Data engineer
Posted
Request ID: (phone number removed)
Title:Data Engineer
Locations: Seattle, WA (Onsite)
Duration:6 Months (Possibility of Extension )
Salary Range: $45- $60/Hour on W2 (All inclusive)
We are seeking skilled professionals for an exciting opportunity to work as a Data Engineer. Candidates must be U.S. citizens or Green Card holders and able to work directly for Artech on a W2 basis. This is a 6-month contract position with the possibility of extension. The role is based in Seattle, WA, with options for on-site work in St Louis, Dallas/Plano, Charleston SC, or Ridley Park, Pennsylvania.
Required Skills & Qualifications- Strong programming skills in Python and PySpark.
- Advanced proficiency writing SQL for analytics and ETL processes.
- Proven experience building and optimizing complex data pipelines in Azure.
- Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
- Strong working knowledge of core Azure services, including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
- Experience with container services (ACA, container instances) and containerized data workloads.
- Familiarity with Azure networking concepts and secure network integration for data platforms.
- Experience creating Azure infrastructure using ARM templates.
- Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
- Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
- Experience working in Agile teams and understanding of data governance frameworks.
- Prior work experience at client or in client's Industry.
- Experience with additional programming languages or data technologies.
- Knowledge of advanced data governance and security practices.
- Experience in operations support and on-call support for production issues and deployments.
- Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
- Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks.
- Build and maintain data integration and orchestration solutions using Azure services.
- Collaborate with data consumers and stakeholders to gather business requirements and translate analytical objectives into technical designs.
- Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
- Author Infrastructure-as-Code for Azure resources (ARM templates).
- Configure and operate Azure components, including Storage Account, Synapse, Key Vault, and more.
- Collaborate with networking and security teams to design and implement Azure networking for data solutions.
- Implement monitoring, alerting, and cost optimization for data workloads.
- Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
- Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
- Ensure solutions meet data governance, lineage, and compliance requirements.
- Competitive salary and benefits package.
- Opportunities for professional growth and advancement.
- Dynamic and collaborative work environment.
