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3 results for Data Scientist in Baltimore, MD
- Arlington, VA
- onsite
- Permanent / Full Time
- 150000 - 170000 USD / Yearly
- We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
- 2026-10-08T00:00:00Z
- Washington, DC
- remote
- Temporary / Contract
- 48 - 54 USD / Hourly
- <p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
- 2026-10-15T00:00:00Z
- York, PA
- remote
- Temporary to Hire
- 0 - 0 USD / Yearly
- We are looking for a Cloud Engineer to build and support secure, scalable cloud environments for a contract opportunity with potential for a permanent role. This role focuses on infrastructure automation, cloud security, and compliance-driven engineering across modern cloud platforms, with an emphasis on creating reliable deployment standards and well-governed environments. The ideal candidate brings hands-on experience with Terraform, strong knowledge of AWS services, and the ability to partner with technical and compliance teams to deliver resilient solutions.<br><br>Responsibilities:<br>• Design, deploy, and administer cloud infrastructure that supports performance, scalability, and strong security controls across production and non-production environments.<br>• Create and refine Infrastructure as Code using Terraform, developing reusable modules and standardized patterns that improve consistency and speed of delivery.<br>• Embed compliance and security requirements into cloud architectures by applying controls for access management, encryption, logging, and governance.<br>• Work with security and audit stakeholders to prepare compliance evidence, address findings, and support remediation activities tied to regulatory frameworks.<br>• Configure and maintain monitoring, alerting, and threat-detection capabilities using services such as CloudWatch, GuardDuty, and Security Hub.<br>• Evaluate cloud environments for efficiency, reliability, and cost effectiveness, then recommend and implement improvements where needed.<br>• Partner with DevOps, application, and security teams to strengthen CI/CD processes and incorporate secure engineering practices into deployment workflows.<br>• Produce clear technical documentation covering architecture decisions, Terraform assets, operational procedures, and compliance-related processes.<br>• Provide guidance to internal teams on cloud best practices, infrastructure automation, and secure configuration standards across AWS and related platforms.
- 2026-11-04T00:00:00Z