dbt Jobs in Costa Rica.
All active dbt roles based in Costa Rica.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
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.
Ready to apply?
Apply to Encora
Scale Solutions Engineer
Share this job
CSQ326R204
- 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.
- 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.
Ready to apply?
Apply to Databricks
Contract: Lead Analytics Engineer - Data Team
Share this job
Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team
- We are looking for a Lead Analytics Engineer to join our data team.
- Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
- You will provide clean and organized data sets to end users.
- You will be provide expert code reviews and mentorship to other engineers in the data space
- You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
- You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
- You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.
Why you'll love this role:Data Modeling and Transformation
- Build new analyses and support existing ones using SQL and Python.
- Apply software engineering principles like version control and continuous integration to the analytics codebase.
- Expand our data warehouse with clean data ready for analysis.
Data Quality and Testing
- Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
- Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.
Collaboration and Communication
- Work with stakeholders to define business logic and data expectations.
- Help drive a change in the usage of data by actively surfacing insights to stakeholders.
- Lead initiatives and problem definition, scoping, design, and planning.
Infrastructure and Automation
- Build tools and automation to run data infrastructure.
- Manage large-scale data migrations in relational datastores.
Why you're a great fit:
- 8+ Years experience working with data in a software environment.
- Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks. Experience with dbt orchestration and best practices.
- You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
- Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
- Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
About Newsela:
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
#LI-Remote
Ready to apply?
Apply to Newsela
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?
Apply to EncoraImportant 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?
Apply to EncoraImportant 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?
Apply to Encora