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# Python AWS Spark Engineer - Intermediate - Wilmington, DE

- **Company:** Innova Solutions
- **Location:** Wilmington, DE, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, JIRA, Big Data, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Migration, Serialization, Data Warehousing, Database Queries, Software Debugging, DevOps, Identity and Access Management, JSON, Python (Programming Language), Shell Script, Software Engineering, Parquet, Test-Driven Development (TDD), Apache Spark, HybridCloud, Git, Pyspark, Kubernetes, Avro, Maintaining Code, AWS Data Analytics, Front End Software Development, Restful APIs, Data Pipelines, Jenkins, Programming Languages
- **Published:** October 16, 2026
- **Apply:** https://www.disabledperson.com/jobs/76084289-python-aws-spark-engineer-intermediate-wilmington-de

## About the Role

§ Formal training or certification on software engineering concepts and 5+ years applied experience
§ Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.
§ Proficiency in one or more large-scale data processing distributions such as Java or Python Spark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.
§ Hands-on practical experience in system design, application development, testing, and operational stability
§ Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
§ Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
§ Strong organizational, problem-solving, and critical thinking skills; Strong documentation skills
§ Proficiency in Python or Java and proficiency in Spark
§ Hands-on experience on AWS services and its components along with good understanding on Kubernetes. AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge.
§ Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-L
§ AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager

Preferred qualifications, capabilities, and skills
§ Familiarity with modern front-end technologies
§ Experience designing and building REST API services using Java
§ Exposure to cloud technologies - knowledge on Hybrid cloud architectures
§ DevOps: Linux Scripting, Jenkins, Git, CI/CD, JIRA, TDD skills