Engineer Jobs

About The Position

Requirements

• 1-3+ years of experience in software development or related fields.
• Bachelor's or advanced degree in a relevant field such as Computer Science, Data Engineering, Information Systems, or equivalent practical experience.
• Proficiency in Python, including experience writing scripts, automating workflows, or building data pipelines.
• Solid understanding of SQL and relational databases — writing queries, transforming data, and working with structured datasets.
• Exposure to CI/CD concepts, version control (Git), and software development best practices.
• Strong problem-solving skills and willingness to learn new technologies.
• Ability to work collaboratively in a team environment.
• Ability to handle sensitive information with discretion.

Nice To Haves

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with Docker or containerized environments.
• Experience with analytics engineering concepts and tools (e.g., dbt, data modeling, ELT pipelines).
• Familiarity with API or web frameworks (e.g., Flask, FastAPI)
• Exposure to data warehousing platforms (e.g., Snowflake, BigQuery, Redshift).
• Knowledge of JavaScript or frontend frameworks (e.g., React, Vue) we are actively growing our frontend capabilities and value candidates interested in this area.
• Experience with Python-based data application frameworks (e.g., Streamlit, Dash, Panel) for building internal tools and dashboards.

Responsibilities

• Develop, test, and maintain software applications, data pipelines, and internal tools.
• Assist with deployment processes, including working with containerized applications (Docker) across environments.
• Collaborate with team members to implement and improve CI/CD pipelines and automation workflows.
• Help monitor system performance and troubleshoot issues to ensure reliability and efficiency.
• Contribute to building internal tools and APIs to support business and data operations.
• Write clean, efficient Python and SQL code to support data workflows, reporting, and backend services.
• Assist in the design and maintenance of data models, transformations, and pipelines that support analytics and business intelligence needs.
• Participate in code reviews and team discussions to support continuous improvement.
• Work cross-functionally to understand requirements and deliver practical technical solutions.
• Communicate progress, issues, and updates clearly with team members and stakeholders.