Software Engineer – Data Pipelines & Cloud Analytics

EverWatch Corporation; San Antonio, Northern (TX, KY); Hybrid; USD 132,000 - 153,000; Full time

Job summary

EverWatch Corporation in the United States is seeking a Software Engineer to design, develop, and deploy end-to-end software solutions in a fast-paced, agile environment, supporting critical government missions.

You will build analytic data processing workflows using Python and Java, develop data pipelines, and work with Spark, SQL/NoSQL on cloud platforms (AWS/Azure/ Google Cloud). Collaboration with cross-functional teams is essential to deliver scalable systems and future enhancements.

Qualifications

• Experience developing analytic data processing solutions using Python and Java.
• Experience building or maintaining data pipelines or analytic workflows.
• Knowledge of data processing and analysis of large datasets using Pandas, NumPy, or SciPy.
• Ability to develop solutions in a cloud-based environment such as AWS, Azure, or Google Cloud.
• Ability to work with large-scale data processing frameworks including Apache Spark or MapReduce.
• Ability to write and optimize queries using SQL and/or NoSQL databases.

Responsibilities

• Develop software and end-to-end data analytics solutions in an agile environment.
• Design and optimize data processing pipelines and workflows.
• Collaborate with cross-functional teams to implement system improvements and architecture.
• Ensure solutions align with current architecture and future requirements.

Skills

Python

Java

Data pipelines

Spark

SQL

NoSQL

Education

Bachelor's degree in Computer Science or Engineering

HS diploma or GED + 11+ years experience in software engineering or data analytics

Tools

AWS

Azure

Google Cloud

Job description

EverWatch Corporation in the United States is seeking a Software Engineer to design, develop, and deploy end-to-end software solutions in a fast-paced, agile environment, supporting critical government missions.

You will build analytic data processing workflows using Python and Java, develop data pipelines, and work with Spark, SQL/NoSQL on cloud platforms (AWS/Azure/ Google Cloud). Collaboration with cross-functional teams is essential to deliver scalable systems and future enhancements.