Data Engineer/ Python Developer

Job Description

Data Engineer – Houston, TX (Hybrid)

We are seeking a strong Data Engineer with hands-on experience across SQL/NoSQL databases, advanced Python development, and real-time application architecture. This role supports both development and production support in a high-performing, user-interactive environment.

Requirements

5+ years of experience in data engineering and working with SQL and NoSQL databases such as Oracle, SQL Server, Postgres, DB2, Elastic, and MongoDB

Advanced Python development skills, including experience building FastAPI microservices

Advanced application development experience implementing complex business logic using SQL procedures and NoSQL utilities

Experience designing and developing scalable and performant processes, including large datasets, high transaction volumes, concurrent users, and optimized API performance

Development experience with real-time, user-interactive applications and communication between UI and databases (various protocols and data formats)

Experience utilizing LLM models, coding agents, and testing agents as part of the development lifecycle

Ability to balance application development and support activities in parallel

Experience working directly with business users to understand requirements and deliver functionality

Strong analytical skills and the ability to troubleshoot, problem-solve, and learn quickly (including leveraging AI tools)

Ability to multitask, switch priorities, and self-manage workload effectively

Bachelor’s degree in Computer Science or a related field

Must be onsite in Houston at least 3 days per week

Not a Fit

Candidates with the following backgrounds will not be considered:

Experience limited to ETL, backend data pipelines, or database-to-database transfer processes

Experience focused only on cloud platforms (Azure, GCP, AWS) without on-prem or application-focused engineering experience

Hybrid remote