Senior/Principal Data Engineer

Sigma Software Group

. Design, build, and maintain scalable, secure, and reliable data platforms, pipelines, and data products .

Posted 10/8/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data platforms and pipelines, with a strong focus on cloud-native technologies and data architecture principles. Proven ability to mentor teams, drive engineering best practices, and collaborate effectively with cross-functional stakeholders.

Highest-signal resume keywords

Data EngineeringCloud-Native TechnologiesAdvanced SQLPython ProgrammingAWS Cloud Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData ArchitectureETL/ELT PipelinesApache SparkDatabricksKafkaSystem DesignReal-Time Data StreamingObservability FrameworksData Quality Frameworks

Soft Skills

CommunicationCollaborationMentoringProblem-SolvingTechnical Guidance

Tools & Technologies

AWSApache SparkDatabricksKafkaCI/CD

Industry Keywords

Data PlatformsData ProductsPlatform ModernizationEnterprise AnalyticsMachine Learning Data Platforms

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsETLJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable, secure, and reliable data platforms, pipelines, and data products
Drive architecture discussions related to data modeling, storage strategies, integration patterns, and platform evolution
Take end-to-end ownership of technical solutions and contribute to architectural and engineering decision-making
Develop and implement batch and streaming data solutions using modern cloud-native technologies
Lead platform modernization initiatives and continuous technical improvements
Establish and promote engineering best practices including CI/CD, testing, observability, security, and data quality
Mentor and support Data Engineers through technical guidance, code reviews, and knowledge sharing
Lead onboarding activities for new team members and support their integration into the engineering organization
Collaborate with Product Managers, Software Engineers, Analysts, and business stakeholders to deliver scalable data solutions
Contribute to technical roadmaps and influence engineering direction across teams

Requirements

What you’ll need

5–8+ years of experience in Software Engineering, including 3–5+ years of hands-on Data Engineering experience
Upper-Intermediate or higher English level
Strong experience building and operating scalable data platforms and pipelines in cloud environments
Advanced SQL knowledge
Strong understanding of data modeling and data architecture principles
Strong programming skills in Python
Hands-on experience with Apache Spark, Databricks, and Kafka
Experience developing ETL/ELT pipelines and orchestration workflows
Strong AWS cloud experience and knowledge of cloud-native data services
Experience designing modern data warehouse or lakehouse architectures
Strong system design and problem-solving skills
Ability to balance business and technical priorities while making architecture decisions
Experience mentoring engineers and driving engineering best practices
Strong communication and collaboration skills across technical and business teams
Experience with Scala or Java is a plus
Experience with real-time data streaming architectures is a plus
Exposure to large-scale distributed systems is a plus
Experience with observability and data quality frameworks is a plus
Experience contributing to platform modernization programs is a plus
Background in enterprise analytics or machine learning data platforms is a plus

Benefits

Comp & perks

Fully remote work opportunity
Opportunities for continuous professional growth
Technical leadership opportunities
Mentoring and team development opportunities
Collaboration with engineering communities
Opportunity to work on impactful products