to transition into a permanent position with the client. Candidates must be authorized to work in the United States without current or future sponsorship.Build the data infrastructure that's helping transform healthcare.We're partnering with a Fortune 500 healthcare organization that is investing in innovative technology, modern data platforms, and next-generation data solutions. This is an opportunity to work alongside talented technology professionals, tackle complex data challenges, and contribute to initiatives that help shape the future of healthcare.Are you a data engineer who loves solving complex data challenges, building scalable pipelines, and turning massive amounts of information into meaningful insights?We're looking for a talented Data Engineer II to join an innovative healthcare technology team that is using data to improve how healthcare information is managed, accessed, analyzed, and delivered.This is an exciting opportunity for a hands-on engineer who understands the complexities of healthcare data and knows how to build reliable, efficient, and scalable data solutions.If SQL is your superpower, ETL is your specialty, and Snowflake and Python are part of your everyday toolkit, we want to meet you!WHAT YOU'LL BE DOINGDesign, develop, implement, and maintain scalable ETL/ELT pipelines that support enterprise healthcare data initiatives.Extract, transform, and load data from multiple sources into centralized data platforms.Develop complex SQL queries to support data integration, transformation, validation, and reporting.Build and optimize data solutions within Snowflake.Work with large, complex healthcare datasets, ensuring data quality, accuracy, consistency, and reliability.Develop and maintain Python scripts for data processing, automation, and pipeline optimization.Leverage Databricks and distributed data processing technologies to support data engineering initiatives.Collaborate with data architects, analysts, developers, and business stakeholders to understand requirements and deliver high-quality data solutions.Troubleshoot data pipeline failures, investigate data discrepancies, and improve overall performance.Implement data validation, reconciliation, and quality checks throughout the data lifecycle.Optimize queries, transformations, and workflows to improve performance and reduce processing time.Document data processes, technical solutions, and pipeline architecture.TECHNICAL SKILLS: WHAT YOU NEED TO KNOWAdvanced SQL – A MUST!We're looking for someone who is comfortable writing complex SQL queries and understands how to work with large relational datasets.Strong experience with:Data deduplication and record matchingQuery optimization and performance tuningStored procedures and complex transformationsSnowflakeHands-on experience working with Snowflake data warehouses.Building and optimizing tables, views, and data transformations.Understanding Snowflake architecture, databases, schemas, and warehouses.Experience with Snowflake SQL, query performance, and data loading.Working with structured and semi-structured data.Understanding stages, file formats, and COPY INTO.Familiarity with Snowpipe, streams, tasks, and other Snowflake capabilities is a plus.PythonExperience using Python for data engineering and automation.Working with libraries such as Pandas and NumPy.Developing scripts for data extraction, transformation, validation, and processing.Working with APIs, JSON, CSV, and other data formats.Building reusable scripts and automating repetitive data processes.DatabricksExposure to or hands-on experience with Databricks.Familiarity with Apache Spark and PySpark.Understanding distributed data processing.Experience working with notebooks, data transformations, and large datasets.Familiarity with Delta Lake and Lakehouse architecture is a plus.HEALTHCARE EXPERIENCE IS IHIGHLY DESIREDWe're especially interested in candidates who have worked with healthcare data and understand the unique challenges of healthcare technology.Relevant experience may include:Electronic Health Records (EHR/EMR).Claims and encounter data.Patient and provider data.Healthcare eligibility and enrollment data.Clinical and operational data.Healthcare billing and payment information.HL7 and FHIR data formats.HIPAA regulations and protected health information (PHI).Healthcare data integration and interoperability.WHAT MAKES YOU A GREAT FIT?Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field, or equivalent practical experience.3+ years of hands-on data engineering experience preferred.Strong SQL development and troubleshooting skills.Proven experience building and supporting ETL/ELT pipelines.Hands-on experience with Snowflake.Strong Python programming and scripting capabilities.Some experience with Databricks, Spark, or PySpark.Experience working with large datasets and complex data environments.Understanding of data warehousing, data modeling, and data integration.Strong analytical and problem-solving skills.Ability to work independently while collaborating with cross-functional teams.A passion for building high-quality data solutions that make a difference.WHY THIS OPPORTUNITY?This isn't simply another data engineering position. It's an opportunity to work with meaningful healthcare data, solve challenging technical problems, and help build the infrastructure behind better data-driven healthcare solutions.You'll have the opportunity to work with modern technologies, collaborate with talented engineering professionals, and contribute to projects that have a real-world impact.We're looking for someone who loves data, thinks like an engineer, and wants to build something that matters.READY TO TAKE YOUR DATA ENGINEERING CAREER TO THE NEXT LEVEL?If you have strong SQL skills, hands-on ETL experience, Snowflake expertise, Python knowledge, and an interest in healthcare technology, we want to hear from you!Bring your technical skills. Bring your curiosity. Help us build the future of healthcare data.","datePosted":"2026-11-02T07:16:57.566Z","dateModified":"2026-11-02T07:16:57.566Z","hiringOrganization":{"@type":"Organization","name":"Launchcode","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"68a970ecd1902291ab81101a"},"url":"https://jobsearcher.com/jobs/68a970ecd1902291ab81101a"}}