{"schemaVersion":"jobsearcher.job.v1","id":"516a9d57d4cb29da122d17ac","url":"https://jobsearcher.com/jobs/516a9d57d4cb29da122d17ac","canonicalUrl":"https://jobsearcher.com/jobs/516a9d57d4cb29da122d17ac","title":"Senior Software Data Engineer","description":"Senior Software Data Engineer, CCS\n\nThis position is remote\n\nWe are more than just a healthcare company; we are a community of professionals driven by the knowledge that our success leads to a positive impact on the communities that we support.\n\nAt ComplexCare Solutions, you’ll play a crucial part in innovating solutions that empower health plan members and healthcare providers alike. Our collaborative environment fosters creativity and initiative, ensuring that every idea and effort contributes to meaningful change in the industry. Join us and become a part of a team that turns vision into action, making a tangible impact on the future of healthcare.\n\nOverview: The Senior Data Engineer is responsible for contributing to data analytics, data operations, and software product development across the organization. They will support existing data operations such as data pipeline, ETL, data lake / warehouse, data structure development, and troubleshooting of data issues. They will be part of the team which is building next generation data & reporting platform. This platform will cater internal business stakeholders and external customers to provide insights & forecasting to understand current state of business, improve decision-making for their tactical and strategic goals & KPIs. They will work across a variety of products and projects as needed and engage with a variety of data types. This position may require independent work, sharing information and assisting others with work request.\n\nDuties and Responsibilities:\n\nWork with agile teams and actively participate in sprint planning, backlog grooming, daily standups, retrospectives, and demonstrations.\nContribute to requirements analysis, technical design discussions, effort estimation, task management, and status reporting.\nDesign, develop, and support scalable cloud-native data solutions utilizing Azure Databricks, Delta Lake, Azure Data Factory (ADF), Azure Storage, and Azure SQL technologies.\nDevelop and optimize PySpark, Spark SQL, SQL, and Databricks Notebook-based data pipelines for batch and near real-time processing.\nDesign and implement Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake solutions to support enterprise data platforms.\nBuild and maintain scalable ETL/ELT frameworks for ingesting, validating, transforming, cleansing, and loading large volumes of structured and unstructured data.\nDesign and develop reusable data ingestion and processing frameworks that support configurable business rules, validations, exception handling, and auditability.\nPartner with data architects, business analysts, and application teams to design logical and physical data models supporting enterprise analytics and reporting.\nDesign and implement STAR and SNOWFLAKE schemas, dimensional models, and curated data marts optimized for reporting and analytics workloads.\nDevelop and maintain data quality, reconciliation, monitoring, lineage, and operational support frameworks to ensure data integrity and reliability.\nDesign and develop scalable data export solutions for downstream applications, reporting platforms, and external customer integrations.\nOptimize Databricks workloads, Spark jobs, Delta tables, and SQL queries to improve performance, scalability, and cost efficiency.\nImplement and support CI/CD processes, Infrastructure as Code (IaC), deployment automation, and DataOps best practices across the data platform.\nCollaborate with Power BI and Analytics teams to optimize semantic models, reportingdatasets, and query performance.\nParticipate in troubleshooting production issues, root cause analysis, incident resolution, and operational support activities.\nProduce technical design documentation, architecture diagrams, data flow diagrams, operational runbooks, and support documentation.\nMaintain compliance with ComplexCare Solutions (CCS) policies, procedures, security standards, and mission statement.\nAdhere to all confidentiality and HIPAA requirements as outlined within CCS policies and procedures with respect to PHI and sensitive healthcare data.\nFulfill additional responsibilities as assigned to support operational excellence and organizational objectives.\n\nJob Requirements:\n\nMinimum 7+ years of experience in Data Engineering, Data Warehousing, ETL/ELT development, and enterprise data platforms.\n5+ years of hands-on experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, and distributed data processing frameworks.\n5+ years of experience building and supporting enterprise-scale data pipelines and cloud-native data platforms.\nStrong experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and related Azure services.\nStrong SQL development skills including query optimization, performance tuning, indexing strategies, and large-scale data processing.\nExperience implementing Medallion Architecture, Delta Lake, Data Lakehouse, and modern analytics platforms.\nExperience with CI/CD, Git, Azure DevOps, Infrastructure as Code, and DataOps practices.\nExperience designing dimensional models, STAR schemas, SNOWFLAKE schemas, and enterprise data warehouses.\nExperience building data quality frameworks, reconciliation processes, monitoring, alerting, and operational support solutions.\nExperience working with reporting and analytics platforms such as Power BI, Tableau, or similar tools.\nStrong understanding of cloud architecture, data governance, security, and role-based access controls.\nHealthcare industry experience and familiarity with HIPAA, PHI, claims, clinical, or member data is highly preferred.\nExcellent problem-solving, analytical, and troubleshooting skills.\nStrong verbal and written communication skills with the ability to work effectively across technical and business teams.\nAbility to work independently, manage competing priorities, and deliver solutions in a fast-paced environment.\n\nEducation:\n\nBS degree in Computer Science or Computer Engineering, Business, or equivalent experience.\nSome travel (less than 10%) may be required for this position, primarily for training and collaboration purposes.\n\nCompensation: $129,400 - $135,000 annually\n\nAnnual Bonus Target: 5%\n\nThe Company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other protected characteristic under federal, state, or other applicable laws.\n\nThis company utilizes E-Verify.\n\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.","company":"Complexcaresolutions","rawCompany":"complexcaresolutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-02T13:27:42.186Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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 Software Data Engineer","description":"Senior Software Data Engineer, CCS\n\nThis position is remote\n\nWe are more than just a healthcare company; we are a community of professionals driven by the knowledge that our success leads to a positive impact on the communities that we support.\n\nAt ComplexCare Solutions, you’ll play a crucial part in innovating solutions that empower health plan members and healthcare providers alike. Our collaborative environment fosters creativity and initiative, ensuring that every idea and effort contributes to meaningful change in the industry. Join us and become a part of a team that turns vision into action, making a tangible impact on the future of healthcare.\n\nOverview: The Senior Data Engineer is responsible for contributing to data analytics, data operations, and software product development across the organization. They will support existing data operations such as data pipeline, ETL, data lake / warehouse, data structure development, and troubleshooting of data issues. They will be part of the team which is building next generation data & reporting platform. This platform will cater internal business stakeholders and external customers to provide insights & forecasting to understand current state of business, improve decision-making for their tactical and strategic goals & KPIs. They will work across a variety of products and projects as needed and engage with a variety of data types. This position may require independent work, sharing information and assisting others with work request.\n\nDuties and Responsibilities:\n\nWork with agile teams and actively participate in sprint planning, backlog grooming, daily standups, retrospectives, and demonstrations.\nContribute to requirements analysis, technical design discussions, effort estimation, task management, and status reporting.\nDesign, develop, and support scalable cloud-native data solutions utilizing Azure Databricks, Delta Lake, Azure Data Factory (ADF), Azure Storage, and Azure SQL technologies.\nDevelop and optimize PySpark, Spark SQL, SQL, and Databricks Notebook-based data pipelines for batch and near real-time processing.\nDesign and implement Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake solutions to support enterprise data platforms.\nBuild and maintain scalable ETL/ELT frameworks for ingesting, validating, transforming, cleansing, and loading large volumes of structured and unstructured data.\nDesign and develop reusable data ingestion and processing frameworks that support configurable business rules, validations, exception handling, and auditability.\nPartner with data architects, business analysts, and application teams to design logical and physical data models supporting enterprise analytics and reporting.\nDesign and implement STAR and SNOWFLAKE schemas, dimensional models, and curated data marts optimized for reporting and analytics workloads.\nDevelop and maintain data quality, reconciliation, monitoring, lineage, and operational support frameworks to ensure data integrity and reliability.\nDesign and develop scalable data export solutions for downstream applications, reporting platforms, and external customer integrations.\nOptimize Databricks workloads, Spark jobs, Delta tables, and SQL queries to improve performance, scalability, and cost efficiency.\nImplement and support CI/CD processes, Infrastructure as Code (IaC), deployment automation, and DataOps best practices across the data platform.\nCollaborate with Power BI and Analytics teams to optimize semantic models, reportingdatasets, and query performance.\nParticipate in troubleshooting production issues, root cause analysis, incident resolution, and operational support activities.\nProduce technical design documentation, architecture diagrams, data flow diagrams, operational runbooks, and support documentation.\nMaintain compliance with ComplexCare Solutions (CCS) policies, procedures, security standards, and mission statement.\nAdhere to all confidentiality and HIPAA requirements as outlined within CCS policies and procedures with respect to PHI and sensitive healthcare data.\nFulfill additional responsibilities as assigned to support operational excellence and organizational objectives.\n\nJob Requirements:\n\nMinimum 7+ years of experience in Data Engineering, Data Warehousing, ETL/ELT development, and enterprise data platforms.\n5+ years of hands-on experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, and distributed data processing frameworks.\n5+ years of experience building and supporting enterprise-scale data pipelines and cloud-native data platforms.\nStrong experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and related Azure services.\nStrong SQL development skills including query optimization, performance tuning, indexing strategies, and large-scale data processing.\nExperience implementing Medallion Architecture, Delta Lake, Data Lakehouse, and modern analytics platforms.\nExperience with CI/CD, Git, Azure DevOps, Infrastructure as Code, and DataOps practices.\nExperience designing dimensional models, STAR schemas, SNOWFLAKE schemas, and enterprise data warehouses.\nExperience building data quality frameworks, reconciliation processes, monitoring, alerting, and operational support solutions.\nExperience working with reporting and analytics platforms such as Power BI, Tableau, or similar tools.\nStrong understanding of cloud architecture, data governance, security, and role-based access controls.\nHealthcare industry experience and familiarity with HIPAA, PHI, claims, clinical, or member data is highly preferred.\nExcellent problem-solving, analytical, and troubleshooting skills.\nStrong verbal and written communication skills with the ability to work effectively across technical and business teams.\nAbility to work independently, manage competing priorities, and deliver solutions in a fast-paced environment.\n\nEducation:\n\nBS degree in Computer Science or Computer Engineering, Business, or equivalent experience.\nSome travel (less than 10%) may be required for this position, primarily for training and collaboration purposes.\n\nCompensation: $129,400 - $135,000 annually\n\nAnnual Bonus Target: 5%\n\nThe Company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other protected characteristic under federal, state, or other applicable laws.\n\nThis company utilizes E-Verify.\n\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.","datePosted":"2026-10-02T13:27:42.186Z","dateModified":"2026-10-02T13:27:42.186Z","hiringOrganization":{"@type":"Organization","name":"Complexcaresolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"516a9d57d4cb29da122d17ac"},"url":"https://jobsearcher.com/jobs/516a9d57d4cb29da122d17ac"}}