Data Scientist

Intellibee Inc; Indianapolis (IN); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Long-Term Stability

Comprehensive Health Coverage

401(k) Program

Green Card assistance

Job summary

IntelliBee seeks a Data Scientist/Data Engineer to drive data integration, pipeline development, governance, and modeling for high-quality data products. You will lead batch and streaming pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake, while optimizing warehouse workloads in Azure Synapse Analytics and enforcing HIPAA-aligned data governance.

Collaboration across architects, analysts, and PMs is essential.

Qualifications

• Master's degree or 4+ years data engineering experience
• Bachelor's + 2+ years in data engineering
• Certifications may substitute for formal requirements
• Databricks notebooks in PySpark, Spark SQL, and R
• ACID, MERGE, schema evolution and maintenance
• Medallion architecture and Auto Loader ingestion
• Unity Catalog for permissions and lineage
• GPU/cluster tuning and SQL warehouse optimization
• ADF Pipelines and Databricks Workflows management
• Synapse/ADF pipelines and CETAS/COPY INTO
• Monitoring with Azure Monitor and Log Analytics
• Strong written and verbal communication
• Lakehouse patterns between Synapse and Databricks
• Databricks/Data Engineer certifications desirable
• Power BI connectivity to Synapse
• 4 Years in related roles

Responsibilities

• Assist data strategy and governance through data integration efforts
• Build batch and streaming pipelines in Databricks
• Develop dimensional models and SQL workloads in Synapse
• Enforce data governance and security controls for PHI/PII
• Collaborate with data architects, scientists, analysts, PMs
• Document solutions with diagrams and comments
• Support enterprise data operations and policy improvements
• Translate business needs into technical designs
• Mentor junior staff as needed
• Monitor and optimize data workflows and pipelines

Skills

Databricks

PySpark

Spark SQL

Delta Lake

Azure Synapse Analytics

Azure Data Factory

Unity Catalog

Databricks Workflows

OPENROWSET / Parquet / Delta

Power BI

Git / Repos

Education

Master's degree in data science or related field

Bachelor's degree + 2+ years experience or 4+ years data engineering

Databricks / Azure certifications desirable

Tools

Azure Databricks

Azure Synapse Analytics

Azure Data Factory

Databricks Workflows

Delta Lake

Job description

Data Scientist

This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high‑quality, reliable data products for the agency.

Data Scientist, Indianapolis, IN, US

Data Scientist

This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high‑quality, reliable data products for the agency. Plays a key role in implementing the agency’s data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs.

Job Duties

• Assists with the data technology strategy, including resolvingstrategic data integration issues, such as data quality and stewardship,real-time,
• Event-based data integration, and crafting a universal vision for data integration
• Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems
• Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering
• Provides advice, training, and technical support for various projects
• Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel
• Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
• Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
• Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture
• Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs
• Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery
• Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy
• Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Assists in operations by conducting systems analysis; recommendingchanges in policies and procedures.
• The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time.

Skill Matrix

• Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; OR.... Required 4 Years
• Bachelor's degree in a related field plus 2+ years of relevant experience; or 4+ years of hands‑on experience in a similar data engineering role; OR.. Required 4 Years
• Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Year
• Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years
• ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z‑order, VACUUM) Required 4 Years
• Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years
• Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years
• Right‑sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years
• Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years
• Designing MPP warehouse tables, including distribution (hash, round‑robin, replicated), columnstore indexes, and partitioning Required 4 Years
• Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years
• Building star‑schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years
• Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years
• Workload management, resource classes, statistics, materialized views, result‑set caching, and pool scaling/pausing Required 4 Years
• ADLS Gen2 folder/file‑format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years
• Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years
• Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years
• Strong written and verbal communication skills Required
• Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years
• Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired
• Microsoft Certified: Azure Data Engineer Associate (DP‑203) if already held Highly desired
• Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years

Benefits At IntelliBee

• Long-Term Stability: Join us on a multi‑year opportunities with room to grow.
• Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
• Future Planning: Enroll in our 401(k) program and invest in your financial security.
• GC Assistance: We support immediate Green Card processing, if required.

Date Posted:22-Oct-2026