Overview
On Site
$50 - $65
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Python
ETL
Data infrastructure
AWS
Job Details
As a Senior Staff Software Engineer, you will collaborate closely with the data engineering team and work on developing and maintaining distributed data infrastructure, ETL/ELT pipelines, data applications, and integration solutions. You will get a chance to work with brilliant minds in the industry, work on complex use cases enabling steep learning curve, and build products from scratch while modernizing various applications.
Qualifications:
- 10 15 years of proven experience in software engineering, with a focus on data infrastructure and engineering.
- Expertise in object-oriented programming, design patterns, algorithm optimization, and problem-solving from first principles.
- Strong experience parsing unstructured log data, real-time data processing, distributed computing frameworks, and streaming data frameworks.
- Proficient in Python; experience with Java or Scala is a plus.
- Deep expertise in data engineering technologies, including ETL/ELT pipelines, data integration, and operational monitoring.
- Experience drafting proofs of concept (POCs) and collaborating cross-functionally to develop prototypes and production-ready solutions.
- Proficiency with cloud-based data platforms (AWS, Azure, or Google Cloud Platform).
Key Responsibilities:
- Design, build, and maintain event-driven distributed data infrastructureand data applications.
- Develop and optimize robust ETL/ELT pipelinesto support batch and real-time data workflows.
- Integrate and normalize diverse data sources, ensuring high standards of data quality, accuracy, and consistency.
- Lead the design and implementation of real-time data processing systems for analytics, operational intelligence, and reporting use cases.
- Collaborate cross-functionally with data scientists, ML engineers, and product teams to design end-to-end data solutions.
- Establish best practices for data engineering, including testing, monitoring, deployment automation, and observability.
- Mentor engineers and contribute to architectural decisions, technical strategy, and roadmap planning for the data platform.
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