
51 - 200 funcionários
A xScion Solutions (xScion) é uma empresa de consultoria em tecnologia que ajuda organizações em indústrias altamente regulamentadas a Transformar Mudança em Valor® através da expertise em Agilidade nos Negócios, Transformação em Nuvem e Gestão de Mudanças. Como uma empresa certificada como Pequena Empresa de Propriedade Feminina (WOSB) com mais de 20 anos de experiência apoiando Tecnologia Regulatória (RegTech), a xScion fornece tanto especialistas no domínio quanto soluções personalizadas para ajudar organizações a navegar de forma eficiente por requisitos complexos de compliance e tecnologia nos setores de Serviços Financeiros, Saúde, ONGs e Setor Público.
🕒 Setembro 21, 2025
🏄 California, Oregon, +2 estados a mais – Remoto
⏰ Tempo Integral
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
A xScion Solutions (xScion) é uma empresa de consultoria em tecnologia que ajuda organizações em indústrias altamente regulamentadas a Transformar Mudança em Valor® através da expertise em Agilidade nos Negócios, Transformação em Nuvem e Gestão de Mudanças. Como uma empresa certificada como Pequena Empresa de Propriedade Feminina (WOSB) com mais de 20 anos de experiência apoiando Tecnologia Regulatória (RegTech), a xScion fornece tanto especialistas no domínio quanto soluções personalizadas para ajudar organizações a navegar de forma eficiente por requisitos complexos de compliance e tecnologia nos setores de Serviços Financeiros, Saúde, ONGs e Setor Público.
• Design, develop, and operationalize large-scale enterprise data solutions using AWS services such as S3, Glue, Athena, Lambda, RedShift, EMR, Spark, and DynamoDB • Analyze, redesign, and re-platform on-premise data solutions from Cloudera Hadoop platforms to AWS native data stack • Design, develop, and deploy data pipelines from ingestion to consumption within a big data architecture using Java, Python, or Scala • Participate in discussions related to architecture, design, and product development to understand business requirements and translate them into technical solutions • Take responsibility for complete user stories through analysis, design, development, and testing as per project timelines • Develop and maintain scripts to automate batch jobs • Support and maintain existing applications, troubleshooting and resolving technical issues • Follow appropriate technical best practices and internal processes while complying with various information security controls • Maintain existing data solutions running on Hadoop stack using HDFS, Oozie, Impala, and Hive, handling some enhancements until the cloud migration.
• Bachelor’s Degree in Computer Science, Information Technology, or other relevant fields • Must be a US Citizen or a Green Card holder for over 3 years with the intent to become a US Citizen • 7+ years of software development experience related to data engineering • Hands-on experience in Java, Python, or Scala with the ability to understand/write complex SQL queries • Proficient in AWS services such as S3, Glue, Athena, Lambda, RedShift, EC2, EMR, Spark, and DynamoDB using Java, Python, Scala, or PySpark • Experience deploying software solutions to the cloud platform through CI/CD in a DevOps model • General understanding of application and data security concepts with exposure to AWS IAM, CloudTrail, CloudWatch, AWS Config, Secrets Manager, and KMS • Hands-on experience with Hadoop technologies such as HDFS, Oozie, Impala, and Hive • Experience with Ansible, Terraform, or Cloud Formation scripts to develop or support Infrastructure as Code • Experience working with Hadoop-based Big Data architecture and solutions • Experience working in an Agile development environment using Agile tools like Jira or Rally • Proficiency with UNIX commands and shell scripts • Ability to effectively communicate, collaborate, and work in a team environment to deliver high-quality work independently • Background check which includes fingerprinting, drug testing, and a personal interview (applicant consent required) • Nice to have: experience with RDBMS and data warehouses • Nice to have: experience with Machine Learning technologies and data visualization tools
• Medical, dental, 401(k) match, flexible spending and more • Up to 27 days off a year (including your birthday!) • Remote work opportunities • Parental leave • Wellness benefits • Professional development, including our Communities of Practice, technology partnerships, sandbox and paying for certifications and trainings to improve their skills • Inclusive and diverse culture as a woman-owned organization
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