Encora

Senior AI Data Engineer

Costa Rica

Actively hiring, first seen by us 1 day ago

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

What you’ll work on

Full posting

Build and improve NER pipelines combining LLMs, gazetteers, pattern matching and blacklists
Extend NER capabilities to new content types, including live-stream content
Evolve the core entity management and governance platform
Design and query graph-based relationship models for traversal and visualization
Implement entity-level security and access controls across data retrieval

From the employer’s posting

Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.

Extend NER capabilities to new content types, including live-stream content.

Evolve and enhance the core platform for entity management and governance

Design and query graph-based relationship models to support traversal, visualization, and connected business context.

Implement entity-level security and access controls across data retrieval and exploration.

What you’ll bring

All qualifications

Preferred experience

Experience in Oil & Gas or other asset-heavy industries.

Qualification wording

Experience in Oil & Gas or other asset-heavy industries.

Apply at Encora

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 7, 20261 day ago
Recorded sightings: 1

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

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 54.

At Encora, jobs usually come down by about day 21.

From 11,508 similar postings that came down, and 86 of Encora’s. Coming down is not always a hire.

Encora is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is picking up
Takes jobs down quickly

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
Datadog
Elasticsearch
Kubernetes
Neo4j
PostgreSQL

Where the posting names them

- Knowledge of permission-aware data access and security filtering. - Proficiency in at least one programming language, such as Python, Java, or another language. Preferred Skills

- Applied NLP and NER experience, including LLM-based extraction and open-source models such as Gemma, Llama, GLiNER, or spaCy. - Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog. - Experience with data ingestion and synchronization from multiple source systems.

Job Title: Senior AI Data Engineer Key Skills: Data Engineering, Elasticsearch, OpenSearch, Knowledge Graphs, Neo4j, NLP, NER, LLMs, PostgreSQL, Kubernetes, AI-Assisted Development Experience: 7+ years

- 7+ years of software engineering experience, including building or managing data-intensive platforms in production. - Experience with search platforms such as Elasticsearch or OpenSearch, information retrieval, and entity resolution. - Knowledge of graph databases and knowledge graphs, such as Neo4j and Cypher.

- Experience with search platforms such as Elasticsearch or OpenSearch, information retrieval, and entity resolution. - Knowledge of graph databases and knowledge graphs, such as Neo4j and Cypher. - Applied NLP and NER experience, including LLM-based extraction and open-source models such as Gemma, Llama, GLiNER, or spaCy.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Title: Senior AI Data Engineer

Key Skills: Data Engineering, Elasticsearch, OpenSearch, Knowledge Graphs, Neo4j, NLP, NER, LLMs, PostgreSQL, Kubernetes, AI-Assisted Development

Experience: 7+ years

Location: Costa Rica, Peru, Colombia, Bolivia

Work Mode: Remote

At Coforge, we are hiring Senior AI Data Engineer (#006fu00000eClH3AAK-2) with the following skill set.

Key Responsibilities

Evolve and enhance the core platform for entity management and governance, including entity types, attributes, cross-references (XREFs), and relationships.
Build and improve Named Entity Recognition (NER) pipelines for text and files by combining LLM-based models, gazetteers, pattern matching, and blacklists.
Extend NER capabilities to new content types, including live-stream content.
Improve search and entity discovery through entity resolution, personalized search, filtering, and relationship navigation.
Design and query graph-based relationship models to support traversal, visualization, and connected business context.
Implement entity-level security and access controls across data retrieval and exploration.
Onboard new data sources and support integrations with consuming applications.
Translate business requirements into technical solutions and AI workflows, critically validating AI-generated code and designs.
Collaborate with stakeholders across business domains to shape and prioritize the platform roadmap.
Support team onboarding and knowledge sharing.

Required Skills & Qualifications

7+ years of software engineering experience, including building or managing data-intensive platforms in production.
Experience with search platforms such as Elasticsearch or OpenSearch, information retrieval, and entity resolution.
Knowledge of graph databases and knowledge graphs, such as Neo4j and Cypher.
Applied NLP and NER experience, including LLM-based extraction and open-source models such as Gemma, Llama, GLiNER, or spaCy.
Experience with PostgreSQL, Kubernetes, and observability tools such as Datadog.
Experience with data ingestion and synchronization from multiple source systems.
Strong systems thinking, architecture, and data modeling skills, with experience modeling complex business domains.
Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, Claude, ChatGPT, and agentic workflows.
Ability to critically evaluate, validate, and correct AI-generated outputs using sound engineering judgment.
Excellent communication skills.
Knowledge of permission-aware data access and security filtering.
Proficiency in at least one programming language, such as Python, Java, or another language.

Preferred Skills

Experience in Oil & Gas or other asset-heavy industries.

Posted On: 06-11-2026

Coforge is an equal opportunity employer and is committed to fostering an inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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