Senior Cloud Data Engineer – AWS, Python & ETL/ELT

**FULLY REMOTE**ScolerTec Inc. has multiple openings for Senior Cloud Data Engineer to support a large-scale federal cloud modernization program.The Senior Cloud Data Engineer will design, build, test, and maintain scalable cloud-based data engineering solutions supporting analytics, reporting, data modernization, and operational decision-making. The role includes developing secure and performant data pipelines, ETL/ELT processes, data transformations, system integrations, data marts, and cloud data platform services.The ideal candidate will have strong hands-on experience with AWS, SQL, Python, ETL/ELT, enterprise-scale data pipelines, cloud data platforms, data modeling, and batch/near-real-time data integration.Key ResponsibilitiesDesign and develop scalable, secure cloud-based data platforms supporting operational data, reporting, and analytics.Build and maintain data ingestion and ETL/ELT pipelines integrating data from multiple enterprise sources.Develop transformation logic supporting both near-real-time and batch processing.Design and maintain downstream data marts, gold layers, and reusable data services.Implement logical, physical, and dimensional data models.Work with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or similar technologies.Develop high-quality, testable code using SQL, Python, and secure coding practices.Integrate pipelines with cloud messaging, compute, and storage services.Implement data-quality checks, validations, monitoring, and error-handling mechanisms.Optimize data pipelines for performance, scalability, reliability, and cost.Support CI/CD-enabled data deployments, automated testing, and promotion across environments.Develop and maintain technical documentation including source-to-target mappings, data models, design documents, testing documentation, runbooks, and workflows.Support metadata, data classification, governance, and audit requirements.Partner with Data Architecture, Data Governance, Migration, DBA, QA, and application teams.Support data migration, archival, disaster recovery, and failover-testing initiatives.QualificationsMA/MS with 5+ years or BA/BS with 7+ years of relevant experience, or equivalent experience as defined by the program.Strong professional experience in data engineering and enterprise data platforms.Hands-on experience building enterprise-scale data pipelines.Strong proficiency with SQL and Python.Strong experience with ETL/ELT frameworks and data transformation.Experience with AWS data and compute services.Experience developing solutions on cloud-based data platforms.Experience with data orchestration tools.Experience with cloud messaging and storage technologies.Experience with streaming or near-real-time data ingestion.Experience with data modeling and data architecture.Familiarity with data governance, metadata, and classification standards.Experience working in Agile/Scrum environments.Experience in regulated or compliance-driven environments.Ability to mentor junior data engineers.Must HaveAWSData EngineeringSQLPythonETL / ELTEnterprise data pipelinesCloud data platformsData modelingData orchestrationBatch and near-real-time processingData quality and validationCI/CDNice to HaveSnowflakeDatabricksAWS RedshiftData lake / lakehouse architectureStreaming technologiesMetadata managementData governanceData classificationData migrationDisaster recoveryInfrastructure as CodeFederal or regulated-environment experiencePreferred CertificationsAWS Certified Data EngineerAWS Certified Solutions Architect – ProfessionalAWS Certified Data Analytics – SpecialtySnowflake SnowPro CoreDatabricks Certified Data ProfessionalCertified Data Management Professional (CDMP)Other relevant cloud-platform certifications.Communication & Organizational SkillsExcellent written and verbal communication skills.Strong analytical and problem-solving abilities.Ability to collaborate with architects, DBAs, analysts, QA teams, and customer stakeholders.Ability to work independently and across multiple Agile teams.Strong documentation and customer-facing skills.