• Design and develop web applications (back-end and front-end side) • Coordinate with the rest of the team working on different layers of the infrastructure • Commit to collaborative problem solving, sophisticated design, and product quality

Role Description We are seeking a hands-on Senior Dashboard/Report (Tableau / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that support Medicaid analytics, federal reporting, and enterprise decision support. The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms. Primary Responsibilities - Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks. - Build and optimize scalable data processing solutions using Python. - Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care). - Write and optimize SQL and stored procedures across relational platforms such as Teradata. - Participate in cloud migration and modernization initiatives within Azure-based architectures. - Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness. - Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security. - Support production operations, incident resolution, and root-cause analysis. - Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub. Qualifications - 5+ years of Reporting and Dashboard with a focus on enterprise data warehousing. - 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects. - 5+ years of Python development for data engineering and automation. - 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent). - Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server). - Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD). - Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field. - Strong analytical, problem-solving, and troubleshooting skills. Preferred Qualifications - Experience supporting State Medicaid EDW or MMIS analytics environments. - Healthcare or public-sector analytics experience (Medicaid / Medicare preferred). - Data modeling experience in enterprise data warehouse environments. - Scripting experience (PowerShell, Bash) for automation and orchestration. - Experience designing or consuming APIs (REST) within data platforms. - Familiarity with data quality frameworks, reconciliation, and audit support. - Azure certifications related to data engineering or analytics. Work Environment & Telecommute Policy - This position supports a telecommute-friendly work model and may be performed remotely within the continental United States. - Periodic travel may be required based on project or customer needs. - This is a remote position.

Role Description We are seeking a hands-on Senior Dashboard/Report (Tableau / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that support Medicaid analytics, federal reporting, and enterprise decision support. The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud-based platforms. Qualifications - 5+ years of Reporting and Dashboard with a focus on enterprise data warehousing - 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects - 5+ years of Python development for data engineering and automation - 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent) - Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server) - Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD) - Bachelor’s degree or higher in Computer Science, Engineering, Analytics, or a related field - Strong analytical, problem-solving, and troubleshooting skills Requirements - Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks - Build and optimize scalable data processing solutions using Python - Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) - Write and optimize SQL and stored procedures across relational platforms such as Teradata - Participate in cloud migration and modernization initiatives within Azure-based architectures - Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness - Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security - Support production operations, incident resolution, and root-cause analysis - Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub Preferred Qualifications - Experience supporting State Medicaid EDW or MMIS analytics environments - Healthcare or public-sector analytics experience (Medicaid / Medicare preferred) - Data modeling experience in enterprise data warehouse environments - Scripting experience (PowerShell, Bash) for automation and orchestration - Experience designing or consuming APIs (REST) within data platforms - Familiarity with data quality frameworks, reconciliation, and audit support - Azure certifications related to data engineering or analytics Work Environment This position supports a telecommute-friendly work model and may be performed remotely within the continental United States. Periodic travel may be required based on project or customer needs. This is a remote position.

Role Description Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. By bringing together zero trust security with network optimization, Netskope Borderless WAN allows customers to confidently provide secure, high-performance access to every remote user, device, site, and cloud. It also simplifies the on-boarding of traffic to the Netskope Security Cloud and NewEdge network, so customers can on-board more quickly and efficiently. The BWAN Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various analytics and OLTP environments. What you will be doing - Design and develop streaming services that will ingest millions of data points per minute. - Understand the customer and their reporting requirements, to ensure that our solutions deliver. - Make important technical decisions on behalf of the engineer team. - Evaluate open source technologies to find the best fit for our needs, and contribute to some of them to meet our unique needs and help the community. - Coordinate with other service development teams, product management and support teams to ensure scalability, supportability and availability for owned services and dependent services. Qualifications - 8+ years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations. - Excellent algorithms, data structure, and coding skills with Golang. - Proficiency in SQL and/or other database technologies. - Experience building products using some of the following distributed technologies: - Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PubSub). - Columnar or NoSQL Stores (i.e. Big Query or Clickhouse). - Relational Stores (i.e. Postgres, MySQL or Oracle). - Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document). - Excellent written and verbal communication skills. Requirements - Read/Write intensive DBs (BigTable, DynamoDB, HBase, Cassandra). - Keen on applying Data Governance principles. - Exposure to a Cloud provider (GCP, AWS, Oracle), plus Terraform. - Distributed Processing Engines (i.e. Apache Spark, Apache Flink or Apache Beam). - Experience with ADR and other product processes. - Prior experience working in a distributed (remote) team environment. Education - BS or MS in Computer Science or equivalent training/knowledge.