Note: The job is a remote job and is open to candidates in USA. CRG is seeking a Senior Data Engineer to design, build, implement, and support core systems for enterprise data integration, analytics, and data science initiatives. The role focuses on developing data pipelines and architectures, optimizing platform performance and reliability, supporting data consumers, and contributing to DevOps, production support, and AI-driven engineering improvements.
Responsibilities
- Design, develop, and maintain enterprise data pipelines and integration solutions
- Build and support data ingestion, transformation, aggregation, and modeling processes using both batch and streaming frameworks
- Develop and maintain layered data architectures, including raw, staging, and curated data environments
- Optimize pipeline performance, reliability, and cloud compute costs
- Implement monitoring, alerting, and automated data quality processes
- Develop reusable frameworks and libraries that enable self-service analytics
- Support downstream consumers, including analysts, data scientists, and business stakeholders
- Participate in peer code reviews and contribute to engineering quality standards
- Collaborate in an Agile development environment with distributed engineering teams
- Contribute to CI/CD, deployment automation, and DevOps best practices
- Assist with production support, troubleshooting, and root-cause analysis
- Explore opportunities to leverage AI-driven development and automation tools
Skills
- • Bachelor's Degree in Computer Science or equivalent professional experience
- • 6+ years of experience in data engineering or software engineering (8+ years preferred)
- • Experience designing, building, and supporting production data systems
- • Strong SQL development skills, including query optimization and execution plan analysis
- • Experience building and maintaining ETL and ELT pipelines
- • Experience working with orchestration frameworks such as Airflow, Azure Data Factory, dbt, Matillion, SSIS, or similar technologies
- • Experience with modern cloud data platforms such as Databricks, Snowflake, Azure Synapse, Redshift, BigQuery, or comparable environments
- • Experience with both batch and streaming data pipelines
- • Understanding of data modeling methodologies, including relational, dimensional, Kimball, or Data Vault approaches
- • Experience implementing monitoring, alerting, and incident response processes
- • Experience with source control, CI/CD, and DevOps practices
- • Excellent communication, collaboration, and technical documentation skills
- • Hands-on experience with Databricks, Delta Lake, Unity Catalog, or Lakeflow
- • Experience with CDC, Kafka, or other real-time data integration technologies
- • Experience working with REST APIs and multiple ingestion patterns
- • Experience with Power BI, Tableau, or other analytics platforms
- • Experience collaborating with offshore engineering teams
- • Experience using AI tools to improve engineering workflows
- • Experience supporting master data management or entity resolution initiatives
Benefits
- Remote work
- Contract to Hire
Company Overview