Databricks Jobs in Costa Rica.

Coherent Solutions

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DataBricks Developer (Digital Engineering)

Coherent Solutions · Moldova

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Business Intelligence Belarus Bulgaria Costa Rica Georgia Lithuania Mexico Moldova Other Countries Poland Portugal Romania Ukraine US Posted May 10, 2026

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
SQL
Python
Azure

What You'll Do

Develop and maintain data pipelines within the Azure-based data platform;
Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
Write, optimize, and maintain data transformations using Python and SQL;
Support and enhance existing production data systems;
Collaborate with a team of engineers on Databricks-based solutions;
Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

3+ years of experience as a Data Engineer
Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
Solid knowledge of SQL
Strong experience with Python
Experience working in Azure cloud environment
Good understanding of data pipelines and data platform architecture
Strong analytical and problem-solving skills
Excellent communication skills
English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.

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Coherent Solutions

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Data Engineer (Digital Engineering)

Coherent Solutions · Poland

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Business Intelligence Belarus Bulgaria Costa Rica Georgia Lithuania Mexico Moldova Other Countries Poland Portugal Romania Ukraine US Posted May 9, 2026

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

Azure
Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
Synapse (Pipelines)
Azure SQL pools
Python
SQL
Performance tuning

What You'll Do

Develop and maintain data pipelines in the Azure environment;
Work with Azure SQL Pools for data storage and processing;
Write and optimize SQL queries;
Perform performance tuning for queries and data workflows;
Collaborate with a team of engineers on Databricks-based solutions;
Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
Ensure reliability and consistency of data pipelines;

Job Requirements

3+ years of experience as a Data Engineer;
Solid proficiency in SQL;
Experience working in Azure cloud environment;
Experience with Azure SQL Pools;
Strong understanding of performance tuning for data workloads;
Experience working in Azure cloud environment;
Excellent communication skills;
English level: B2 (Upper-Intermediate) or higher;

Nice To Have

Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
Experience with Python;
Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
Familiarity with Databricks Asset Bundles;

What Do We Offer

The global benefits package includes:

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.

Ready to apply?

Coherent Solutions

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EN

Lead Data Engineer

Encora · Costa Rica

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CSA Billable Latin America Posted May 8, 2026

Job Title: Lead Data Engineer

Key Skills: Snowflake, Azure Databricks, DBT, Terraform, SQL, ETL/ELT, Azure Cloud, CI/CD, Data Migration, Data Architecture

Experience: +8 YOE.

Location Costa Rica

Mode: Remote

We at Coforge are hiring Position (#20978) with the following skill set.

Key Responsibilities

Lead and mentor a team of data engineers, ensuring best practices and high-quality deliverables.
Own and drive the end-to-end migration strategy from Snowflake on AWS to Azure Databricks and DBT.
Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure.
Design and implement Infrastructure-as-Code solutions using Terraform and manage CI/CD workflows.
Collaborate with cross-functional stakeholders to align data initiatives with business and technical goals.

Required Skills & Qualifications

8+ years of experience in Data Engineering, including leadership or technical lead experience.
Strong hands-on expertise with Snowflake, Azure Databricks, and DBT.
Deep experience with Terraform and cloud infrastructure automation.
Proven experience leading large-scale cloud data migration projects, preferably AWS to Azure.
Advanced proficiency in SQL, data modeling, and ETL/ELT frameworks.
Strong understanding of scalable data architecture and performance optimization.
Experience with CI/CD pipelines and Git-based version control.
Mandatory experience within the insurance industry and knowledge of insurance data domains.
Excellent communication, stakeholder management, and leadership skills.
Ability to work effectively in fast-paced and collaborative environments.

Preferred Skills:

Experience with data governance and observability frameworks.
Knowledge of security and compliance standards related to insurance or financial data.
Familiarity with Kafka, Event Hubs, or real-time data processing solutions.
Experience designing lakehouse architectures and cost-optimization strategies.
Exposure to multi-cloud environments and advanced automation practices.

Posted On: 8-05-26

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. 

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EN

Encora

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QA Automation Engineer (Digital Engineering)

Coherent Solutions · Moldova

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QA Automation Belarus Bulgaria Costa Rica Georgia Lithuania Mexico Moldova Other Countries Poland Portugal Romania Ukraine US Posted May 8, 2026

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.

Technologies

Python
Azure
SQL
Databricks
Automation frameworks

What You'll Do

Perform manual testing of application features and workflows;
Develop and maintain automation tests using Python;
Work with existing automation frameworks and improve test coverage;
Validate data and perform database checks using SQL;
Collaborate with development and QA teams to ensure product quality;
Identify, document, and track defects;

Job Requirements

3+ year of experience in QA;
Experience with Databricks ecosystem;
Experience working in Azure cloud environment;
Good understanding of data pipelines and data platform architecture;
Experience with Python for test automation;
Understanding of automation frameworks;
Experience working with SQL;
Strong knowledge of manual QA practices;
Attention to detail and analytical mindset;
Ability to work in a team environment;
English level: Upper-Intermediate (B2) or higher;

What Do We Offer

The global benefits package includes:

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.

Ready to apply?

Coherent Solutions

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Data Engineer (Databricks)

Coherent Solutions · Moldova

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Business Intelligence Belarus Bulgaria Costa Rica Georgia Lithuania Mexico Moldova Other Countries Poland Portugal Romania Ukraine US Posted May 8, 2026

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

Databricks (including Spark, Delta Lake, MLflow)
Python/Scala
SQL
ETL concepts
Distributed data processing
Data warehousing
Cloud Platforms & Storage

What You'll Do

Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
Develop and maintain documentation, data models, and technical standards;
Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
Strong proficiency in Python and/or Scala for data processing;
Deep understanding of distributed data processing, data warehousing, and ETL concepts;
Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
Experience with data governance, security, and compliance in cloud environments;
Excellent problem-solving, communication, and leadership skills;
English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.

Sep 25, 2025 12:50

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Coherent Solutions

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Scale Solutions Engineer

Databricks · Costa Rica

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Customer Success Operations Costa Rica Posted May 6, 2026

CSQ326R204

At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment.

The impact you will have:

You will ensure new customers have an excellent experience by providing technical assistance early in their journey
You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
You will work directly with multiple customers concurrently to provide technical solutions.

What we look for:

Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
1+ years experience in a technical role, preferably in the data or cloud field
Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required.
Knowledge of a programming language - Python, Scala, or SQL
Knowledge of end-to-end data analytics workflow
Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
Excellent time management and prioritization skills
Excellent written and verbal communication
Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models)

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

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ML/AI Ops Engineer

Veeam Software · San Jose, Costa Rica

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Revenue Intelligence – Data Science & Analytics 1009169 Costa Rica Posted May 4, 2026

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance.

What You’ll Do

Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools.
• Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks).
• Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform.
• Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows.
• Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations.
• Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services.
• Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices.

What You’ll Bring

Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
Experience in building Vector embeddings & RAG systems.
Familiarity in ML and LLM models development and libraries used.
Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
Familiarity with CI/CD pipelines (Azure DevOps preferred)
Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team.

Bonus Skills

Understanding ofdata quality frameworks and how they integrate into ML pipelines.
Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components.
Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
Experience with AI agent tools and MCP servers.
Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get

Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
Retirement and social security contributions through Costa Rica’s statutory programs
Life insurance equal to 24x monthly salary, plus disability and funeral coverage
Daily cafeteria subsidy
Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

Ready to apply?

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Veeam Software

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Senior Data Science Engineer

Veeam Software · Remote, Costa Rica

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Revenue Intelligence – Data Science & Analytics 1009169 Costa Rica Posted May 4, 2026

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We’re looking for a Data Science Engineer with 7+ years of experience to join the Revenue Intelligence team at Veeam. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI. You’ll work closely with cross-functional teams to turn data into actionable insights and intelligent applications.

What You’ll Do

Design and implement data science, machine learning, and AI solutions to support strategic decision-making
Perform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvements
Contribute to cross-functional initiatives involving data science, ML, and AI engineering use cases
Develop knowledge bases from structured and unstructured data to support RAG systems and AI agents
Build data-driven applications (e.g., Streamlit) to enable internal access to AI-powered capabilities
Partner with stakeholders to deliver actionable insights and recommendations
Continuously improve processes and identify opportunities for automation and efficiency

Technologies You’ll Work With

Python, SQL, Machine Learning & AI Frameworks, Databricks / PySpark, Data Visualization Tools (Streamlit, Tableau, Power BI, Qlik)

What You’ll Bring

7+ years of professional experience in data science, analytics, or machine learning roles
Strong proficiency in Python and SQL
Experience building scalable data science solutions (feature engineering, model training, evaluation, deployment, MLOps)
English Bilingual
Solid understanding of data engineering concepts (ETL/ELT, data modeling, pipelines, governance)
Experience integrating LLMs into production systems (prompt engineering, RAG, AI agents)

Bonus Skills

Experience with software engineering best practices (APIs, testing, version control, deployment)
Hands-on experience with Databricks or PySpark
Familiarity with data visualization platforms and storytelling with data
Experience using project management and collaboration tools (Jira, Trello, Confluence)
Strong technical writing and documentation skills

What You’ll Get

Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
Retirement and social security contributions through Costa Rica’s statutory programs
Life insurance equal to 24x monthly salary, plus disability and funeral coverage
Daily cafeteria subsidy
Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

Ready to apply?

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Veeam Software

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Data Analytics Engineer

Veeam Software · San Jose, Costa Rica

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Corp Tech, Data 1009138 Costa Rica Posted May 4, 2026

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

SQL and relational databases
Cloud platforms such as Azure, AWS, or GCP
Programming languages such as Python, Java, or Scala
Databricks and Spark
Data warehouse technologies such as Postgres or Vertica
ETL/ELT frameworks and data transformation tools

What You’ll Bring

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
Strong proficiency in SQL and experience working with databases and data warehouse systems
Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
Experience with at least one programming language such as Python, Java, or Scala
Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
Strong written and verbal English communication skills (B2 level or higher)

Bonus Skills

Experience working with Databricks and Spark
Experience with Azure cloud services
Experience with Postgres or Vertica data warehouse technologies
Experience working with Salesforce data
Experience building datasets used in analytics or reporting tools

What You’ll Get

Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
Retirement and social security contributions through Costa Rica’s statutory programs
Life insurance equal to 24x monthly salary, plus disability and funeral coverage
Daily cafeteria subsidy
Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

#LI-FT1
#LI-REMOTE

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

Ready to apply?

Apply to Veeam Software

Veeam Software

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Data Analyst

Konrad · San José, Costa Rica

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Platform San José Posted Apr 30, 2026

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help clients better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis.

You will work closely with senior analysts, data scientists, engineers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.

What You’ll Do

Support client and internal teams in understanding business questions and translating them into analytical requirements
Analyze data to identify trends, patterns, and insights under the guidance of senior team members
Build and maintain dashboards and recurring reports to track key metrics and performance indicators
Assist in documenting metrics, definitions, and analytics processes
Collaborate with data engineers and other analysts to support data modeling and reporting layers
Communicate insights clearly through visualizations, summaries, and presentations
Proactively identify opportunities to improve reporting, data quality, and analytical workflows

Qualifications

Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
Programming experience in Python, Bash scripting, R or related language
Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
Foundational understanding of data modeling and analytics best practices
Experience defining and tracking KPIs and metrics
A/B testing and causal analysis
Strong analytical and problem-solving skills with attention to detail
Clear written and verbal communication skills
Ability to work collaboratively in cross-functional and consulting-style environments
Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

Mentorship Program
Comprehensive Health & Wellness Benefits Package
Parental Leave Program
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Socials, Outings & Retreats
Culture of Learning & Development

#LI-Hybrid

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Konrad

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Data Architect

Konrad · San José, Costa Rica

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Platform San José Posted Apr 30, 2026

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best practices to solve complex business challenges. You design and oversee the development of scalable, secure, and reliable data solutions, and can clearly communicate the value of your designs to both technical and business audiences.

You will collaborate closely with data engineers, analysts, product managers, and clients to design and deliver data & AI solutions that drive measurable impact. You are comfortable working with large databases, designing enterprise data systems, and contributing to AI-enabled products in strict regulatory environments. As a senior contributor on the team, you bring a strong foundation in data science, system design, and modern data tooling.

What You’ll Do

Partner with clients and internal teams to identify opportunities where data science and machine learning can drive business value
Explore, analyze, and prepare large datasets for modeling and experimentation
Design, build, and validate statistical, predictive, and machine learning models
Develop and deploy scalable data science and AI solutions in collaboration with engineering teams
Evaluate model performance and continuously iterate to improve accuracy (including A/B testing and causal analysis)
Lead data modernization & migration projects at large enterprises
Communicate findings, methodologies, and recommendations clearly to technical and non-technical stakeholders
Stay current with emerging data science, AI, and machine learning techniques and tools

Qualifications

Minimum 5+ years of experience in a data science, machine learning, or solution architect roles.
Strong proficiency in Python (or similar) and experience with data science libraries and frameworks.
Solid foundation in statistics, probability, and machine learning techniques.
Experience designing and managing the build-out of cloud-based data platforms and data warehouses (e.g., Snowflake, Databricks BigQuery, Redshift).
Familiarity with model deployment, monitoring, and lifecycle management.
Experience with containerization (e.g., Docker) and building production APIs (e.g., FastAPI) and applications (e.g., Django or Flask).
Excellent communication skills in english.
Experience collaborating with data engineering teams on production-grade solutions.
Strong problem-solving skills and the ability to frame ambiguous business problems into technology solutions and gaining stakeholder buy-in.
Experience working in agile, consulting, or cross-functional environments.

Perks and Benefits

Comprehensive Health & Wellness Benefits Package.
Socials, Outings & Retreats.
Annual tech & travel allowance.
Culture of Learning & Development.
Flexible Working Hours.
Work from Home Flexibility.
Service Recognition Programs.

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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Data Engineer

Konrad · San José, Costa Rica

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Platform San José Posted Apr 30, 2026

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

Design, build, and manage robust data pipelines and data architectures.
Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
Optimize data workflows, ensuring reliability, scalability, and performance.
Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
Ensure data security and compliance with industry standards and best practices.
Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
At least 3 years of professional experience as a Data Engineer or similar role.
Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
Hands-on experience with data pipeline tools, cloud services, and storage solutions.
Strong programming skills in SQL, Python, or related languages.
Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
Excellent analytical, troubleshooting, and problem-solving skills.
Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Advanced English

Nice to have

Certifications related to Azure Data Engineering, Databricks, or Snowflake.
Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

Mentorship Program
Comprehensive Health & Wellness Benefits Package
Parental Leave Program
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Socials, Outings & Retreats
Culture of Learning & Development

Bonus Points

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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Konrad

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Senior Data Engineer

Konrad · San José, Costa Rica

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Platform San José Posted Apr 30, 2026

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

Design, build, and manage robust data pipelines and data architectures.
Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
Optimize data workflows, ensuring reliability, scalability, and performance.
Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
Ensure data security and compliance with industry standards and best practices.
Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
4+ years of professional experience as a Data Engineer or similar role.
Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
Hands-on experience with data pipeline tools, cloud services, and storage solutions.
Strong programming skills in SQL, Python, or related languages.
Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
Excellent analytical, troubleshooting, and problem-solving skills.
Ability to effectively communicate technical concepts clearly to non-technical stakeholders.
Advanced English

Nice to have

Certifications related to Azure Data Engineering, Databricks, or Snowflake.
Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

Comprehensive Health & Wellness Benefits Package
Parental Leave Program
Annual tech & travel allowance
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Socials, Outings & Retreats
Culture of Learning & Development

Bonus Points

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

Ready to apply?

Konrad

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EN

Senior Machine Learning Engineer

Encora · Costa Rica

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Latam Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
Strong proficiency in Python, SQL, and PySpark for large-scale data processing
Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
Experience working with containerized environments and Kubernetes for ML workloads
Ability to design evaluation metrics and validate model performance effectively
Strong communication and collaboration skills to work with cross-functional teams and stakeholders

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior Salesforce Data Cloud Developer

Encora · Costa Rica

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Brazil Non-PS Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Salesforce Data Cloud Developer (139975001), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design and implement data ingestion and integration processes to unify customer data from multiple platforms into Salesforce Data Cloud
Develop and maintain identity resolution and account unification rules to create accurate customer profiles and golden records
Build scalable pipelines for data ingestion, transformation, and environment promotion while ensuring data quality and governance
Collaborate with architects, data engineers, and business teams to enable data-driven insights and improve customer engagement strategies

Qualifications and skills

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
5+ years of experience in Salesforce development and enterprise CRM implementations
Strong proficiency in Apex, SOQL, SOSL, and Lightning Web Components (LWC)
Experience working with Salesforce APIs including REST, SOAP, and Bulk APIs for integrations
Hands-on experience with Salesforce Data Cloud or Customer Data Platform implementations
Strong experience with data ingestion, transformation, and large-scale data processing
Experience integrating Salesforce with external systems such as Azure, Oracle, or other enterprise platforms
Experience working with ETL tools such as Informatica, MuleSoft, Talend, or Databricks
Experience working in Agile or Scrum environments with cross-functional teams
Strong communication skills with the ability to explain complex technical concepts to both technical and business stakeholders

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior Salesforce Developer

Encora · Costa Rica

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Brazil Non-PS Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Salesforce Developer (139975001), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design and implement end-to-end data ingestion, integration, and mapping solutions into Salesforce Data Cloud (Data 360)
Build and maintain identity resolution and data unification processes to ensure accurate customer profiles and golden records
Develop scalable pipelines and integrations between Salesforce and external systems using APIs and ETL tools
Collaborate with cross-functional teams to enrich CRM data, support migrations, and enable data-driven business use cases

Qualifications and Skills

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
5+ years of experience in Salesforce development and platform customization
Strong proficiency in Apex, SOQL/SOSL, Lightning Web Components (LWC), and Salesforce APIs (REST, SOAP, Bulk)
Hands-on experience with Salesforce Data Cloud (Data 360), including data ingestion, harmonization, and identity resolution
Experience integrating Salesforce with external systems such as Azure, Oracle, or Siebel
Experience with ETL tools or processes such as Informatica, MuleSoft, Talend, or Databricks
Strong understanding of data modeling, large-scale data processing, and integration design patterns
Experience working in Agile or Scrum environments
Strong communication skills with the ability to explain technical concepts to both technical and business stakeholders
Advanced English proficiency for daily communication with clients and cross-functional teams

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior SDET - Data & Analytics

Encora · Costa Rica

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CSA Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior SDET - Data & Analytics (19742), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design and implement end-to-end testing strategies for data pipelines, including dbt models across bronze to gold layers
Collaborate with data engineers, analytics engineers, and business stakeholders to define testing scope and ensure data quality
Develop and maintain automated test frameworks, validate ETL processes, and investigate test failures
Drive continuous improvement in testing practices, processes, and quality standards across the data platform

Qualifications and Skills

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
7+ years of experience in Quality Engineering or SDET roles
Strong experience in data testing, ETL validation, and data warehousing concepts
Proficiency in SQL and scripting languages such as Python
Experience with dbt, Databricks, and modern data stack environments
Strong understanding of testing strategies including the Test Pyramid and automation best practices
Experience working with version control systems such as Git and collaborative workflows
Experience in insurance domain with understanding of data models and processes
Familiarity with BI tools such as Power BI or Tableau and data validation techniques
Strong communication, analytical, and problem-solving skills with ability to work in Agile environments

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior Site Reliability Engineer

Encora · Costa Rica

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CSA Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Site Reliability Engineer (20669), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Ensure reliability, scalability, and performance of data platforms built on Azure and Databricks
Design, implement, and maintain CI/CD pipelines, infrastructure as code, and automated deployment processes
Monitor systems, manage incidents, and drive root cause analysis and continuous improvement initiatives
Collaborate with data and platform teams to optimize performance, cost efficiency, and release management processes

Qualifications and Skills

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Engineering roles
Strong SQL skills for querying, optimization, and troubleshooting data issues
Proficiency in scripting languages such as Python and Bash
Hands-on experience with Microsoft Azure services including compute, storage, networking, and containers
Experience working with Databricks including Delta Lake, Unity Catalog, and data platform components
Strong experience building and managing CI/CD pipelines using Azure DevOps
Experience provisioning and managing infrastructure using Terraform
Strong knowledge of incident management, monitoring, and release management practices
Excellent problem-solving, communication, and collaboration skills in cross-functional environments

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior Software Development Engineer in Test

Encora · Costa Rica

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CSA Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Software Development Engineer in Test (19742), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design, develop, and maintain end-to-end dbt testing strategies, validating data transformations from bronze to gold layers using mocked and expected datasets
Collaborate with business stakeholders, Data Engineers, and Analytics Engineers to define testing scope, ensure requirement traceability, and guarantee data quality standards
Build, maintain, and optimize dbt models, unit tests, integration tests, and custom data validation frameworks within modern data platforms
Investigate failed test cases, review pull requests, contribute to Agile ceremonies, and continuously identify opportunities to improve technical processes, quality standards, and team effectiveness

Qualifications and Skills

7+ years of experience in Quality Engineering, with strong focus on data platforms and automation
Strong understanding of data warehousing concepts, ETL processes, and BI environments
Advanced proficiency in SQL and scripting languages such as Python for automation and validation
Hands-on experience with data validation techniques, data quality frameworks, and testing methodologies for data pipelines
Solid understanding of testing strategies, including the Test Pyramid and automated testing best practices
Experience working with version control systems (Git) and modern development workflows
Experience with dbt, Databricks, Docker, pytest, and development tools such as VSCode
Strong analytical skills with the ability to translate engineering and analytics requirements into comprehensive testing strategies
Proven track record of driving continuous technical, process, and team improvements
Nice to have: knowledge of data pipelines, Power BI, Tableau, cloud environments, automation testing frameworks, and data governance/compliance standards

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Senior Analytics Engineer

Encora · Costa Rica

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CSA Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Senior Analytics Engineer (20107), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Lead the migration of dashboards and reports from ThoughtSpot to Power BI, ensuring alignment with enterprise data standards
Design and build scalable data models and semantic layers to enable self-service analytics across the organization
Collaborate with data engineering teams to ensure reliable data pipelines and high-quality data sources
Optimize report performance, governance, and usability while supporting business users through training and onboarding

Qualifications and Skills

Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field, or equivalent practical experience
3–5+ years of experience in BI, analytics engineering, or reporting development
Strong expertise in Power BI including DAX, Power Query, data modeling, and performance optimization
Solid SQL skills with experience querying data platforms such as Azure Databricks
Experience designing data visualizations and applying storytelling techniques for business insights
Understanding of BI governance, security models, and role-based access control
Experience working in Agile environments with sprint planning and iterative delivery
Familiarity with Power BI Service administration, APIs, and CI/CD deployment pipelines
Experience with cloud data integration tools such as Azure Data Factory or Synapse
Strong communication skills with the ability to translate complex data into actionable insights for business stakeholders

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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EN

Lead Data Engineer

Encora · Costa Rica

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CSA Billable Latin America Posted Apr 29, 2026

Important Information

Location: Costa Rica

Work Mode: Hybrid

Job Summary

As a Lead Data Engineer (20627), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Lead and mentor a team of data engineers, providing technical guidance, code reviews, and enforcing best practices to ensure high-quality deliverables
Own and drive the end-to-end data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, and optimization
Design and oversee scalable, secure, and reliable data pipelines and cloud infrastructure using Azure and infrastructure-as-code practices
Collaborate with cross-functional stakeholders to align data initiatives with business goals and ensure efficient data integration and transformation

Qualifications and Skills

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
8+ years of experience in Data Engineering, including 2–3 years in a leadership or technical lead role
Proven experience leading data engineering teams and delivering large-scale data platform initiatives
Strong hands-on experience with Snowflake, Azure Databricks, and DBT
Deep expertise in cloud infrastructure and infrastructure-as-code tools, particularly Terraform
Extensive experience with cloud data migration projects, preferably from AWS to Azure
Strong experience with CI/CD pipelines and Git-based version control systems
Advanced proficiency in SQL, data modeling, and ETL or ELT design patterns
Strong understanding of data architecture, scalability, and performance optimization
Excellent communication, stakeholder management, and leadership skills, with experience working in insurance or financial data domains

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

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

Ready to apply?

EN

Encora

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Executive Assistant

Databricks · Costa Rica

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IT Costa Rica Posted Apr 22, 2026

P-1484

Databricks Executive Assistants are strategic partners who drive efficiency, foster collaboration, and enable our most senior leaders to scale their impact. As we continue to expand globally, we are seeking an experienced Executive Assistant in Costa Rica to support our executive leadership team. This role will work closely with Executives in Costa Rica and the United States, managing complex calendars, orchestrating high-impact meetings and events, and serving as a trusted liaison with internal and external stakeholders. Occasional travel may be required to support critical company initiatives and events.

Impact you will have:

Executive Assistants are empowered to focus on strategic priorities, resulting in a more effective and agile organization.
Proactively manage and optimize complex, multi-time zone calendars, ensuring alignment with business priorities and anticipating potential conflicts.
Independently plan, coordinate, and execute executive travel, team offsites, and high-visibility events, ensuring compliance with company policies and budget.
Act as the primary point of contact for all meeting and event requests, maintaining a high standard of service and responsiveness.
Build and maintain accurate records of meetings, events, and requests, ensuring timely follow-up and closure.
Prepare and review briefing materials, agendas, and follow-up documentation for executive meetings, ensuring leaders are well-prepared and informed.
Provide coverage and support for other executive staff as needed, demonstrating flexibility and a team-first mindset.
Handle highly confidential information with the utmost discretion and integrity.
Foster cross-functional collaboration by building strong relationships with other EAs, business partners, and stakeholders across the organization.

What we look for:

- 5+ years of executive administrative experience, preferably in a global technology or software organization.
- Demonstrated ability to exercise sound judgment and make independent decisions in ambiguous or high-stakes situations.
- Advanced calendar management skills (Gmail and Google Calendar expertise required), with a proven track record of supporting multiple executives across time zones.
- Exceptional organizational, time-management, and prioritization skills; able to manage multiple complex projects simultaneously.
- Ability to communicate with C level Executives Assistants
- Strong relationship management and communication skills (C1 English proficiency required), with the ability to influence and collaborate at all levels.
- Experience planning and executing large-scale meetings, events, and travel logistics, including budget management and vendor coordination.
- High level of discretion in handling sensitive information and confidential matters.
- Proactive, solution-oriented, and adaptable to changing priorities and environments.
- Willingness to adjust working hours to support executives in different time zones (primarily US).
- Occasional travel to the United States is required. B1/B2 preferred

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Manager, Executive Support

Databricks · Costa Rica

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Corporate Operations Costa Rica Posted Apr 9, 2026

GAQ227R144

Mission

We are seeking a dynamic and experienced Manager to lead our Executive Support Center of Excellence in Costa Rica. The successful candidate will play a pivotal role in developing each EA, and will build processes that support their ability to effectively support executives across the company. This position requires an operational leader with excellent communication skills and previous experience managing 10+ executive assistants.

Impact you will have:

Leadership and Team Development: Lead, mentor, and develop a team of 35+ Executive Assistants and Team Leads to ensure high performance and professional growth.
Stakeholder Engagement: Act as a liaison between executives, EAs, and other departments to facilitate effective communication and collaboration.
Operational Management: Oversee the daily operations of the EA team and Team Lead(s), ensuring optimal EA<>Exec support models and standardized processes.
Strategic Planning and Execution: Collaborate with senior management to align the EA team's objectives, including standard operating procedures and policies, with the company's strategic goals.
Cross-Functional Team Building: Foster an inclusive environment aligned with Databricks’ Cultural Values for the team to operate as a cross-functional unit, despite supporting multiple departments within the company.

What we look for:

Minimum of 10-15+ years of experience in managing a team of executive assistants and team leads (managers) or similar leadership and/or process improvement roles
Proven experience in leading cross-functional teams or projects within a corporate setting.
Experience coordinating with 70+ Executive stakeholders across multiple functions, including navigating challenging interpersonal dynamics
Strong leadership skills with the ability to inspire and motivate a diverse team.
Ability to work independently and manage multiple priorities in a fast-paced environment
Exceptional attention to detail and process-oriented mindset.
Demonstrated ability to build and maintain professional relationships at all levels
Flexibility to adjust working hours to accommodate different time zones (primarily U.S. time zones)
Cultural sensitivity and ability to work in a diverse, global environment
Ability to maintain confidentiality and handle sensitive information with discretion
Fluent in English (C1 level or above) and Spanish, with excellent verbal and written communication skills

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ready to apply?

Databricks

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Senior Technical Solutions Engineer, Platform

Databricks · Costa Rica

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Support Costa Rica Posted Apr 9, 2026

P-362 - This role is hybrid with 3 days in our Heredia office.

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The impact you will have:

Troubleshoot and resolve complex customer issues related to Databricks platform
Provide best practices support for custom-built solutions developed by Databricks customers
Deliver suggestions for improving performance in customer-specific environments
Assist with issues around third-party integrations with Databricks environment
Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
Participate in the creation and maintenance of company documentation and knowledge articles
Be a true proponent of customer advocacy
Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
Participate in weekend and weekday on call rotation

What we look for:

Minimum 4 years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
Solid experience with SQL-based database is required.
Linux/Unix administration skills.
Hands-on experience with AWS, Azure or GCP.
Candidate must possess excellent English written and oral communication skills.
Experience with "Distributed Big Data Computing" environment.
Technical degree or the equivalent experience.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Ready to apply?