Senior Data Engineer
First seen by Alion on Sep 12, 2026.
About UsefulBI :
UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
Overview :
UsefulBI is looking for highly skilled candidates with expertise in generating powerful business insights from very large datasets. The primary aim is to enable needle-moving business impacts through cutting-edge statistical analysis. We are looking for passionate data engineers who can envision the design and development of analytical infrastructure to support strategic and tactical decision-making.
Experience Required :
- 5+ years' experience in Data Engineering.
- Expert in the management, manipulation, and analysis of very large datasets.
- Relevant analysis work and domain-area work experience.
Tech Stack :
- Python, Pyspark, Databricks, AWS/Azure, SQL, R, SAS.
Key Responsibilities :
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Skills
Python, Databricks, AWS, Azure, SQL, Data Engineering, ETL, SAS, R