Senior Data Engineer
San José, San José Province, Costa Rica
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s listing: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources
Mentor other data engineers and contribute to onboarding efforts
Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
From the employer’s posting
Main Responsibilities Design, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
Conduct code reviews and provide feedback to engineering team members Mentor other data engineers and contribute to onboarding efforts Participate in Agile ceremonies including standups, retrospectives, and planning
Design, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources Build and optimize data models and processing workflows to support BI, analytics, and reporting needs Build and maintain datasets, dataflows, and dashboards in Domo
What you’ll bring
All qualificationsCore experience
- 5+ years of experience developing and maintaining ELT/ETL systems
- Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
- Experience building integrations with SaaS APIs such as Salesforce
- Experience with MongoDB or DynamoDB
- Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have)
- Experience building and maintaining data pipelines from diverse sources
Qualification wording
5+ years of experience developing and maintaining ELT/ETL systems
Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
Experience building integrations with SaaS APIs such as Salesforce
Experience with MongoDB or DynamoDB
Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have)
Experience building and maintaining data pipelines from diverse sources
Tools in this posting
- Python
- SQL
- AWS
- DynamoDB
- MongoDB
- S3
- Snowflake
Source — Tool mentions in context
- Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization - Proficiency in Python - Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
- Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have) - Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization - Proficiency in Python
- Proficiency in Python - Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK) - Experience building and maintaining data pipelines from diverse sources
- Experience building integrations with SaaS APIs such as Salesforce - Snowflake Data Engineering Certification or AWS Data Analytics Certification - Experience with MongoDB or DynamoDB
- Snowflake Data Engineering Certification or AWS Data Analytics Certification - Experience with MongoDB or DynamoDB Additional Information
Main Responsibilities - Design, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources - Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
- 5+ years of experience developing and maintaining ELT/ETL systems - Strong hands-on experience with Snowflake (must-have) - Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have)
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · today
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Software Mind is seeking a Senior Data Engineer to join the Data Engineering team of one of our clients. This is a hands-on role focused on building and maintaining scalable data pipelines, ensuring data quality, and supporting analytics and reporting across the organization.
Main Responsibilities
- Design, develop, and maintain secure, scalable ETL/ELT pipelines in Snowflake, processing structured and unstructured data from multiple sources
- Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
- Build and maintain datasets, dataflows, and dashboards in Domo
- Develop monitoring and alerting solutions to ensure pipeline performance and data quality
- Integrate data from external APIs and third-party systems (e.g., Salesforce)
- Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams
- Translate business requirements into robust technical solutions
- Conduct code reviews and provide feedback to engineering team members
- Mentor other data engineers and contribute to onboarding efforts
- Participate in Agile ceremonies including standups, retrospectives, and planning
Qualifications
Requirements
- 5+ years of experience developing and maintaining ELT/ETL systems
- Strong hands-on experience with Snowflake (must-have)
- Hands-on experience creating datasets, dataflows, and dashboards in Domo (must-have)
- Strong proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization
- Proficiency in Python
- Experience with AWS cloud-native services (Kinesis, Lambda, S3, SQS, CDK)
- Experience building and maintaining data pipelines from diverse sources
- Strong analytical thinking, problem-solving, and debugging skills
- Strong written and verbal English communication skills
- Comfortable working in a fast-paced, Agile environment
Nice to Have
- Experience building integrations with SaaS APIs such as Salesforce
- Snowflake Data Engineering Certification or AWS Data Analytics Certification
- Experience with MongoDB or DynamoDB
Additional Information
We are accepting applications from LATAM countries
#LI-DNI
Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
San José, San José Province, Costa Rica
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- Work authorization
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