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# Software Engineer

- **Company:** The Technology
- **Location:** United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, BigQuery, Code Review, Computer Programming, Data as a Services, Information Engineering, Data Governance, Data Visualization, Decision Support Systems, Power BI, SQL Databases, Tableau (Software), Information Technology, Graphite, Looker Analytics, Data Pipelines, Amazon Redshift
- **Published:** September 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/senior-software-engineer-509965305

## About the Role

Bachelor's or Master's degree in Computer Science, Data Science, or related field;

At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models;

Strong programming skills in SQL;

Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery);

Experience with data visualization tools such as Tableau, Looker, or Power BI;

Strong problem-solving and analytical skills, with experience in statistical modeling;

Excellent communication skills and ability to work collaboratively with cross-functional teams; and

Self-starter with the ability to work independently in a fast-paced startup environment.

## Description

Graphite is growing rapidly, and we're looking for our first data scientist to support product direction and growth.

Rethinking the way fast-moving eng teams write and review code every day is no small feat, and we believe that the best solutions are built when most talented, ambitious, and dedicated people from diverse backgrounds come together.

What you'll do

Analyze our data (100s of GBs) and help us answer data-driven questions;

Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization;

Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift;

Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization;

Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions;

Develop and implement data quality and data governance standards to ensure data accuracy and consistency;

Work with stakeholders to understand their data needs and translate them into technical requirements;

Mentor junior data engineers and data analysts, contributing to the growth and development of the data team; and

Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company.


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