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Salary
≈ $37k – $95k per year (Estimated)
Location
Remote (Costa Rica)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. Software Mind scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Software Mind is a Polish technology company with roots in the Ailleron group that builds and operates software for clients in telecommunications, financial services, healthcare, media and travel. Its engineers work as dedicated teams on custom product development, cloud and platform engineering, data and artificial intelligence, and modernisation of legacy systems, delivered from centres in Poland, Romania, Moldova, Chile and the United States. Headquartered in Krakow, the company has grown through acquisitions of engineering firms in Europe and Latin America and now employs several thousand specialists.

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!

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

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

We are accepting applications from LATAM countries

#LI-DNI

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