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Job DescriptionSoftware 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 processing structured and unstructured data from multiple sources
- Build and optimize data models and processing workflows to support BI, analytics, and reporting needs
- Develop monitoring and alerting solutions to ensure pipeline performance and data quality
- Build insightful dashboards, reports, and datasets in Domo
- 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 proficiency in SQL — advanced queries, data modeling, stored procedures, query optimization
- Hands-on experience with Snowflake or BigQuery
- 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 creating datasets, dataflows, and dashboards in Domo
- Experience building integrations with SaaS APIs such as Salesforce
- AWS Data Analytics Certification or Snowflake Data Engineering Certification
- Experience with MongoDB or DynamoDB
We are accepting applications from LATAM countries
#LI-DNI
Skills Required
- 5+ years of experience developing and maintaining ELT/ETL systems
- Strong proficiency in SQL (advanced queries, data modeling, stored procedures, query optimization)
- Hands-on experience with Snowflake or BigQuery
- Proficiency in Python
- Experience with AWS 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
- Experience creating datasets, dataflows, and dashboards in Domo
- Experience building integrations with SaaS APIs such as Salesforce
- AWS Data Analytics Certification or Snowflake Data Engineering Certification
- Experience with MongoDB or DynamoDB
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
