Accolade, Inc.
Overview
Data Engineer III role at Accolade, Inc. (Transcarent and Accolade have joined to create the One Place for Health and Care, delivering personalized health and care experiences with AI-powered solutions and comprehensive care offerings). Responsibilities
Architect, develop, and maintain enterprise-scale data pipelines that process massive volumes of healthcare data with reliability and performance. Design and evolve the Enterprise Data Warehouse structure, establishing optimization strategies for query performance and data accessibility. Drive the implementation of complex data integration solutions that connect diverse systems including Telephony, CRM, and other internal applications. Develop sophisticated data processing frameworks using Python, PySpark, and other advanced data engineering tools. Implement and optimize Databricks notebooks and jobs for large-scale data transformation. Build and optimize data models in AWS (Redshift, RDS, DynamoDB, S3) and design Databricks workflows using Delta Lake and optimized Spark jobs. Collaborate with executive stakeholders and cross-functional teams to translate business requirements into innovative data solutions. Implement and enforce data quality control mechanisms to ensure data integrity throughout the data lifecycle. Participate in sprint planning and provide technical leadership for complex data engineering initiatives. Research and evaluate emerging technologies, making recommendations for technology adoption and platform evolution. Lead and mentor development team members and drive technical excellence across data engineering initiatives. What We Are Looking For
In addition to the above responsibilities, we seek someone who can work independently in a fast-paced environment with extensive experience in enterprise data transformation and warehousing, as indicated by the following attributes: 5+ years of professional data engineering experience with demonstrated progression in technical leadership roles. BS or MS in Computer Science, Data Science, or related field. Expert-level proficiency in Python with extensive experience building enterprise-scale data processing applications. Advanced expertise with Databricks including Delta Lake, Spark SQL, and Databricks workflows. Proven track record of designing and implementing large-scale data warehousing solutions and complex ETL/ELT pipelines. Expert-level knowledge of SQL with experience in advanced query optimization and performance tuning. Deep expertise with AWS data services, particularly Redshift, S3, Glue, Lambda, RDS, and DynamoDB. Extensive experience with modern data processing frameworks such as Apache Spark, Airflow, or similar tools. Strong expertise in data modeling concepts and best practices for dimensional modeling. Advanced understanding of performance tuning and optimization techniques for data systems. Experience working in an Agile environment with advanced CI/CD practices. Desired Personal Characteristics
Innovative problem-solver who can architect solutions for ambiguous, complex challenges and drive technical decisions independently. Self-directed technical leader who takes end-to-end ownership of strategic initiatives from conception through production deployment. Exceptional communicator who can articulate complex technical architectures to executive stakeholders and translate business requirements into technical solutions. Collaborative mentor and team leader who elevates team capabilities while thriving in fast-paced, high-impact environments. Detail-oriented architect with exceptional analytical skills, commitment to engineering excellence, and focus on scalable, maintainable solutions. Strategic thinker with deep understanding of how data platform decisions impact business outcomes and end-user experience. Rapid learner who proactively stays ahead of emerging technologies and industry trends, driving innovation within the organization. Ability to balance technical innovation with practical business considerations while managing multiple high-priority initiatives. Resilient leader who thrives in ambiguous situations and can adapt architectural approaches based on evolving requirements and priorities. Salary and Benefits
The salary range for this role is $113,800 - $176,400 annually. Total rewards include a base salary, eligibility for corporate bonuses, and stock options. Benefits and perks include: Comprehensive medical, dental, vision, life, and disability benefits HDHP medical plan with employer contributions to an HSA 401(k) with employer matching Open time off and accrued sick & safe time off Generous holiday schedule plus 5 floating holidays Paid parental leave Subsidized commuter benefits Virtual coaching and mental health resources 1 volunteer day per year Location and Eligibility
You must be authorized to work in the United States. Depending on the position, there may be a preference for a specific location, but we are generally open to remote work anywhere in the US. This is a hybrid role in Seattle, WA, requiring 2-3 days in the office. Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please reach out. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting, Wellness and Fitness Services, Hospitals and Health Care
#J-18808-Ljbffr
Data Engineer III role at Accolade, Inc. (Transcarent and Accolade have joined to create the One Place for Health and Care, delivering personalized health and care experiences with AI-powered solutions and comprehensive care offerings). Responsibilities
Architect, develop, and maintain enterprise-scale data pipelines that process massive volumes of healthcare data with reliability and performance. Design and evolve the Enterprise Data Warehouse structure, establishing optimization strategies for query performance and data accessibility. Drive the implementation of complex data integration solutions that connect diverse systems including Telephony, CRM, and other internal applications. Develop sophisticated data processing frameworks using Python, PySpark, and other advanced data engineering tools. Implement and optimize Databricks notebooks and jobs for large-scale data transformation. Build and optimize data models in AWS (Redshift, RDS, DynamoDB, S3) and design Databricks workflows using Delta Lake and optimized Spark jobs. Collaborate with executive stakeholders and cross-functional teams to translate business requirements into innovative data solutions. Implement and enforce data quality control mechanisms to ensure data integrity throughout the data lifecycle. Participate in sprint planning and provide technical leadership for complex data engineering initiatives. Research and evaluate emerging technologies, making recommendations for technology adoption and platform evolution. Lead and mentor development team members and drive technical excellence across data engineering initiatives. What We Are Looking For
In addition to the above responsibilities, we seek someone who can work independently in a fast-paced environment with extensive experience in enterprise data transformation and warehousing, as indicated by the following attributes: 5+ years of professional data engineering experience with demonstrated progression in technical leadership roles. BS or MS in Computer Science, Data Science, or related field. Expert-level proficiency in Python with extensive experience building enterprise-scale data processing applications. Advanced expertise with Databricks including Delta Lake, Spark SQL, and Databricks workflows. Proven track record of designing and implementing large-scale data warehousing solutions and complex ETL/ELT pipelines. Expert-level knowledge of SQL with experience in advanced query optimization and performance tuning. Deep expertise with AWS data services, particularly Redshift, S3, Glue, Lambda, RDS, and DynamoDB. Extensive experience with modern data processing frameworks such as Apache Spark, Airflow, or similar tools. Strong expertise in data modeling concepts and best practices for dimensional modeling. Advanced understanding of performance tuning and optimization techniques for data systems. Experience working in an Agile environment with advanced CI/CD practices. Desired Personal Characteristics
Innovative problem-solver who can architect solutions for ambiguous, complex challenges and drive technical decisions independently. Self-directed technical leader who takes end-to-end ownership of strategic initiatives from conception through production deployment. Exceptional communicator who can articulate complex technical architectures to executive stakeholders and translate business requirements into technical solutions. Collaborative mentor and team leader who elevates team capabilities while thriving in fast-paced, high-impact environments. Detail-oriented architect with exceptional analytical skills, commitment to engineering excellence, and focus on scalable, maintainable solutions. Strategic thinker with deep understanding of how data platform decisions impact business outcomes and end-user experience. Rapid learner who proactively stays ahead of emerging technologies and industry trends, driving innovation within the organization. Ability to balance technical innovation with practical business considerations while managing multiple high-priority initiatives. Resilient leader who thrives in ambiguous situations and can adapt architectural approaches based on evolving requirements and priorities. Salary and Benefits
The salary range for this role is $113,800 - $176,400 annually. Total rewards include a base salary, eligibility for corporate bonuses, and stock options. Benefits and perks include: Comprehensive medical, dental, vision, life, and disability benefits HDHP medical plan with employer contributions to an HSA 401(k) with employer matching Open time off and accrued sick & safe time off Generous holiday schedule plus 5 floating holidays Paid parental leave Subsidized commuter benefits Virtual coaching and mental health resources 1 volunteer day per year Location and Eligibility
You must be authorized to work in the United States. Depending on the position, there may be a preference for a specific location, but we are generally open to remote work anywhere in the US. This is a hybrid role in Seattle, WA, requiring 2-3 days in the office. Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please reach out. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: IT Services and IT Consulting, Wellness and Fitness Services, Hospitals and Health Care
#J-18808-Ljbffr