Location: Erie, PA (hybrid) OR Remote
Employment Type: Contract
Experience: 10 15 Years
Job Summary
We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies.
Key Responsibilities
- Design and develop scalable AWS cloud data platforms.
- Build and optimize ETL/ELT pipelines using SQL, PySpark, and Python.
- Work with petabyte-scale data infrastructure and modern data architectures.
- Develop solutions using AWS Glue, S3, Iceberg, Snowflake, Redshift, and Athena.
- Support data integration, streaming, metadata management, and data quality.
- Implement CI/CD and version control using Git.
- Provide technical leadership, architecture guidance, and mentoring.
Required Qualifications
- 10 15 years of Data Engineering/Data Architecture experience.
- Strong AWS experience including S3, IAM, and VPC.
- Advanced SQL, PySpark, and Python.
- Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog.
- Experience with Snowflake, Redshift, and Athena.
- Experience with AWS streaming services and Splunk.
- Strong understanding of ETL/ELT, metadata management, and cloud-native data platforms.
Preferred Qualifications
- Experience with petabyte-scale data environments.
- Insurance industry experience.
- Strong technical leadership and mentoring experience.
Primary Skills
AWS, Data Engineering, SQL, PySpark, Python, S3, IAM, VPC, AWS Glue, Glue Catalog, Iceberg, Snowflake, Redshift, Athena, Talend, dbt Core, AWS Streaming, Splunk, Git
One-Line Search Summary
Senior Data Engineer AWS SQL PySpark Python S3 Glue Iceberg Snowflake Redshift Athena Talend dbt Data Architecture
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