Back-End Software Engineer (Python)

JOB DESCRIPTION - contract through EOY with extensions - remote out of DFW

Insight Global is seeking a Back‑End Software Engineer to join a leading Financial Services client on an AI product team. This role is primarily focused on building and supporting Python‑based back‑end services that power internal AI applications. You will own application logic, APIs, and operational data stores, while partnering with data teams to enable analytics and reporting. This is a hands‑on software engineering role for someone who excels at building production‑quality Python services and is comfortable working end‑to‑end across application back ends. Experience with data pipelines and analytics enablement is valuable, but not the primary focus of the position.

Key Responsibilities

• Design, build, and maintain back‑end services and REST APIs (preferably using FastAPI) that support internal AI products.
• Own application‑level data stores, including schema design, table creation, and data modeling to support product functionality and reporting needs.
• Integrate back‑end services with Snowflake and other data platforms to enable usage, security, and performance analytics.
• Ensure analytics and auditability are considered during application design, partnering with data engineers where appropriate.
• Collaborate closely with data scientists, product managers, platform, and security teams to deliver features end‑to‑end.
• Maintain high engineering standards including testing, code reviews, CI/CD best practices, monitoring, and production reliability.

REQUIRED SKILLS AND EXPERIENCE

• 5–6 years of professional experience as a back‑end software engineer.
• Strong proficiency in Python for building production‑grade services and APIs
• Experience designing and delivering RESTful APIs using FastAPI (strongly preferred) or Flask.
• Solid SQL skills with hands‑on experience querying and integrating with Snowflake (ideal)
• Proven ability to design schemas and work with relational data models in support of application features.
• Comfortable owning services independently and delivering without heavy day‑to‑day oversight.

NICE TO HAVE SKILLS AND EXPERIENCE

• Experience contributing to or supporting ETL/ELT pipelines (e.g., dbt, in‑warehouse transformations). Familiarity with analytics enablement patterns (event capture, usage metrics, audit logging).
• Cloud platform experience (GCP preferred; AWS also valuable).
• Exposure to AI/ML back‑end systems such as inference APIs, model lifecycle integrations, or feature stores.
• Experience with workflow orchestration tools (Airflow/Cloud Composer) and CI/CD pipelines for Python services.
• Knowledge of API best practices including authentication/authorization, pagination, and OpenAPI/Swagger.

Compensation:

$60/hr to $70/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of

employment, including options for medical, dental, and vision insurance. Eligibility to enroll in

the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this

role will have access to paid sick leave and other paid time off benefits as required under the

applicable law of the worksite location.