Data Engineer - Remote in Nashville, TN, US
Nashville, North Carolina, United States of America
Contract
2 weeks ago
Key skills
PythonSQLArtificial IntelligenceData EngineeringData WarehousingAnalyticsSnowflakeAirflowApache AirflowAWSS3GlueGitGitHubCI/CDStakeholder ManagementCommunication
About this role
Job Title: Data Engineer
Location: Remote in Nashville, TN, US
Can do Only W2, No C2C
Job Summary:
- Kforce is seeking an experienced Data Engineer to support a modern cloud data environment. The ideal candidate will have exceptional SQL expertise and proven experience designing, building, and optimizing scalable, complex data transformation pipelines.
- This role requires strong hands-on experience with SQL, Snowflake, Data Warehousing, Data Modeling, and Data Engineering practices. The candidate will work independently, support production-grade data workflows, and collaborate with cross-functional teams to deliver reliable analytics solutions.
Key Responsibilities:
- Design, develop, and optimize complex SQL-based data transformation pipelines at enterprise scale.
- Translate business requirements and logic into efficient, maintainable, and scalable SQL workflows.
- Perform advanced SQL development including:
- Query optimization
- Analytical functions
- Set-based operations
- Complex transformations
- Build and maintain enterprise data warehouse solutions using modern data engineering practices.
- Develop and implement data models including:
- Star schema
- Snowflake schema
- Denormalized data models
- Design, develop, and maintain scalable data processing workflows.
- Implement data quality frameworks, automated validation processes, and testing strategies.
- Support production-grade data pipelines, monitoring, troubleshooting, and issue resolution.
- Work with orchestration and scheduling frameworks for automated data workflows.
- Collaborate with business stakeholders, analysts, and engineering teams to simplify complex technical concepts.
- Follow Git-based development workflows and CI/CD practices.
- Ensure data integrity, reliability, performance, and availability across platforms.
Required Skills:
- 7+ years of experience in Data Engineering (DE III level)
- 3+ years of experience in Data Engineering (DE II level)
- Advanced to expert-level SQL development experience.
- Strong experience designing and optimizing complex SQL transformation logic.
- Hands-on experience with Snowflake in enterprise data warehouse or analytics environments.
- Strong knowledge of:
- Data Engineering concepts
- Data Warehousing
- Data Modeling
- Dimensional Modeling
- Data Processing
- Analytics platforms
- Experience with:
- Snowflake Tasks
- Data pipeline orchestration
- Workflow scheduling
- Production data workflows
- Experience with Git-based workflows (GitHub preferred).
- Strong understanding of:
- Data quality frameworks
- Automated testing
- Data validation processes
- Familiarity with:
- COPY INTO
- Snowflake-native ingestion patterns
- Snowflake scheduling and orchestration capabilities
- Strong analytical and problem-solving skills.
- Ability to work independently and manage production systems.
Preferred Qualifications:
- Hands-on experience with Python for:GitHub
- Data processing
- Automation
- Pipeline development
- Experience with CI/CD implementation patterns.
- Experience with Actions.
- Experience with AWS cloud services, including:
- Amazon S3
- AWS Glue
- Exposure to:
- Apache Airflow DAG development
- Managed Airflow environments (MWAA)
- Experience working in large-scale enterprise data ecosystems.
- Experience with:
- SRE-style automation
- Monitoring
- Observability frameworks
- Healthcare domain experience including:
- PHI/PII data handling
- Healthcare claims lifecycle
- EDI 835/837 formats
- Exposure to Artificial Intelligence and modern analytics environments.
Soft Skills:
- Excellent verbal and written communication skills.
- Ability to explain complex technical concepts clearly.
- Strong analytical mindset with structured problem-solving approach.
- Detail-oriented with strong focus on data accuracy.
- Proactive and accountable when managing production systems.
- Ability to collaborate effectively with cross-functional teams.
- Strong ownership mindset and ability to work autonomously.
- Effective conflict resolution and stakeholder management skills.
Mandatory Skills:
- Advanced SQL / Expert SQL
- Data Engineering
- Snowflake
- Data Transformation Pipelines
- Data Warehousing
- Dimensional Modeling
- Data Modeling
- Snowflake Tasks
- COPY INTO
- Data Quality & Validation
- Testing Frameworks
- Git / GitHub Workflows
- Workflow Orchestration
- Scheduling
- Cloud Data Platforms
- Production Data Support
Best Regards:
Peerbhi SK
Phone:
Email: peerbhi