DHHS-ITD is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment built on Microsoft Azure and Power BI for the Child Welfare and Medicaid Program(s).
The Department of health and human services requires the assistance of a contract resource to serve as a Data Engineer responsible for the design, development, and optimization of data pipelines and analytics solutions/dashboards on cloud-based data platforms. This work will leverage Azure Synapse Analytics, Power BI, and integrations with Salesforce or Curam/Oracle to support program needs.
Key Responsibilities:
- Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services.
- Build and manage data ingestion workflows from Salesforce, including API integrations, schema alignment, and performance tuning.
- Develop and maintain data models, data transformations,and semantic layers to support Power BI reporting and analytics.
- Optimize Synapse pipelines, SQL queries, and data storage for performance, reliability, and cost efficiency.
- Troubleshoot pipeline failures, Salesforce API issues,and Power BI dataset/dataflow refresh problems.
Required/Desired Skills SkillRequired /DesiredAmountof ExperienceStrong Hands-on experience configuring, designing, developing and testing dashboards using Power
BIRequired5YearsExperience supporting Power BI datasets, dataflows, and DirectQuery/Import
models.Required5YearsExperience working with structured and semi-structured data formats (JSON, CSV, Parquet,
etc.).Required3YearsStrong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks
workflowsRequired3YearsSQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and
optimization.Required5YearsProgramming Languages: Strong proficiency in Python or Scala for data
processing.Required3YearsHands-on experience in developing efficient PL/SQL
proceduresRequired5YearsExperience with Programming and Scripting (SQL, T-SQL, and data query
optimization)Required2YearsSolid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring
tools).Required2YearsExperience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake
schema)Required2Years