• Design, build, and maintain high-performance ELT/ETL pipelines into Snowflake across Enterprise systems • Architect optimized Snowflake schemas, warehouses, and data models that support analytics, forecasting, and operational workflows • Build scalable transformation logic using SQL, Python, dbt, and other modern data tools • Own and lead Teachstone’s data governance framework, including standards, policies, operating cadences, and decision rights • Define and maintain canonical enterprise data models for accounts, customers, products, segments, and lifecycle stages • Establish and enforce field definitions, naming conventions, data lineage, and documentation standards • Lead cross-system deduplication, normalization, and data quality initiatives • Chair or co-lead an enterprise data governance council, driving alignment across Growth, Delivery, CS, Finance, and Product • Ensure governance practices are practical, adopted, and embedded into day-to-day workflows—not theoretical • Manage and develop the data engineering and reporting team, including analysts and analytics engineers as applicable • Set clear priorities, standards, and delivery expectations for data pipelines, dashboards, and reporting outputs • Balance short-term reporting needs with long-term platform and governance maturity • Coach team members on best practices in data modeling, governance, and stakeholder partnership • Establish sustainable operating rhythms for intake, prioritization, and delivery of data work • Implement validation frameworks to monitor data accuracy, completeness, and consistency • Develop automated error detection, alerting, and traceability for critical pipelines • Ensure adherence to performance, privacy, and compliance requirements • Partner with Growth, CS, Delivery, Product, Marketing, and Finance to translate business needs into governed, scalable data solutions • Coach non-technical stakeholders on data ownership, stewardship, and responsible data practices • Help leaders understand how upstream data decisions affect downstream reporting, metrics, and AI use cases • Operate effectively within a matrixed organization with shared ownership and competing priorities • Optimize Snowflake compute usage, storage strategies, and query performance • Evaluate emerging tools and technologies to strengthen the data platform • Support long-term modernization, including real-time ingestion, event-driven pipelines, and AI/ML enablement

Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Family: Data Science and Data Engineering Job Qualifications: Skills: AWS Big Data, Data Analytics, ETL ToolsCertifications: NoneExperience: 7 + years of related experienceUS Citizenship Required: No Job Description: Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Data Engineer/ Developer will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives. The Senior Data Engineer/ Developer is responsible for designing, building, testing, and maintaining scalable data engineering components and platform services that power the EDW. This role delivers high-quality, secure, and performant data pipelines, transformations, and integrations aligned with federal standards and EDW SOW objectives for modernization, analytics, and operational excellence. RESPONSIBILITIES: - Develop a solution to integrate case management business data from the case management system into Snowflake EDW on a near real-time basis - Produce and maintain dimensional data models that form the basis for the data marts to satisfy the requirements of the data products - Develop and maintain downstream data marts and their corresponding ETL/ELT processes (on a near real-time basis or overnight batch depending on the individual uses case requirements) and their associated reports and dashboards - Develop and maintain comprehensive documentation including the STTMs, data models (logical and physical), design documents, testing documents and other related documents - Develop, deploy and maintain the data presentation and data reports for each of the data products using SAP Business Objects, Tableau, and/or other presentation tool(s) selected by the customer - Design and develop data ingestion, ETL/ELT pipelines, and transformation logic for near–real-time and batch workloads - Implement robust, reusable data services supporting analytics, reporting, and downstream data marts - Collaborate with architects to implement logical and physical data models in Snowflake - Develop and maintain high-quality, testable code using secure coding standards and best practices - Integrate data pipelines with cloud services, messaging, and storage components - Implement data quality checks, validations, and error-handling mechanisms. - Optimize pipeline performance, scalability, and cost efficiency - Support CI/CD-enabled deployments, including automated testing and promotion across environments - Participate in code reviews, design reviews, and sprint ceremonies - Support incident resolution and root cause analysis for data pipeline failures - Produce and maintain technical documentation, runbooks, and workflows. - Ensure deliverables meet federal security, governance, and audit requirements - Operates within an Agile federal delivery environment across multiple scrum teams - Collaborates closely with architects, DBAs, business analysts, and QA personnel - Accountable for code quality, performance, and delivery timelines - Expected to maintain audit-ready documentation and technical artifacts ​ REQUIRED EXPERIENCE & QUALIFICATIONS: - Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major, strongly preferred - 8 years of IT related experience with 7+ years’ experience specifically in developing IT and cloud infrastructures - Experience in software engineering and design architectures - Experience and understanding of best practices regarding system security measures - Experience with building and migration software and IT services to align to strategic business needs and goals - Experience in conducting research for advanced technologies to determining how IT can support business needs leveraging software, hardware, or infrastructure - Experience with AWS data and compute services - Experience with Airflow or equivalent orchestration tools - Knowledge of cloud messaging and storage services - Proven track record in software and data engineering roles - Hands-on experience building enterprise-scale data pipelines - Strong proficiency with SQL and data transformation techniques - Experience developing in cloud-based data platforms - Familiarity with Agile/Scrum delivery environments - Experience working in regulated or compliance-driven environments - Experience supporting federal EDW or analytics programs - Hands-on experience with Snowflake - Proficiency with ETL/ELT frameworks - Experience with streaming or near–real-time data ingestion - Familiarity with data governance, metadata, and classification standards - Experience mentoring junior developers CERTIFICATIONS (Preferred): - Snowflake SnowPro Core - AWS Certified Data Analytics – Specialty - Relevant programming or data engineering certifications COMMUNICATION & ORGANIZATIONAL: - Excellent presentation and communication (oral and written) skills - Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship - Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies - Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement - Demonstrated ability to work effectively, independently, and as part of a team GDIT IS YOUR PLACE: At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY: Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Lead, mentor, and grow a team of 8 data engineers, fostering a culture of accountability, technical excellence, continuous learning, and collaboration. • Establish and model agile delivery practices, including sprint planning, backlog grooming, retrospectives, and iterative delivery. • Build career development paths for team members and proactively recruit to scale the team as the platform evolves. • Serve as the primary IT interface for business stakeholders seeking data engineering capabilities, acting as both a trusted advisor and an accountable delivery partner. • Own the intake, prioritization, and roadmap planning process for data engineering work requests, balancing business urgency with technical capacity. • Partner with business leaders to identify and develop new data capabilities that drive competitive advantage — including reporting, analytics, and data product development. • Oversee day-to-day delivery and operational support of the current SQL Server-based data platform, ensuring high availability, performance, and data integrity. • Establish and enforce engineering standards for data quality, testing, CI/CD, documentation, and code review. • Define and monitor SLAs/SLOs for data platform services and hold the team accountable to operational excellence. • Embed data security and governance principles into all aspects of platform design and delivery. • Partner with Information Security, Compliance, and Architecture teams to ensure data assets are properly protected, cataloged, and governed. • Champion data stewardship practices across both engineering and business teams. • Collaborate closely with infrastructure and cloud engineering teams to ensure underlying compute, storage, and networking resources are performant, well-maintained, and cost-optimized. • Serve as a key stakeholder in infrastructure capacity planning and cloud cost management conversations. • Define and own the enterprise vision and multi-year roadmap for migrating from SQL Server to Azure Databricks, including the Lakehouse architecture, Delta Lake design, and data pipeline modernization strategy. • Develop a compelling, business-aligned business case — quantifying value, risk, and ROI — and present it to IT and company leadership to secure executive sponsorship and funding. • Build and maintain alignment across business, IT, Finance, and Infrastructure stakeholders throughout the migration lifecycle. • Lead phased execution of the migration, ensuring continuity of existing operations while progressively transitioning workloads to the new platform.

As our Software Engineer II, you will join our engineering team that is responsible for building the state-of-the-art data platform foundation for the company. Each day, you will design, develop, and maintain software applications that handle and process large volumes of data. To thrive in this role, you must have excellent problem-solving and analytical skills, with excellent verbal and written communication skills R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. Here’s what you will experience working as a Software Engineer II: - Designing, developing, and maintaining software applications that handle and process large volumes of data. - Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data. - Building and optimizing data models and databases for performance and efficiency. - Writing code to extract, transform, and load data from various sources into data warehouses or data lakes. - Implementing data quality checks and data governance processes to ensure data accuracy and consistency. - Troubleshooting and resolving software and data-related issues. - Working with big data technologies such as Hadoop, Spark, and Kafka. - Conducting performance testing and optimization of software applications that handle large datasets. - Strong problem-solving, analytical thinking, and communication skills are also essential for this role. Qualifications: - Minimum 2 years’ experience as a professional software developer using modern programming or scripting languages. - 2 years’ experience following a structured Software Development Methodology that has a defined software development life cycle, with recent Agile experience preferred. - Previous experience working with healthcare data. - Experience using one of the following programming languages: Java, Scala, Python - Experience in Big data technologies like Spark, Hadoop, Kafka is a plus. - Experience with Databricks and/or Snowflake is a plus. - Experience in Cloud technologies like Azure or AWS is preferred. For this US-based position, the base pay range is $58,240.00 - $140,451.76 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. This job is eligible to participate in our annual bonus plan at a target of 5.00% The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package. R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories. If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance. CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent To learn more, visit: R1RCM.com Visit us on Facebook