62 Ofertas de Data Engineer en Costa Rica

Proactive and detail-oriented Data Engineer with 3-5 years of experience in designing, building, and maintaining scalable data pipelines and infrastructure.

Skilled in transforming raw data into structured formats that support analytics, machine learning, and business intelligence.

Known for collaborating effectively across teams and delivering high-quality data solutions that drive decision-making.

Core Skills

• ETL/ELT Pipeline Development
• SQL, Python, Spark
• Cloud Platforms: Azure, GCP
• Data Warehousing: BigQuery
• Workflow Orchestration: Airflow
• Version Control: Git
• CI/CD for Data Engineering
• Data Modeling & Schema Design
• API Integration & Data Ingestion

Soft Skills

• Strong analytical and problem-solving mindset
• Clear communication with technical and business stakeholders
• Agile/Scrum collaboration
• Commitment to data quality and governance

Responsibilities

• Build and optimize data pipelines for batch and real-time processing
• Collaborate with analysts and data scientists to deliver curated datasets
• Use modern tools to streamline data preparation and model deployment
• Ensure data security, compliance, and performance
• Troubleshoot and resolve data-related issues across environments

We are looking for a Data Engineer to join our Data Insight team at Plannatech. A Data Engineer brings more experience to the team, with a deeper understanding of data architecture and integration layers, and hands-on experience in data system administration and troubleshooting.

Key Responsibilities

• Design and implement efficient data architectures.
• Develop and maintain integrations using APIs.
• Administer and troubleshoot data systems and servers.
• Build pipelines using multiple programming languages, including Java and GoLang.
• Work with Hadoop and Hive to manage large datasets.
• Utilize Git and GitLab for version control and team collaboration.

Qualifications

• Bachelor's degree in Systems Engineering or a related field, or corresponding experience.
• 3 to 5 years of experience in data engineering or related roles.
• Strong understanding of data pipeline design and development.
• Experience with integration technologies and API design.
• Solid troubleshooting skills for data and system issues.
• Knowledge of data system administration and Hadoop ecosystem.

Technical skills

• Strong experience with Spark SQL and Pyspark (ideally in on-premise environments and Delta Lake).
• Advanced SQL and SQL Server proficiency and expertise in large-scale data modeling.
• Skilled in building automated ETL pipelines with robust error handling in production.
• Python
• Java and GoLang
• Git/GitLab
• Apache Airflow
• Hadoop and Hive
• Linux, YARN, and HDFS

Soft skills

• Able to make sound technical decisions independently.
• Proactive in identifying issues and suggesting improvements without being prompted.
• Excellent communication skills to collaborate with both technical and non-technical stakeholders.
• Strong sense of ownership and commitment to solution quality and stability.

At Clicklease, we're on a unique mission – to empower the small business owners often overlooked by traditional lenders. If you're considering joining our team, envision yourself at the heart of our vibrant headquarters in West Valley City, UT, or contributing to our impactful operations from Radial, Alajuela, Costa Rica. At Clicklease, we've cultivated a dynamic work environment that goes beyond routine services. At Clicklease, you'll play a pivotal role in transforming equipment financing into a gateway for entrepreneurs to turn their dreams into reality. If you're passionate about purpose-driven work, innovation, and making a tangible impact, Clicklease is where your career journey begins.

Join us in shaping a future where every business owner has the opportunity to thrive.
Compensation:
Competitive salary in $USD, based on experience

Modality:
Hybrid at least 2 days in the office (Alajuela near the airport)

What You'll Be Doing

• Monitoring database performance and optimizing query execution for efficiency.
• Ensuring data integrity, availability, and recoverability through backup and disaster recovery strategies.
• Troubleshooting database issues and providing timely resolutions.
• Collaborating with developers, analysts, and IT teams to design and optimize database structures.
• Automating routine database administration tasks using scripting and database tools.
• Managing database access and user permissions based on security best practices.
• Building ETL (Export, Transform, and Load) operations to warehouse, data lake, etc.
• Designing and maintaining databases with strong SQL experience.
• Data Analysis and Data modelling with cloud data platforms.
• Staying up to date with emerging database technologies and best practices.
• Effectively collaborate with business stakeholders, ML engineers, and data engineers.

What You Have

• 3 years of experience in database administration, management, or related roles.
• Expertise in relational database management systems (e.g., SQL Server, PostgreSQL, MySQL).
• Proficiency in SQL scripting, performance tuning, and query optimization.
• Experience with database backup, recovery, and replication strategies.
• Strong understanding of database security principles and access control.
• Knowledge of database monitoring tools and techniques.
• Familiarity with cloud-based database solutions such as AWS RDS, Azure SQL, or Google Cloud SQL.
• 3-5 Years strong experience of building data pipelines and ETL/ELT processes. (Python, Spark, Snowpark, SQL etc.)

What Will Make You Stand Out

• 3+ years of database administration experience. (SQL Server / Postgres)
• 3-5 Years strong experience of building data pipelines and ETL/ELT processes. (Python, Spark, Snowpark, SQL).
• Strong background in data modeling and implementing robust monitoring/alerting strategies for production data pipelines.
• Exposure to data visualization tools (e.g. Sigma, Tableau, Power BI) for creating impactful dashboards and reports.
• Familiarity with DevOps practices and CI/CD pipelines.
• Familiarity with SCRUM.
• Good understanding of Data Science or Machine Learning practices.
• Certifications on any of these data platforms SQL Server, AWS or Snowflake is plus.

Why Work for Clicklease
At Clicklease, we believe small businesses are the backbone of the economy—and we're here to help them grow. We're a fast-growing fintech company with a big heart and an even bigger mission: to make equipment financing easy, inclusive, and accessible.

What makes Clicklease different?

• High-growth environment
• People-first culture
• Diverse and inclusive
• Fun is part of the job
• Your voice matters

At Clicklease, we don't just talk about our values—we live them. Join us and help make financing awesome. To learn more about our values, visit

What We Offer

• Competitive salary paid in USD
• Hybrid schedule (office in Alajuela near the airport)
• Private medical and life insurance
• Paid holidays and vacation
• Asociación Solidarista
• Wellness initiatives
• Two large family-friendly company parties each year

Clicklease is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to ensuring that all employees and job applicants are treated with respect and dignity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are seeking a talented Data Engineer to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled engineers and architects. You will also be involved in strategic enterprise data projects and large-scale implementations.

Responsibilities:

• Support projects leveraging an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing.
• Contribute to project delivery in the following ways:
• Add configurations for data enrichments such as lookups, type conversions, calculations, and concatenations
• Add data quality rules
• Connect to new data sources
• Map multiple sources into a single output
• Interpret error messages to troubleshoot data pipelines
• Create outputs that facilitate reporting, dashboarding, and semantic modeling for tools such as Tableau and Power BI
• Test data pipelines to ensure accuracy
• Work closely with our clients as part of the development team to gather technical requirements and develop solutions
• Coordinate activities with data source application owners to understand the underlying data, ensure integration and data integrity
• Build relationships with clients through written and verbal communication

Qualifications:

• 2+ years of hands-on professional development experience, consulting experience preferred.
• 1+ years of experience working with Databricks
• Experience writing complex SQL queries related to data manipulation strategies
• Experience building or working with metadata-driven ETL / ELT patterns and concepts.
• Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda.
• Exposure using ETL tools (Azure Data Factory, AWS Glue, Informatica, Talend, IBM DataStage, etc.), database platforms (Snowflake, Redshift, Azure Synapse, or Oracle), and data visualization tools (Tableau, Power BI, Looker).
• Experience in technical testing, issue identification and resolution
• Strong verbal and written communication skills
• Must reside in Costa Rica

Strategio - Data Engineer

The Opportunity:

Strategio is seeking a
Senior Data Engineer
to join a globally recognized Banking Data Platform project. This role is pivotal in shaping the next-generation cloud-based data infrastructure. You'll design, build, and optimize data pipelines, implement governance and automation standards, and enable AI-powered analytics that fuel business decisions at scale.

This is your chance to apply your advanced technical chops in SQL, Python, and cloud-native technologies in a collaborative and high-impact environment. If you're a data craftsman ready to level up infrastructure and analytics pipelines, this is for you.

About you:

You are a proactive, detail-obsessed Data Engineer with a builder's mindset and a love for complex systems. You have a natural curiosity, deep technical rigor, and the humility to collaborate with cross-functional teams. You communicate clearly, design elegantly, and optimize relentlessly.

As a Strategio Data Engineer, you will:

• Design and deploy cloud-based data pipelines and infrastructure to support enterprise data needs
• Translate raw data into well-modeled datasets for dashboards, analytics, and AI use cases
• Champion data quality, governance, and access controls across multiple environments
• Implement and maintain CI/CD workflows to support seamless data operations
• Collaborate with engineers, analysts, and product stakeholders to drive data-driven solutions
• Contribute to dashboard development and reporting tools for internal teams
• Support innovative AI initiatives by enabling clean, accessible, and scalable data

Core Skills:

• Advanced English is a must.
• Advanced proficiency in SQL: optimization, modeling, and complex querying
• Professional fluency in Python, especially for data tasks (pandas, pyspark, pyarrow, numpy)
• Hands-on experience with cloud-based data platforms, ideally Databricks, or Snowflake/Redshift
• Familiarity with CI/CD tools like GitHub Actions, Jenkins, or similar
• Working knowledge of AWS or Azure, including permissions, serverless tools (Lambda), and storage solutions
• A track record of building well-governed, scalable data pipelines and workflows
• Strong communication and teamwork skills.

Nice-to-Haves:

• Experience using DBT for transformation and modeling
• BI/reporting tool proficiency: Power BI, QuickSight, or Sigma
• API integration and development for data services
• Understanding of agentic workflows and applied AI systems
• Exposure to container orchestration (Docker, Kubernetes) and real-time processing (Kafka, Spark Streaming)
• Familiarity with ML workflow tooling (Kubeflow, MLflow) and data storytelling techniques

Your job search ends here.

If you're eager to contribute to cutting-edge projects and want to work with a mission-driven team,
Apply Here.

On behalf of one of our global clients in the technology and data solutions industry, we're looking for two talented Data Engineers to join their growing team.

Our client builds cutting-edge data infrastructure and analytics solutions that empower businesses to make smarter, faster decisions. They are expanding their operations and need strong engineers who are passionate about working with data at scale.

Job Summary: The Data Engineer III plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights. Working independently on assigned tasks and projects, the Data Engineer III contributes to the overall effectiveness of the data department and supports the company's objective of leveraging data for continuous improvement and innovation.

Key Responsibilities include, but are not limited to:

• Participate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse.
• Implement and maintain data quality checks and validation processes to ensure data accuracy and reliability.
• Collaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs.
• Contribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability.
• Monitor data pipeline performance and troubleshoot data-related issues in a timely manner.
• Assist in the evaluation and implementation of new data technologies and tools.
• Develop and maintain documentation for data pipelines, processes, and data models.
• Contribute to the development of data governance policies and procedures.
• Participate in code reviews and knowledge sharing sessions with other data engineers.
• Support the migration of existing data pipelines to more scalable and efficient solutions.

Qualifications & Desired Skills:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Proficiency in at least one programming language such as Python or Java.
• Understanding of data warehousing concepts, modeling and methodologies.
• Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
• Experience with optimizing complex queries.
• Strong proficiency in using Git for version control and collaboration on codebase.
• Experience with NoSQL databases (e.g., MongoDB).
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Experience with ETL/ELT tools such as Apache Airflow or similar.
• Ability to work collaboratively with teams across data science, business intelligence, and software engineering to deliver high-quality data solutions.
• Solid understanding of the importance of data validation and the basics of ensuring data quality (e.g., checking for duplicates, missing values, or incorrect data formats).
• Basic knowledge of data modeling techniques.
• Strong analytical and problem-solving skills.
• Excellent communication skills

Job Type: Full-time

Pay: From ₡2,200,000.00 per month

Are you ready to make an impact?
West Monroe is seeking a talented Data Engineer to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled engineers and architects. You will also be involved in strategic enterprise data projects and large-scale implementations.

Responsibilities

• Support projects leveraging an agile delivery model through requirements gathering and documentation, data ingestion pipeline development, and technical testing.
• Contribute to project delivery in the following ways:
• Add configurations for data enrichments such as lookups, type conversions, calculations, and concatenations
• Add data quality rules
• Connect to new data sources
• Map multiple sources into a single output
• Interpret error messages to troubleshoot data pipelines
• Create outputs that facilitate reporting, dashboarding, and semantic modeling for tools such as Tableau and Power BI
• Test data pipelines to ensure accuracy
• Work closely with our clients as part of the development team to gather technical requirements and develop solutions
• Coordinate activities with data source application owners to understand the underlying data, ensure integration and data integrity
• Build relationships with clients through written and verbal communication

Qualifications

• 2+ years of hands-on professional development experience, consulting experience preferred.
• 1+ years of experience working with Databricks
• Experience writing complex SQL queries related to data manipulation strategies
• Experience building or working with metadata-driven ETL / ELT patterns and concepts.
• Experience with Spark, Databricks, Kafka, Kinesis, Hadoop, and/or Lambda.
• Exposure using ETL tools (Azure Data Factory, AWS Glue, Informatica, Talend, IBM DataStage, etc.), database platforms (Snowflake, Redshift, Azure Synapse, or Oracle), and data visualization tools (Tableau, Power BI, Looker).
• Experience in technical testing, issue identification and resolution
• Strong verbal and written communication skills
• Must reside in Costa Rica

Other consultancies talk at you.

At West Monroe, we work with you.

We're a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.

The combination of business and technology is not new, but how we bring them together is unique. We're fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.

At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what's next.

You'll feel the difference in how we work. We show up personally. We're right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn't a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.

West Monroe
is an Equal Employment Opportunity Employer
We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit  If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to

Please review our current policy regarding use of generative artificial intelligence during the application process.

If you are based in California, we encourage you to read West Monroe's Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here.

Requisitos:

• Mínimo 3 años de experiencia
• Ingeniería en Sistemas o carrera afín
• Desarrollo de ETL
• Conocimiento avanzado de SQL y experiencia de trabajo con bases de datos relacionales y no relacionales, así como familiaridad con variedad de bases de datos
• Solida experiencia en el uso de herramientas como Spark
• Experiencia con Azure Cloud y servicios como Cosmos DB, Azure Data Lake, Azure SQL
• Experiencia con lenguajes como Python
• Experiencia en Integraciones y Entregas continuas CI/CD
• Experiencia en Git
• Experiencia en el manejo de herramientas de flujo y extracción de datos como Airflow, Big Query
• Experiencia en Integración de Apis

Ofrecemos:

• Programas de capacitación
• Trabajo remoto
• Plan Médico
• Descuentos educativos
• Descuentos comerciales
• Salario competitivo
• Crecimiento profesional
• Prestaciones de ley
• Otros beneficios

Join B&T Consulting: Data Engineer (3–5 years of experience)

At
B&T Consulting
, we believe data is the engine driving digital transformation. That's why we're looking for a
Data Engineer
who wants to grow in a dynamic environment, collaborating on regional and global projects with industry-leading clients.

Your Impact

• Design and optimize data pipelines that power strategic decision-making.
• Partner with analysts and data scientists to deliver reliable, high-value datasets.
• Implement cloud-based solutions that combine innovation, security, and scalability.
• Play a key role in ensuring data quality, governance, and performance.

What We're Looking For

• 3–5 years of experience in data engineering.
• Strong knowledge of
  ETL/ELT, SQL, Python, Spark
  .
• Experience with
  Azure or GCP
  , and
  BigQuery
  .
• Proficiency with
  Airflow, Git, CI/CD, data modeling, and APIs
  .

Nice to Have

• Experience with
  Dataiku
  (visual recipes, scenarios, deployments).
• Knowledge of
  Snowflake
  and cloud optimization.
• Familiarity with
  Prometheus
  for monitoring.
• Certifications in
  Google, Azure, or Dataiku
  .

What Sets You Apart

• Analytical and solution-oriented mindset.
• Ability to communicate clearly with both technical and business teams.
• Experience working in
  Agile/Scrum
  environments.
• Passion for data quality and innovation.

At
B&T Consulting
, you'll not only take on challenging projects, but also join a collaborative team that fosters your professional growth and connects you with a global network of technology and consulting experts.