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Data Engineer (2)
WebSenor InfoTech
Actively HiringFull-time
Location
Remote, IN
Experience
2-4 years
Role
Data Engineer (2)
Salary
Competitive
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Job Description
Role Overview
We are seeking two offshore Data Engineers to support ongoing enterprise data engineering and advanced analytics initiatives. These roles will function as long-term, steady-state support resources, contributing to data platform operations, ETL development, and emerging AI-enabled analytics use cases. The ideal candidates will bring strong foundational data engineering expertise while being comfortable working in a modern analytics ecosystem that includes advanced tooling for data exploration and productivity acceleration.
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines to support enterprise data processing and analytics
- Perform data ingestion, transformation, and integration across multiple datasets and domains
- Support data engineering operations for ongoing analytics and reporting workflows
- Collaborate with business and analytics teams to explore datasets and enable investigative analysis
- Work with modern data tools to accelerate analysis and data discovery, while ensuring outputs are validated for accuracy
- Ensure data quality, reliability, and performance of pipelines and datasets
- Participate in continuous enhancement of data models and workflows
- Support production and non-production environments as part of an ongoing support
Requirements
- Strong experience in data engineering and ETL/ELT development
- Proficiency in SQL (advanced querying, optimization)
- Experience with data transformation frameworks
- Experience working with large-scale datasets in enterprise environments
- Experience with modern data platforms such as Snowflake or cloud data warehouses
- Experience with distributed data processing frameworks
- Familiarity with data pipeline orchestration tools
- Strong debugging and problem-solving skills
- Experience with data quality checks and validation frameworks
- Ability to work in an offshore delivery model supporting global teams
Skills
- SQL
- Snowflake
- ETL/ELT
- Python
- Data Orchestration
Nice to Have
- Experience supporting fraud, waste, and abuse (FWA) or similar investigative analytics use cases
- Familiarity with AI-assisted data engineering or analytics tools
- Exposure to healthcare data domains (claims, providers, clinical, etc.)
- Experience working in long-duration support / managed services environments
Required Skills
SQLSnowflakeETL/ELTPythonData Orchestration
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