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Cspring Interview Questions

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<h3>Job Description</h3><div>Job Description<div>Description:At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work — from data strategy and engineering to workforce transformation — improves lives across Indiana and beyond. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference. What You'll Do<ul><li>Engage with business and technical stakeholders to gather, analyze, document, define, and standardize business/data requirements (2%).</li><li>Perform or lead Gap Analysis between as-is and to-be systems to identify shortcomings (5%).</li><li>Develop and maintain documentation including requirement specifications, RTMs, acceptance criteria, process flows, and data mapping documents, using SharePoint and Confluence for version control and collaboration (2%).</li><li>Design, develop, and optimize complex data models and validation frameworks using SQL and Teradata (5%).</li><li>Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls (5%).</li><li>Represent the State/organization in interactions with the CMS federal team (alongside manager or as lead SME), addressing queries and serving as subject matter expert on CMS reporting standards (5%).</li><li>Oversee or ensure timely, accurate, error-free, and compliant submission of monthly extracts and quarterly CMS reports (claims, provider, eligibility, CMS-64.9 forms) (5%).</li><li>Lead enterprise level analytical initiatives supporting CMS reporting systems and Indiana healthcare programs (5%).</li><li>Conduct advanced data analysis, modeling, and automation using Excel (Power Query, Power Pivot, VBA macros, complex formulas, dynamic arrays, and scenario modeling) (10%).</li><li>Develop and maintain interactive dashboards and visualizations using Tableau and Power BI to identify trends, anomalies, compliance risks, and key performance metrics for executive and federal reporting (7%).</li><li>Define and implement enterprise data quality governance frameworks, KPIs, automated validation rules, and monitoring systems (5%).</li><li>Lead and coordinate complex testing/QA/UAT activities by establishing strategies, overseeing execution, and reviewing test cases prepared by junior analysts (5%).</li><li>Provide mentorship and technical leadership to junior analysts on advanced SQL, Informatica ETL, Power BI/Tableau development, and CMS processes (10%).</li><li>Recommend and drive implementation of process enhancements, tool upgrades, and automation initiatives for efficiency and compliance (10%).</li><li>Manage and analyze Treatment Episode Data Set (TEDS) Admission and Discharge data submissions for the Division of Mental Health and Addiction (DMHA) (4%).</li><li>Collaborate with the CMS State Support Team to analyze, document, and implement TMSIS (Transformed Medicaid Statistical Information System) updates and changes required by CMS (4%).</li><li>Research, interpret, and ensure application of HHS/CMS rules and regulations to maintain ongoing compliance with Indiana Medicaid/Medicare systems (7%).</li><li>Coordinate with the State Board of Accounts (SBOA) to design and deliver customized annual data extracts for audits and financial reporting, using automated workflows and secure transmission processes (4%).</li><li>Remote work requests will be considered consistent with company’s remote work policy.</li><li>Domestic travel required less than 2% of the time.</li></ul>Requirements:This position requires a:<ul><li>Bachelor’s degree in Computer Science, Information Systems, Systems Engineering, or a related field, or foreign equivalent</li><li>7 years of relevant experience in data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the Business Systems Analyst or relevant position</li></ul>This position also requires:<ul><li>7 years of experience with handling multiple projects/workstreams simultaneously</li><li>7 years of experience defining and executing test strategies, UAT, and QA methodologies</li><li>7 years of experience with Agile and Waterfall software development methodologies</li><li>7 years of experience using JIRA, Zephyr, and comparable tools for project tracking and test management</li><li>7 years of experience in SQL and Teradata for data extraction, modeling, and validation</li><li>7 years of experience developing data dashboards and analytical reports using Tableau and comparable BI tools</li><li>5 years of experience utilizing data quality frameworks and data governance best practices</li><li>5 years of experience with Medicaid including CMS reporting compliance experience.</li><li>Will accept any suitable combination of education, training, and experience.</li></ul>At CSpring, we unlock the potential of people and data. If you’re ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment — apply today!</div></div>

<h3>Job Description</h3><div>Job Description<div>Description: At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex business and technology challenges through modern data, analytics, and engineering solutions.We are seeking a Senior Azure Data Engineer to help design, build, and support a next-generation enterprise data platform on Microsoft Azure. In this role, you will lead the development of scalable data pipelines and data products that power analytics, operational reporting, dashboards, and emerging AI/ML use cases. You’ll work closely with data architects, analytics engineers, data scientists, platform teams, and business stakeholders to deliver secure, high-performing, and cost-effective cloud data solutions. This role is ideal for someone with deep hands-on experience in Azure data technologies, modern Lakehouse architectures, and enterprise-scale data migrations. What You'll DoData Pipeline Engineering<ul><li>Design and develop reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Databricks, and/or Microsoft Fabric Data Factory</li><li>Build and maintain medallion architecture (Bronze / Silver / Gold) solutions using Azure Data Lake Storage Gen2, Delta Lake, Parquet, and structured streaming patterns</li><li>Develop performant ELT workflows leveraging pushdown processing to platforms such as Synapse Dedicated SQL Pool, Azure SQL, and Teradata</li><li>Create and optimize PySpark notebooks and distributed processing jobs in Azure Databricks or Synapse Spark</li></ul>Data Warehousing & Modeling<ul><li>Design dimensional data models using Kimball star and snowflake methodologies</li><li>Implement data vault patterns, Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data strategies</li><li>Optimize distributed SQL workloads in Synapse Dedicated SQL Pool and/or Fabric Warehouse environments</li><li>Tune partitioning, indexing, and query performance for enterprise-scale datasets</li></ul>Cloud Platform Engineering & DevOps<ul><li>Implement CI/CD processes for data pipelines using Azure DevOps, YAML pipelines, ARM templates, Bicep, and/or Terraform</li><li>Build monitoring, logging, and auditing solutions using Azure Monitor, Log Analytics, and KQL</li><li>Support code reviews, branching strategies, release management, and engineering standards across environments</li><li>Participate in troubleshooting and production incident response for critical data pipelines</li></ul>Migration & Modernization<ul><li>Lead or contribute to cloud modernization initiatives, including Informatica PowerCenter to Azure Data Factory migrations</li><li>Support migration efforts from on-premises Teradata, Oracle, or SQL Server environments to Azure Synapse or Microsoft Fabric</li><li>Assist with workload assessments, capacity planning, and cloud cost optimization initiatives</li></ul> Requirements:What You Bring Required Qualifications<ul><li>Deep hands-on expertise with Azure Data Factory, including pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and Integration Runtime types (Azure, Self-hosted, and SSIS)</li><li>Strong experience with Azure Databricks and PySpark</li><li>Production experience with one or more of the following: <ul><li>Azure Synapse Analytics (Dedicated SQL Pools, Serverless SQL Pools, Spark Pools)</li><li>Azure Databricks (Delta Lake, Unity Catalog)</li><li>Microsoft Fabric (Warehouse, Lakehouse, OneLake)</li></ul></li><li>Strong understanding of Azure Data Lake Storage Gen2, including hierarchical namespace, RBAC/ACL security, lifecycle management, and governance</li><li>Experience with Azure Key Vault, Azure AD / Entra ID, managed identities, service principals, and private networking concepts</li><li>Experience monitoring and troubleshooting data solutions using Azure Monitor, Log Analytics, and KQL</li><li>Advanced SQL skills including window functions, CTEs, query optimization, execution plan analysis, and performance tuning</li><li>Strong Python skills for data engineering, including pandas, PySpark, REST API integration, and unit testing with pytest</li><li>Proficiency with T-SQL and familiarity with Spark SQL, KQL, PowerShell, and Bash scripting</li></ul> Preferred Qualifications<ul><li>5+ years of enterprise data warehouse or data engineering experience</li><li>5+ years of data modeling experience using ERWIN or similar modeling tools</li><li>2+ years of experience with Azure Data Factory and Snowflake</li><li>Experience working in healthcare or Medicaid environments</li></ul>Why CSpringAt CSpring, you’ll join a collaborative, mission-driven team focused on helping organizations use technology and data to improve outcomes and drive meaningful change. We value curiosity, accountability, continuous learning, and building strong partnerships with our clients and communities.If you’re passionate about modern cloud data engineering and want to work on impactful enterprise initiatives, we’d love to hear from you.Source role provided by user: ?filecite?turn0file0?L1-L46? </div></div>

<h3>Job Description</h3><div>Job Description<div>Description:At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you’re passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you’ll find meaningful work and purpose here. Why You’ll Love Working Here<ul><li>Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.</li><li>People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.</li><li>Strategic, Hands-On Work – From data analysis and documentation to client workshops and solution delivery, you’ll influence every step of the process.</li><li>Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.</li></ul>What You’ll Do<ul><li>Collaborate with business stakeholders and project teams to gather and document business and technical requirements.</li><li>Analyze entity relationship diagrams, file specifications, and database models to develop detailed ETL mappings, Web API designs, and BI report specifications.</li><li>Perform data analysis, cleansing, test data creation, and verification during design and testing phases.</li><li>Develop and execute SQL queries for data analysis, testing, and validation.</li><li>Create and maintain documentation including test plans, traceability matrices, work breakdown structures, and change requests.</li><li>Support user acceptance testing (UAT) and assist in the development of testing documentation and matrices.</li><li>Identify gaps in processes or requirements and recommend solutions to mitigate risks.</li><li>Facilitate customer meetings, including requirements gathering and JAD sessions.</li><li>Support Agile and structured project management methodologies throughout the project lifecycle.</li></ul>Requirements:<ul><li>Bachelor’s degree or equivalent work experience</li><li>5+ years of experience as a Data Analyst, Technical Business Analyst, or Systems Analyst in a data warehouse or IT environment</li><li>4+ years of experience analyzing database structures and developing specifications for ETL, Web APIs, or reporting</li><li>2+ years of experience developing SQL queries</li><li>3+ years of experience analyzing business processes and workflows</li><li>Experience working in a client-facing role with excellent communication skills</li><li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Visio)</li><li>Willingness to work in a hybrid work environment</li><li>Must be legally authorized to work in the United States</li><li>Must not require visa sponsorship</li></ul>Preferred Qualifications<ul><li>Experience in healthcare, Medicaid/Medicare, government programs, or similarly regulated environments</li><li>Experience with Agile methodologies</li><li>Background in ETL and data warehousing</li><li>Experience with Teradata SQL Assistant, SharePoint, and MS Project</li><li>Experience working with data modelers and developers to optimize physical data design</li><li>Strong problem-solving skills with the ability to analyze and interpret complex data sets</li></ul>Come Build With Us At CSpring, we unlock the potential of people and data. If you’re ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today!</div></div>

<h3>Job Description</h3><div>Job Description<div>Description:At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You’ll Love Working Here<ul><li>Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.</li><li>People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.</li><li>Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.</li><li>Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.</li></ul>What You’ll DoYou'll design, build, and support cloud data solutions on the Microsoft Azure stack for client engagements across government and healthcare.<ul><li>Build and orchestrate data pipelines in Azure Data Factory, moving data from source systems into curated, analytics-ready layers.</li><li>Develop transformation logic in SQL, Python, or PySpark, and tune it so it holds up as data volumes grow.</li><li>Design and maintain data models — dimensional, relational, or lakehouse — that make sense to the analysts and reporting teams who depend on them.</li><li>Work in Azure Synapse, Databricks, Azure SQL, and Azure Data Lake Storage Gen2 to build storage and compute patterns that fit the client's scale and budget.</li><li>Implement data quality checks, validation rules, and reconciliation so problems surface before a stakeholder finds them.</li><li>Build monitoring, alerting, and error handling into pipelines from the start, and respond when something breaks in production.</li><li>Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across development, test, and production environments.</li><li>Partner with client analysts, program staff, and technical leads to translate business questions into data requirements you can build against.</li><li>Document architecture, data lineage, and operational runbooks so the work is supportable after you hand it off.</li><li>Follow client security, privacy, and compliance requirements in how you access, move, and store sensitive data.</li></ul> Requirements:<ul><li>3+ years of hands-on data engineering experience, including 2+ years building on Azure.</li><li>Strong SQL — complex joins, window functions, stored procedures, and query performance tuning.</li><li>Practical experience with Azure Data Factory, including pipeline design, triggers, parameterization, and error handling.</li><li>Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL.</li><li>Python or PySpark for data transformation and automation.</li><li>Experience with data modeling and warehouse design concepts, including dimensional modeling.</li><li>Familiarity with Azure Data Lake Storage Gen2 and how to organize raw, curated, and consumption layers.</li><li>Version control and deployment discipline using Git and Azure DevOps.</li><li>Clear communication with non-technical stakeholders — you can explain what you built and why it matters.</li><li>Bachelor's degree or equivalent hands-on experience.</li></ul>Preferred Qualifications<ul><li>Prior consulting or client-facing delivery experience.</li><li>Power BI or supporting downstream reporting and analytics teams.</li><li>Microsoft Azure certification (DP-203 or equivalent).</li><li>Experience with data governance tooling such as Microsoft Purview.</li></ul>Come Build With UsAt CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today! </div></div>

<h3>Job Description</h3><div>Job Description<div>Description:At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results. We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here. Why You’ll Love Working Here<ul><li>Purposeful Projects – Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.</li><li>People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.</li><li>Strategic, Hands-On Work – From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.</li><li>Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.</li></ul>What You’ll DoYou will own the analysis work on data and technology projects from first conversation through user acceptance and go-live.<ul><li>Lead requirements elicitation with business stakeholders, technical teams, and client leadership through interviews, workshops, and working sessions.</li><li>Translate business needs into clear, testable documentation — business requirements, functional specifications, user stories, and acceptance criteria.</li><li>Map current and future state processes and make the gaps between them visible and specific enough to act on.</li><li>Profile and analyze source data to confirm that requirements are actually supportable, including writing your own SQL to check assumptions.</li><li>Build source-to-target mappings, data dictionaries, and business rule documentation alongside data engineering teams.</li><li>Serve as the connective tissue between business and technical stakeholders, keeping both groups working from the same understanding.</li><li>Support agile delivery — refine the backlog, size and clarify stories, and participate in sprint ceremonies with the delivery team.</li><li>Plan and coordinate user acceptance testing, including test scenarios, business tester onboarding, and defect triage through resolution.</li><li>Identify risks, dependencies, and scope changes early, and bring them to the project manager with options rather than just problems.</li><li>Present findings, recommendations, and status to client stakeholders in language they can act on.</li></ul> Requirements:<ul><li>7+ years of business analysis experience on IT or data delivery projects.</li><li>Demonstrated ability to run requirements sessions with mixed business and technical audiences and drive them to decisions.</li><li>Strong documentation skills across BRDs, functional specs, user stories, and acceptance criteria.</li><li>Working SQL skills — enough to profile data, validate assumptions, and investigate discrepancies independently.</li><li>Experience with process mapping and workflow documentation using tools such as Visio or Lucidchart.</li><li>Hands-on experience in agile delivery, including backlog refinement and sprint ceremonies.</li><li>Experience planning and supporting user acceptance testing through sign-off.</li><li>Excellent written and verbal communication, with the judgment to adjust for the audience.</li><li>Bachelor's degree preferred, or equivalent professional experience.</li></ul>Preferred Qualifications<ul><li>Experience on data warehouse, ETL, or business intelligence and reporting projects.</li><li>Background in government, public health, or healthcare environments.</li><li>Familiarity with Medicaid, public health data systems, HIPAA, or state and federal reporting requirements.</li><li>Proficiency with Azure DevOps, Jira, or Confluence for backlog and documentation management.</li><li>Exposure to data governance, data quality, or master data management initiatives.</li><li>Prior consulting or client-facing delivery experience.</li><li>CBAP, PMI-PBA, or agile certifications.</li></ul>Come Build With UsAt CSpring, we unlock the potential of people and data. If you're ready to lead meaningful projects, collaborate with passionate teams, and grow your career in a people-first consulting environment—apply today! </div></div>

<h3>Job Description</h3><div>Job Description<div>Description:At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work — from data strategy and engineering to workforce transformation — improves lives across Indiana and beyond. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference. Why You’ll Love Working Here<ul><li>Mission-Driven Work – Support the transformation of rural healthcare across Indiana through a landmark $207M federal investment. Your work will directly strengthen health outcomes for Hoosier communities.</li><li>People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.</li><li>Strategic, Hands-On Work – From program coordination and stakeholder engagement to data modernization and clinical readiness, you’ll influence every step of the process.</li><li>Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.</li></ul>What You’ll DoYou will serve as the bridge between leadership, teams, and external partners — analyzing, documenting, and validating what the program needs from its data, then building the products that answer it.<ul><li>Create data products for strategic activities covering grant operations, initiative outcomes and metric tracking, fiscal analyses and trends, and support for coordination of the program evaluation vendor.</li><li>Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes.</li><li>Facilitate stakeholder discussions, working sessions, and data management related to data sources with internal and external stakeholders.</li><li>Review solution designs and deliverables to ensure alignment with documented requirements and business objectives.</li><li>Coordinate internally with the Data Operations team to ensure data architecture, infrastructure, and governance capabilities within the enterprise data warehouse.</li><li>Prepare documentation, briefings, and reports for leadership, governance bodies, and project teams.</li><li>Develop timelines, risk registers, and impact summaries for data activities for leadership.</li><li>Coordinate with internal teams (IT, legal, finance, initiative leads) and external partners (vendors, providers, regional coalitions, and stakeholders) as needed.</li><li>Balance technical constraints, operational realities, regulatory considerations, and diverse stakeholder needs while maintaining high data quality and governance standards.</li><li>Support other related Rural Health Transformation activities as requested.</li></ul> Requirements:<ul><li>Bachelor's degree from an accredited university in public health, health informatics, information systems, or a related field.</li><li>3+ years of directly applicable experience in data analysis, informatics, or epidemiology.</li><li>Demonstrated experience gathering and documenting requirements for complex, multi-stakeholder systems or programs.</li><li>Experience working cross-collaboratively with internal divisions or external partners.</li><li>Excellent written and verbal communication skills, including experience working with both technical and non-technical audiences.</li><li>Experience with analytical tools as well as visualization tools such as Tableau.</li><li>Proficiency with common productivity and project management tools (Microsoft O365, project management platforms, collaboration tools).</li><li>Independent judgment and critical thinking — comfort working through ambiguity and evolving requirements with minimal guidance.</li></ul>Preferred Experience<ul><li>Master's degree in public health, health informatics, or a related field.</li><li>Familiarity with public health program implementation and evaluation methodologies.</li><li>Familiarity with conducting scientific research literature reviews.</li><li>SQL and hands-on experience querying an enterprise data warehouse.</li><li>Prior experience in a state agency, grant-funded program, or other government environment.</li><li>Background in rural health, health equity, or Medicaid data.</li></ul>At CSpring, we unlock the potential of people and data. If you’re ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment — apply today!</div></div>

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