Encora

Senior Data & AI Engineer

Bolivia

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

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What you’ll work on

Full posting

Design and maintain AI-powered applications and backend services in Python, TypeScript and AWS
Build end-to-end data ingestion and transformation pipelines with Databricks, DBT and Spark
Design data architectures, modeling, governance, data quality and monitoring across AI and data platforms
Drive technical decisions and deliver production-ready solutions with Engineering, Product, Data and Business teams

From the employer’s posting

Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS

Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies.

Design and implement scalable data architectures, modeling, governance, data quality, monitoring, and observability across AI and data platforms.

Collaborate with Engineering, Product, Data, and Business teams to deliver production-ready solutions while driving technical decisions

What you’ll bring

All qualifications

Preferred experience

Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks.
Experience with Fivetran, Delta Lake, and modern analytics ecosystems.
Knowledge of CI/CD practices for Data and AI Engineering.
Experience implementing monitoring, observability, and governance solutions for AI and data platforms.

Qualification wording

Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks.

Experience with Fivetran, Delta Lake, and modern analytics ecosystems.

Knowledge of CI/CD practices for Data and AI Engineering.

Experience implementing monitoring, observability, and governance solutions for AI and data platforms.

Tools in this posting

Python
SQL
TypeScript
AWS
Databricks
dbt
Delta Lake
Fivetran
Spark

Source

Job Title: Senior Data & AI Engineer Key Skills: Python, SQL, AWS, Databricks, Apache Spark, DBT, Generative AI, LLMs, Data Engineering, Data Architecture, TypeScript Experience: 7+ YOE.

Key Responsibilities - Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS, including agentic and LLM-powered solutions. - Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies.

- 7+ years of software engineering experience delivering production-grade systems. - Strong expertise in Python and SQL. - Experience building cloud-native applications, preferably on AWS.

- Strong expertise in Python and SQL. - Experience building cloud-native applications, preferably on AWS. - Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices.

Preferred Skills: - Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks. - Background in conversational AI, agent-based systems, and AI platform development.

- Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS, including agentic and LLM-powered solutions. - Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies. - Design and implement scalable data architectures, modeling, governance, data quality, monitoring, and observability across AI and data platforms.

- Experience building cloud-native applications, preferably on AWS. - Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices. - Experience designing APIs, backend services, workflows, and distributed systems.

- Strong knowledge of data architecture, data modeling, governance, and data quality frameworks. - Experience with DBT transformation pipelines, testing, and data validation. - Knowledge of scalable data architectures such as Medallion Architecture, Data Vault 2.0, and dimensional modeling.

- Background in conversational AI, agent-based systems, and AI platform development. - Experience with Fivetran, Delta Lake, and modern analytics ecosystems. - Knowledge of CI/CD practices for Data and AI Engineering.

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier listing.

Status in our records: Live
First seen by us: Oct 13, 2026 · 8 days ago
Recorded sightings: 106
Last seen by us: Oct 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Job Title: Senior Data & AI Engineer

Key Skills: Python, SQL, AWS, Databricks, Apache Spark, DBT, Generative AI, LLMs, Data Engineering, Data Architecture, TypeScript

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia.

Mode: Remote

We at Coforge are hiring Senior Data & AI Engineer (#22552) with the following skill set.

Key Responsibilities

Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS, including agentic and LLM-powered solutions.
Build scalable end-to-end data ingestion and transformation pipelines using Databricks, DBT, Apache Spark, and related technologies.
Design and implement scalable data architectures, modeling, governance, data quality, monitoring, and observability across AI and data platforms.
Collaborate with Engineering, Product, Data, and Business teams to deliver production-ready solutions while driving technical decisions, engineering practices, scalability, and reliability.

Required Skills & Qualifications

7+ years of software engineering experience delivering production-grade systems.
Strong expertise in Python and SQL.
Experience building cloud-native applications, preferably on AWS.
Strong hands-on experience with Databricks, Apache Spark, and modern data engineering practices.
Experience designing APIs, backend services, workflows, and distributed systems.
Hands-on experience developing AI or LLM-powered products in production environments.
Strong knowledge of data architecture, data modeling, governance, and data quality frameworks.
Experience with DBT transformation pipelines, testing, and data validation.
Knowledge of scalable data architectures such as Medallion Architecture, Data Vault 2.0, and dimensional modeling.
Excellent communication and cross-functional collaboration skills in fast-paced environments.

Preferred Skills:

Experience with AWS Bedrock, AgentCore, Strands, or similar AI orchestration frameworks.
Background in conversational AI, agent-based systems, and AI platform development.
Experience with Fivetran, Delta Lake, and modern analytics ecosystems.
Knowledge of CI/CD practices for Data and AI Engineering.
Experience implementing monitoring, observability, and governance solutions for AI and data platforms.
Familiarity with internal developer platforms, low-code solutions, or productivity tooling.

Posted On: 12-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Source details

View original posting ↗

Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Bolivia
Location: Costa Rica, Peru, Colombia, Bolivia. Mode: Remote We at Coforge are hiring Senior Data & AI Engineer (#22552) with the following skill set.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.greenhouse.io ↗Read the full description ↓

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