Senior Software Engineer - Big Data

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build scalable data lake architecture and cloud-native data platforms. Develop distributed backend systems, APIs, and event-driven services. Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

Key Highlights

Design and build scalable data lake architecture

Develop distributed backend systems and APIs

Collaborate with cross-functional teams

Key Responsibilities

Design, develop, and maintain scalable data lake architecture and cloud-native data platforms

Build and optimize high-volume data ingestion, transformation, and integration pipelines

Develop distributed backend systems, APIs, and event-driven services

Collaborate with product, analytics, business intelligence, and engineering teams

Ensure data quality, integrity, governance, and security

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Technical Skills Required

AWS cloud services S3 Glue Athena Lake Formation Lambda Step Functions API Gateway Kinesis Python SQL TypeScript Node.js Snowflake Redshift BigQuery Athena Data quality frameworks Entity resolution Data cleansing Anomaly detection Governance practices CI/CD pipelines Infrastructure automation Serverless architectures Containerized services Deployment best practices

Benefits & Perks

Competitive salary ranging from $120,000 to $150,000 annually

Fully remote work environment

Comprehensive health, dental, and vision coverage

401(k) plan with company matching contributions

Internet or mobile phone reimbursement subsidy

Generous paid time off program

Paid holidays

Half-day Summer Fridays

Professional development and career growth opportunities

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Nice to Have

Exposure to AI-assisted development tools, machine learning workflows, or generative AI technologies

Job Description

This is an exciting opportunity for an experienced software engineer to help shape the foundation of a next-generation data platform powering large-scale, data-intensive applications. In this role, you will design and build scalable data ingestion, transformation, and integration solutions using modern cloud-native technologies. Working at the intersection of data engineering and backend development, you will contribute to the architecture of a robust data lake ecosystem that supports APIs, analytics, machine learning initiatives, and customer-facing products. You'll collaborate closely with cross-functional teams while driving technical excellence across distributed systems, event-driven architectures, and high-volume data pipelines. The position offers significant ownership, technical influence, and the flexibility of a fully remote environment.

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