Software Engineer, Data Engineer

Overview

Location:

Austin, TX;
Durham, NC. Full-time position. We’re looking for a Software Engineer with strong Python skills to join our data and AI engineering team.

• Data Ingestion & Processing
  • Develop and maintain robust Python-based systems for ingesting unstructured data (text, PDFs, images, web, etc.).
  • Design scalable pipelines to clean, normalize, and prepare data for downstream ML/analytics use.
• API Integration & Connectors
  • Build and manage integrations with third-party APIs, internal systems, and external data providers.
  • Develop reusable connectors and services to support dynamic data environments.
• Software Development
  • Write clean, modular, production-ready Python code following best practices.
  • Work with cloud infrastructure (AWS, Azure, or GCP) to deploy scalable data services.
• Collaboration
  • Partner with data scientists to operationalize models and support real-time and batch inference.
  • Work cross-functionally with architects and product teams to translate business needs into technical solutions.
• Monitoring & Optimization
  • Implement logging, testing, and monitoring tools to ensure data reliability and system performance.
  • Continuously optimize code and systems for performance, scalability, and maintainability.

• 3–6 years of experience as a software engineer with a focus on Python.
• Strong experience working with unstructured data (e.g., documents, text, media).
• Experience building and consuming RESTful APIs and data connectors.
• Familiarity with data engineering tools and patterns (e.g., ETL, stream processing).
• Working knowledge of cloud platforms (AWS, GCP, or Azure).
• Experience with Git, CI/CD pipelines, and containerized environments (e.g., Docker).
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

• Experience with libraries/tools such as Pandas, PySpark, FastAPI, Apache Airflow, or similar.
• Background in supporting machine learning workflows or MLOps pipelines.
• Exposure to NLP or document intelligence use cases.
• Familiarity with data storage formats and databases (e.g., JSON, Parquet, SQL, No
  
  SQL).

• Competitive salary: $120,000 – $180,000/year (based on experience)
• Exciting projects at the intersection of AI, data science, and software engineering
• Flexible remote/hybrid work environment
• Growth and learning opportunities in a high-impact, client-focused tech firm
• Potential equity and performance-based bonuses