Data Scientist

MillenniumSoft Inc; Indianapolis (IN); On-site; USD 49,000 - 70,000; Full time

Job summary

Millenniumsoft in Indianapolis, IN is seeking a Data Scientist for a 12-month contract on W2. The role focuses on designing, building, and maintaining data solutions using Azure Databricks and Azure Synapse Analytics to support agency data needs.

The candidate will handle data integration, pipelines, governance, and documentation while collaborating with cross-functional teams to deliver scalable data products. Local candidates only; US citizens/GC holders required.

Qualifications

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

Responsibilities

• Assists with the data technology strategy, including resolving strategic 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; recommending changes 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.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

Unity Catalog

ADF

Azure Data Factory

Python

SQL

Data modeling

Education

Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field

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

Relevant certifications and coursework may substitute for formal education/experience requirements

Tools

Azure Databricks

Azure Synapse Analytics

ADF Pipelines

Delta Lake

Job description

Title/Role:IT : DATSCIV1 : Data Scientist: DSBB
Location:Indianapolis, IN
Duration: 12 months
Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)
Note:
Pay Rate: $43.35/hr

Job Short Description:

• Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics.

Job Complete Description:

Local candidates only will be considered for this position.

• 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 resolving strategic 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; recommending changes 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.

Skills Required

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

Skills Highly Desired:

• Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus)
• Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held
• Power BI connectivity to Synapse (Import vs. Direct Query) and how model design affects dashboard performance - 4 Years