Grasp Technologies · 6 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$120K/yr - $135K/yr

8+ years exp

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Data ManagementData Visualization

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Responsibilities

Design ETL systems and workflows to handle enterprise-level data processing requirements.

Collaborate with cross-functional teams to architect scalable, secure, and maintainable solutions on Azure.

Build efficient ETL pipelines using modern tools and technologies.

Implement and manage data ingestion and processing workflows with Kafka.

Write and maintain clean, efficient, and well-documented code using C#.

Containerize applications and manage containerized environments to support scalable deployments.

Ensure applications are reliable, highly available, and performant under varying loads.

Analyze and improve the performance of ETL pipelines and data architectures.

Resolve issues related to data accuracy, latency, and system bottlenecks.

Partner with stakeholders to gather requirements and translate them into technical designs.

Mentor junior developers and share best practices for ETL design and implementation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ETL solutionsAzureC#KafkaSQL databasesNoSQL databasesContainerizationAzure DevOpsCI/CD pipelinesData modelingData warehousingData governanceRESTful API designTerraformBicepVisual StudioAWS KinesisDockerData privacy standardsEncryption toolsAccess management tools

Required

8+ years working at an enterprise level, delivering scalable ETL solutions.

Deep understanding of data modeling, data warehousing, and data governance best practices.

Proven ability to design and implement systems from the ground up, including architecture, tooling, and workflows.

Expertise in Azure.

Advanced understanding of the Microsoft stack, including: C#, .NET Framework and/or .NET Core, ASP.NET, Web API and/or MVC, Azure DevOps and CI/CD pipelines (experience with setup and maintenance a plus), Visual Studio, Kafka, Azure Data Factory, AWS Kinesis, or similar data streaming platforms.

Ability to work in a fast-paced, cross-functional setting.

Ability to communicate complex technical problems to non-technical users.

Ability to handle moderate to large volumes of work.

Regularly updates job knowledge; Loves learning something new every day, especially new technologies.