- Indianapolis, Indiana, United States
- Hybrid
- Contract
- $52–$67 per hour
Build, optimize, and manage large-scale data pipelines and solutions that power critical business insights and operations.
Compensation
The pay range for this position is $52.00 - $67.00/hr.
Responsibilities
- Architect and implement data pipelines, data lakes, and warehouse models using Azure Synapse Analytics, and Data Lake Storage.
- Develop and optimize complex T-SQL queries, views, stored procedures, and data transformations in both dedicated and serverless SQL pools.
- Leverage Apache Spark (via Synapse) to process and transform large-scale datasets using Scala and/or Python.
- Design and implement ELT/ETL workflows across structured, semi-structured, and unstructured data sources.
- Collaborate with business analysts, data scientists, and stakeholders to deliver reliable and performant data solutions.
Requirements
- Bachelor's degree in information systems, Computer Science, Engineering or equivalent