Resumen del rol

Data Engineer

Requisitos y responsabilidades

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Details

  • Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources.
  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.
  • Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git.
  • Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes).
  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.
  • Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana).
  • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption.
  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.
  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.
  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.
  • U.S. Citizenship/ Green Card is required.
  • A bachelor’s degree is required.
  • Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles.
  • Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).
  • Strong hands-on experience designing and developing data pipelines and ETL processes.
  • Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development.
  • Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS.
  • Experience working with Databricks and large-scale data processing environments.
  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.
  • Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket.
  • Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch.
  • Proven experience operating in Agile development environments.
  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.
  • Ability to work independently in a fast-paced environment.
  • Strong analytical and troubleshooting skills.
  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.
  • Experience supporting federal programs and/or large-scale data modernization projects.
  • Certifications in AWS, or other cloud/data engineering domains.
  • Experience with data visualization tools (e.g., Kibana, Tableau).
  • Familiarity with security best practices and compliance in federal environments.
  • Experience with microservices, Spring Boot, and integration of AI/ML components.
  • Previous consulting experience

Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
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FocoData EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackAWS, Azure, CI/CDSkills principales
Ubicación1 país aceptadoElegibilidad

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