Haystack
← Back to Jobs
Technology

Power BI and Azure Data Engineer - HYBRID

Chandra Technologies, Inc.Raleigh, NC🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This hybrid role at Chandra Technologies offers a fantastic opportunity to build and optimize data pipelines using cutting-edge Azure services and Power BI, directly impacting crucial health and human services initiatives. You'll thrive here if you're a mid-senior level Data Engineer eager to deepen your cloud expertise and contribute to meaningful projects while enjoying workplace flexibility. Apply today to leverage your skills and grow with a reputable company!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Description:

***Crop to Crop resumes are accepted

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 Skills:

Strong Hands-on experience configuring, designing, developing and testing dashboards using Power BI

Experience supporting Power BI datasets, dataflows, and DirectQuery/Import models.

Experience working with structured and semi-structured data formats (JSON, CSV, Parquet, etc.).

Strong experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows

SQL Mastery: Advanced query writing, ETL/ELT, performance tuning, and optimization.

Programming Languages: Strong proficiency in Python or Scala for data processing.

Hands-on experience in developing efficient PL/SQL procedures

Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)

Solid understanding of Azure cloud services (Synapse, Data Lake, Data Factory, Azure SQL, monitoring tools).

Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema)

Skills

Oracle
PL/SQL
SQL
Scala
T-SQL
ETL
Snowflake
Azure
Databricks
Power BI
Python

Similar jobs

Browse related jobs

Apply now