Senior Data & AI Engineer

encora10; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

encora10 is seeking a senior software engineer focused on production data systems and AI-powered applications. You will connect reliable data pipelines with backend services and LLM-enabled capabilities, collaborating across engineering, product, data, and business teams.

You will build end-to-end ingestion pipelines using Databricks, Apache Spark, and DBT, design data architectures and governance, and implement tests, monitoring, and scalable, reliable services for analytics and AI platforms.

Qualifications

• At least 7 years of software engineering delivering production-grade systems.
• Strong Python and SQL skills and experience building cloud-native applications; AWS preferred.
• Hands-on experience with Databricks, Spark, and modern data engineering methods.
• Experience developing APIs, backend services, workflows, and distributed systems.
• Production experience with AI or LLM-powered products.
• Knowledge of data architecture, modeling, governance, data quality, and DBT-based transformation, testing, and validation.
• Familiarity with scalable patterns such as Medallion Architecture, Data Vault 2.0, or dimensional modeling, plus clear communication and collaboration skills.

Responsibilities

• Develop AI-enabled applications and backend services using Python, TypeScript, and cloud services, including agentic and LLM-based features.
• Build end-to-end ingestion and transformation pipelines with Databricks, Apache Spark, DBT, and related tools.
• Design data architectures, models, governance practices, and data quality controls for analytics and AI platforms.
• Implement pipeline testing and validation, along with monitoring and observability for production systems.
• Design APIs, workflows, and distributed services, contributing to decisions about scalability, reliability, and engineering practice.
• Work across technical and business teams to bring solutions into production.

Skills

Python

SQL

Cloud-native architecture

Data pipelines

LLM integration

Governance & data quality

Collaboration

Tools

Databricks

Apache Spark

DBT

AWS

APIs

Job description

Role overview

Build production data systems and AI-powered applications, connecting reliable data pipelines with backend services and LLM-enabled capabilities. The role spans data engineering, architecture, governance, and collaboration with engineering, product, data, and business teams to deliver scalable solutions.

Responsibilities

• Develop AI-enabled applications and backend services using Python, TypeScript, and cloud services, including agentic and LLM-based features.
• Build end-to-end ingestion and transformation pipelines with Databricks, Apache Spark, DBT, and related tools.
• Design data architectures, models, governance practices, and data quality controls for analytics and AI platforms.
• Implement pipeline testing and validation, along with monitoring and observability for production systems.
• Design APIs, workflows, and distributed services, contributing to decisions about scalability, reliability, and engineering practice.
• Work across technical and business teams to bring solutions into production.

Requirements

• At least 7 years of software engineering experience delivering production-grade systems.
• Strong Python and SQL skills and experience building cloud-native applications; AWS is preferred.
• Hands-on experience with Databricks, Spark, and modern data engineering methods.
• Experience developing APIs, backend services, workflows, and distributed systems.
• Production experience with AI or LLM-powered products.
• Knowledge of data architecture, modeling, governance, data quality, and DBT-based transformation, testing, and validation.
• Familiarity with scalable patterns such as Medallion Architecture, Data Vault 2.0, or dimensional modeling, plus clear communication and collaboration skills.

Nice to have

• Experience with AWS Bedrock or related AI orchestration tools, conversational or agent-based systems, Fivetran, Delta Lake, CI/CD, platform observability and governance, or internal developer and low-code tools.

Benefits and work setup

Remote work is offered for candidates based in Costa Rica, Peru, Colombia, or Bolivia.