• Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation • Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt • Design and maintain data models, potentially utilizing data virtualization tools like Cube • Leverage managed and serverless cloud offerings to create performant and scalable cloud-native application solutions and data pipelines • Apply best practices for data security and ensure compliance with governance requirements • Build high-performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI • Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code

• Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets using Spark, Python, Rust, and SQL. • Lead complex cross-functional initiatives, balancing trade-offs across scalability, reliability, performance, cost, and delivery speed. • Build and maintain robust data quality, validation, observability, lineage, monitoring, and alerting frameworks. • Architect scalable Healthcare Map data products that power APIs, analytics, internal tooling, and customer-facing applications. • Partner with Product, Data Science, and Platform teams to translate healthcare use cases into scalable technical solutions. • Drive engineering excellence across system design, code quality, testing, documentation, and CI/CD practices. • Mentor engineers through design reviews, technical coaching, and architectural guidance.

• Ensure that the appropriate telemetry in all public and private clouds is appropriate to meet cybersecurity use cases. • Ensure that the appropriate data normalization, aggregation, and context is provided to meet cybersecurity detection, threat hunt, incident response, governance, and compliance functions. • Knowledge about log collection and routing for AWS and Azure cloud environments, including data plane and control plane logs and ability to design data logging and routing architectures.

Role Description Cardinal Technology Systems Corp. is currently seeking a Jr. Data Analytics Engineer to work for our company. - Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies) - Assist in the design, development, and deployment of reports, dashboards, and data visualizations using business intelligence (BI) tools such as SAP Business Objects or similar platforms. - Collaborate with data engineering teams to support the use of dimensional models, including fact and dimension tables (star/snowflake schemas), for reporting. - Write and maintain SQL queries within Oracle and Databricks environments to extract and prepare data for reporting applications. - Work with business analysts and stakeholders to help gather requirements, translate business needs into technical specifications, and support the delivery of reporting solutions. - Assist in monitoring and improving the performance of reports and underlying queries to help ensure a reliable and user-friendly experience. - Gain exposure to and support the use of AWS services (e.g., S3, EMR, Redshift, Glue) for cloud-based reporting solutions. - Support the management of reporting assets, including documentation, version control, scheduled refreshes, and ongoing maintenance and enhancements. Qualifications - Bachelor's degree in computer science or related engineering field. - 1-3 (maximum of 5 years) of hands-on experience with SQL programming. - 1-3 (maximum of 5 years) of experience with at least one major BI platform (e.g. PowerBI, Tableau, Qlik). - Experience with performing data analysis and interpreting results. - Conceptual understanding of data warehousing concepts and dimensional modeling, including a clear ability to articulate the difference and use cases for star vs. snowflake schemas. - High level of self-motivation, willingness to learn new technologies and work in a distributed team environment. - The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations. Requirements - Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies) Preferences - 1-3 years of experience in dedicated reporting, business intelligence, or data analytics role. - Experience developing reports and running queries within a Databricks environment (using notebooks, SQL Warehouses, etc.). - Familiarity with navigating the AWS ecosystem, specifically with services related to data storage and access like S3 and IAM. - AWS Certification (e.g. AWS Certified Data Analytics – Specialty or Solutions Architect). - Proficiency in a scripting language, particularly Python (Pandas, Pyspark) for data manipulation or automation. - Strong communication skills with ability to present technical findings to non-technical stakeholders. Benefits - Medical, Dental, Vision Benefits - Paid Life - Paid Vacation, Holidays, Sick Leave, Floating Holidays, Bereavement Leave - Semi-monthly pay cycle