Senior Azure Databricks Data Engineer

Benefits:

• 401(k) matching

• Dental insurance

• Health insurance

• Vision insurance

Job Title: Senior Azure Databricks Data Engineer

Location: Indianapolis, IN (Hybrid)-Onsite one day per week

Position Type: Contract

Interview Mode: Web Cam

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.

Required/Desired Skills

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

Flexible work from home options available.