Data Engineer

SoTalent is seeking a Data Engineer to build, optimize, and maintain enterprise-scale data solutions for analytics, reporting, and data-driven decision-making. The role works with cloud platforms and modern data engineering tools to deliver reliable, secure data products and insights, including from healthcare datasets.

Responsibilities

• Design, develop, and maintain scalable data pipelines using modern data engineering technologies and cloud-based platforms
• Build and optimize ETL/ELT processes to support enterprise analytics, operational reporting, and business intelligence initiatives
• Develop data models and database solutions that enable efficient reporting and advanced analytics
• Collaborate with business, product, analytics, and engineering teams to translate requirements into scalable data solutions
• Create interactive dashboards, reports, and visualizations that provide actionable insights for stakeholders
• Ensure data quality, integrity, security, and governance across enterprise data environments
• Integrate and transform diverse healthcare-related datasets to support analytical and operational needs
• Implement monitoring, validation, and observability processes to improve data reliability and performance
• Support workflow orchestration, automation, and deployment processes using modern DevOps practices
• Contribute to cloud modernization initiatives and next-generation analytics platforms
• Participate in Agile development activities, including planning, estimation, backlog refinement, and retrospectives
• Troubleshoot complex data issues and implement sustainable solutions
• Leverage AI-assisted development tools to improve productivity, code quality, testing, and documentation

Preferred

• Experience working with cloud-based data platforms and modern lakehouse architectures
• Knowledge of healthcare data domains, data privacy, governance, and regulatory compliance requirements
• Experience supporting enterprise analytics and reporting modernization initiatives
• Familiarity with healthcare interoperability standards and data integration frameworks
• Exposure to machine learning, predictive analytics, or AI-driven data solutions
• Experience implementing data quality, monitoring, and observability frameworks
• Cloud Data Platforms
• Lakehouse Architectures
• Healthcare Data Domains
• Data Privacy
• Data Governance
• Regulatory Compliance
• Enterprise Analytics
• Reporting Modernization
• Healthcare Interoperability Standards
• Data Integration Frameworks
• Machine Learning
• Predictive Analytics
• AI-Driven Data Solutions
• Data Quality
• Data Monitoring
• Data Observability Frameworks

Benefits

• Hybrid work setting

Company

• Recruitment media and candidate acquisition for employers
• New York, US
• https://sotalent.us/
• Founded in 2020
• 2-10 employees

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, or a related field, or equivalent practical experience
• 4+ years of experience in data engineering, software engineering, database engineering, or a related technical discipline
• Strong hands-on experience with data engineering platforms, data lakes, distributed processing frameworks, and cloud-based analytics solutions
• Proficiency in SQL for data modeling, query optimization, and performance tuning
• Experience developing solutions using Python for automation, data processing, and integration
• Expertise in designing and maintaining large-scale data pipelines and reporting solutions
• Experience with business intelligence and data visualization tools
• Familiarity with workflow orchestration, CI/CD pipelines, version control systems, and modern DevOps practices
• Experience working within Agile software development environments
• Strong analytical, troubleshooting, and problem-solving abilities
• Excellent communication and stakeholder management skills
• Experience working with cloud-based data platforms and modern lakehouse architectures
• Knowledge of healthcare data domains, data privacy, governance, and regulatory compliance requirements
• Experience supporting enterprise analytics and reporting modernization initiatives
• Familiarity with healthcare interoperability standards and data integration frameworks
• Exposure to machine learning, predictive analytics, or AI-driven data solutions
• Experience implementing data quality, monitoring, and observability frameworks
• 4+ years of experience in data engineering, software engineering, database engineering, or a related technical discipline.

Required skills

• SQL, Python, Data Pipeline Engineering, Data Modeling, Agile, Healthcare Data, Stakeholder Management

Experience

• 4+ years