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IMPACT Technology Recruiting

Software Engineer

IMPACT Technology Recruiting, Scottsdale, Arizona, us, 85261

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Overview

A client in the renewable energy space is seeking a

Software Development Engineer

with strong expertise in

Python and data engineering

to join the team. This role is onsite 3 days a week in Scottsdale, AZ. Position Overview

The Software Development Engineer will play a critical role in developing and maintaining data pipelines, databases, and an interactive monitoring platform that supports trading and operational decision?making. The position requires hands?on experience with data engineering, backend development, and automation of large?scale data workflows. Responsibilities

Build and maintain scalable ETL pipelines

to handle large volumes of real?time and batch data. Develop and optimize data storage systems

(SQL, MongoDB, and other database technologies) for performance and reliability. Write production?ready Python code

to automate data ingestion, transformation, and reporting workflows. Partner with data scientists to

deploy and monitor predictive models

into production environments. Contribute to the

design and architecture

of backend APIs and data?driven applications. Implement

CI/CD workflows, testing frameworks, and monitoring systems

to ensure system robustness. Troubleshoot and resolve issues in real?time data flows and pipelines. Participate in

code reviews, system design discussions, and documentation

to ensure engineering best practices. Qualifications

3+ years of professional software engineering experience , with a focus on

Python . Strong experience with

databases

(SQL, MongoDB, or similar). Experience with

time series databases

and modeling temporal data. Familiarity with

cloud services

(AWS, Azure, or equivalent), especially for big data and storage. Experience building

web applications or backend services

using frameworks such as

Flask or Django . Strong understanding of

software design patterns

and engineering best practices. Ability to work with

large?scale, unstructured datasets

and design scalable data solutions. Industry knowledge in

energy, trading platforms, or real?time systems

is a plus. Education

Masters degree in

Computer Science, Applied Math, or related field , or equivalent practical experience. Seniority level

Mid?Senior level Employment type

Full?time Job function

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