TechTorch

TechTorch

AI Software Data Engineer US

Remote US · Senior

Sponsorship not specifiedDetected 166 days ago
PythonReactNext.jsBackend DevelopmentFull-Stack DevelopmentSQLBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsCI/CDMachine LearningSparkAirflowdbtData EngineeringNLPMLOpsA/B TestingCollaborationProblem Solving

About the role

  • This role is ideal for someone who started in software engineering, developed strong full-stack capabilities, moved into data engineering and analytics, and now applies AI tools and techniques to solve real enterprise problems.
  • You will work end-to-end - from React/Next.js frontends, through backend development in Python and data pipelines, to AI model integration and deployment - owning solutions from concept through production.
  • TechTorch teams work at the intersection of custom software engineering, modern data platforms, and applied AI.

Responsibilities

  • Develop secure, scalable application logic that integrates with data platforms and enterprise systems
  • Implement CI/CD pipelines, testing, and production-readiness standards
  • Collaborate closely with product, data, and AI teams to deliver cohesive user experiences
  • Design, build, and maintain scalable data pipelines and ELT workflows
  • Model and manage data in modern data platforms (e.g., Snowflake, Redshift, BigQuery, lakehouse architectures)
  • Enable analytics, reporting, and downstream AI use cases through well-designed data foundations
  • Build AI prototypes and MVPs end-to-end for clients - from data ingestion to user-facing experience

Requirements

  • 5+ years of experience across full-stack software engineering and data engineering
  • Solid hands-on experience with data engineering: pipelines, modeling, warehouses, ELT/ETL
  • Strong problem-solving skills and ability to translate business needs into technical solutions

Nice to have

  • Snowflake (including Cortex AI), dbt, Airflow, Spark
  • AWS services: Lambda, Step Functions, Bedrock, SageMaker
  • Exposure to MLOps, model lifecycle management, or AI governance
  • Experience in regulated or data-sensitive environments
  • We, Not Me - We win together.
  • Get Stuff Done - We execute with speed and precision - because in PE, time matters
  • AI First - We embed AI at the core, enabling scalable, high-leverage solutions
  • Agile Mindset - We adapt quickly and proactively seek better ways to move forward

Benefits

  • Flexible, remote-first working environment with high autonomy

Company info

  • We help private equity-backed companies modernize core systems, build new digital products, and deploy AI solutions that create measurable operational and commercial impact.
  • Our engineers collaborate across backend, frontend, data, and AI disciplines to deliver production-grade, scalable solutions - not demos or slideware.

This listing is sourced directly from TechTorch's careers page and normalized into a canonical job model.