Data Scientist
The Data Scientist role at Confidential Client involves designing and implementing advanced data integration and engineering solutions across secure systems, focusing on data quality, stewardship, and real-time event-based processing. The position requires collaboration with cross-functional teams to develop scalable data pipelines and models using Azure Databricks and Synapse Analytics, while ensuring compliance with data governance and HIPAA security standards.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client is seeking a Data Scientist to support data integration, engineering, and analytics efforts in a HIPAA-regulated environment. This is a full-time engagement (12+ months) based in Indianapolis, IN. The role focuses on building and maintaining batch and streaming data pipelines, dimensional models, and secure data access patterns using Azure Databricks, PySpark, Delta Lake, and Azure Synapse Analytics.
What You’ll Do
- Assist with the data technology strategy and resolve data integration challenges including data quality, stewardship, and event-based integration.
- Design, build, and maintain batch and streaming data pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake following a medallion (bronze/silver/gold) lakehouse architecture.
- Develop, load, and tune dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboards.
- Orchestrate and monitor data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery.
- Apply data governance and security controls (Unity Catalog permissions, RBAC, row/column-level security, data masking) to protect PHI/PII and meet HIPAA and agency policy requirements.
- Participate in requirements gathering, solution reviews, documentation, and explain technical designs to non-technical stakeholders.
- Provide training and technical support for project teams and contribute to documentation, diagrams, and clean, commented code.
What We're Looking For
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Hands-on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake.
- Experience with Azure Synapse Analytics (dedicated or serverless SQL pools) or equivalent analytical data warehouse platforms.
- Familiarity with orchestrating pipelines using Databricks Workflows, Azure Data Factory, or Synapse pipelines.
- Strong SQL skills and experience building dimensional models for reporting.
- Awareness of data governance, security, and privacy practices, especially handling PHI/PII under HIPAA.
- Clear communication skills to work with solution leads, architects, analysts, and project managers.
Nice-to-Have
- Experience implementing a medallion (bronze/silver/gold) lakehouse architecture.
- Familiarity with Unity Catalog or similar data catalog/permission tools.
- Prior work with healthcare data or other highly-regulated data domains.
- Experience tuning performance in Synapse or similar MPP systems.
Logistics & Employment Details
- Location: Indianapolis, IN — on-site or local to the Indianapolis area required.
- Duration: 12+ months (full-time).
- Employment type: W2 (Confidential Client requires local, W2 candidates).
- Eligibility: Candidates must be authorized to work in the U.S. and able to commute to the Indianapolis area as required.
- Note: This role involves working with sensitive health data and requires adherence to HIPAA and agency security policies.
Why Join
- Work with a modern Azure data stack (Databricks, Delta Lake, Synapse) on meaningful, regulated data problems.
- Opportunity to grow technical skills across data engineering, governance, and analytics in a collaborative environment.
- Contribute to solutions that protect sensitive data and support mission-critical reporting.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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