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Company

Habitat for Humanity International · 8 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$87K/yr - $102K/yr

6+ years exp

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Responsibilities

Troubleshooting and Optimization: Troubleshoot data-related issues and continuously optimize data systems for better performance.

Data Pipeline Management: Develop and oversee data pipelines that ensure smooth data flow from various sources to storage and processing systems

Design and Build Data Systems: Create and maintain Habitat’s data systems, databases, and data warehouses to store and manage large volumes of data

Collaboration: Work closely with Director of Data Management, data architects, data analysts, and other stakeholders to understand data needs and implement approved data solutions

Data Compliance and Security: Ensure that data systems comply with security standards and regulations, protecting sensitive information.

Team Guidance: Provide technical guidance in best practices and project execution.

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.

Data EngineeringData ArchitectureETL/ELT TechnologiesSQL/T-SQLPythonJavaJavaScriptCloud PlatformsData WarehousingKafkaSparkHadoopGitHubJiraDevOps PracticesCI/CD AutomationData VisualizationKubernetesSoft Skills

Required

Bachelor’s Degree (Related Technical Discipline)

6+ years hands on experience in data engineering, data system development, or related roles

Familiarity with multiple data architecture design patterns

Ability to build, maintain and improve data architecture, data collection and data storage systems

Ability to write and interpret code/support the Agile teams as needed

Proficiency in ETL/ELT technologies with focus in Microsoft technology stack

Extensive programming experience of data processing languages (SQL/T-SQL, Python, Java, JavaScript)

Strong computer science background and knowledge of software development methodologies

Proficiency in cloud delivery models, cloud platforms, cloud storage, data streaming, and data frameworks (SaaS/DaaS/PaaS/IaaS, Azure, microservices, Dmbok2, TOGAF)

Strong skills in relational databases and data warehousing

Familiarity with big data tools such as Kafka, Spark, Hadoop

Expertise in code management utilizing GitHub/Visual Studio

Experience utilizing productivity tools with specialty utilizing Jira

Experience with DevOps practices, configuration frameworks and CI/CD automation tooling

Ability to communicate complex technical concepts to non-technical stakeholders

Effective in working both independently and within a team

Diligent, rigorous, and collaborative

Strong problem-solving and analytical abilities

Ability to work collaboratively in a fast-paced environment