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Python Kubernetes Software Engineer Data Jobs in Lakeland, FL

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive ... Experience with Docker, Kubernetes, and CI/CD pipelinesHands-on experience with Git and Agile ...

Software Engineer

Tampa, FL · On-site

$110K - $150K/yr

Independently execute software engineering tasks across the entire development cycle, including ... binding C++ to Python via pybind11 or Cython. * Kubernetes (K8s) Specialist: Skilled in ...

... data management. * Participate in the full software development life cycle, including the ... Utilize Python and web frameworks like Django to build user-friendly and accessible applications.

Backend development (C#, .NET, C++, Python, Node, etc.) * Data storage and messaging (PostgreSQL ... etc.) * DevOps (Docker, Kubernetes, ArgoCD, OpenShift, Jenkins, Terraform, GitLab Runner, etc.

Staff Software Engineer

Tampa, FL · On-site

$130K - $170K/yr

Software Engineering Excellence: Apply advanced problem-solving skills and methodologies to complex ... binding C++ to Python via pybind11 or Cython. * Kubernetes (K8s) Specialist: Skilled in ...

Python Developer - Remote

Brandon, FL · On-site

$80K - $120K/yr

We are looking for an experienced Sr. Python/Flask Full Stack Software Engineer to create and ... Design database structures, manage data models, and improve query performance within PostgreSQL ...

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Python Data Engineer

Purple Drive

Tampa, FL

$108K - $129K/yr

Contractor

Posted 15 days ago


Job description

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift. Strong expertise in Apache Spark for large-scale batch data processing. Hands-on experience with Apache Flink for real-time stream processing and event-driven data pipelines. Experience designing and implementing batch and streaming data architectures. Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts. Experience with ETL/ELT frameworks and data integration. Strong SQL skills and experience with relational and NoSQL databases. Experience with Apache Kafka or similar messaging/event streaming platformsStrong understanding of distributed computing and big data technologies. Experience with Docker, Kubernetes, and CI/CD pipelinesHands-on experience with Git and Agile development methodologies. Design and implement scalable, secure, and high-performance data architecture solutions on AWS. Build and optimize batch processing pipelines using Apache Spark. Develop real-time streaming data solutions using Apache Flink. Design end-to-end data ingestion, transformation, and processing pipelines. Define data models, governance standards, and architectural best practices. Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.