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# Sr. Software Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $152,363.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Big Data, Data Infrastructure, Data Security, Data Warehousing, Github, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Subsystems, Snowflake, Apache Spark, Information Technology, Vertica, Software Coding, Jenkins, Databricks
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.com/job/us4deb9a3a35e742b8e3ebce189b9fc110/eaa

## About the Role

architectural, design, and technical choices to internal and external audiences; collaborate with project stakeholders to identify product and technical requirements; and guide and mentor junior level software engineers. Position is eligible to work remotely one or more days per week, per company policy.
REQUIREMENTS: Bachelor's degree, or foreign equivalent, in Computer Science, any Engineering, or related technical field, and five (5) years of experience developing software and data products using Python; developing data APIs using Java; performing ad hoc data exploration using SQL; writing code using Jenkins; implementing secure data compliance initiatives to data infrastructure using AWS cloud; using GitHub for version control; of which three (3) years includes developing machine learning models using Databricks and Apache Spark; leveraging Snowflake to perform data warehousing for large volumes of data; and querying data warehouses using Clickhouse., Apache Spark; Java (Programming Language); Python (Programming Language)

## Description

DUTIES: Provide technical leadership throughout the design process and assist in guidance regarding practices, procedures, and techniques; develop software and data products using Python; develop data APIs using Java; perform ad hoc data exploration using SQL; write code using Jenkins; implement secure data compliance initiatives to data infrastructure using AWS cloud; use GitHub for version control; develop machine learning models using Databricks and Apache Spark; leverage Snowflake to perform data warehousing for large volumes of data; and query data warehouses using Clickhouse; assist in tracking and evaluating performance metrics and ensure that the team delivers software on time, to specification, and within budget; work with the Quality Assurance team to determine if applications fit specifications and technical requirements; test and evaluate systems, subsystems, and components; act as a technical contact and liaison for outside vendors and/or customers; present and defend


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