Data Engineer: Cloud Pipelines, dbt & Python (Hybrid)

Harnham; Austin (TX); Híbrido; USD 150 000 - 165 000; Tempo integral

Resumo da oferta

Harnham is seeking a Mid-Senior Data Engineer to help build a modern cloud-based data platform. This hybrid role offers ownership across the full data lifecycle, from ingestion to operations, in a growth-focused wealth management setting.

You will work with engineering, analytics, and business teams to deliver scalable data solutions, with emphasis on data modeling, platform reliability, and performance improvements. Location options include Miami or Austin, with hybrid work arrangements.

Qualificações

• Strong hands-on experience with Python and SQL.
• Proven experience building and maintaining data pipelines and data ingestion frameworks.
• Strong experience with dbt and modern data transformation practices.
• Experience with Azure cloud technologies and enterprise data platforms; data modeling and lifecycle management understood.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ingestion frameworks across multiple data sources.
• Build and optimize data models to support analytics, reporting, and downstream applications.
• Develop and enhance cloud-based data platform infrastructure focused on scalability, reliability, and performance.
• Utilize Python, SQL, and dbt to create robust data solutions.
• Implement and improve monitoring, data quality, and operational processes for platform reliability.
• Collaborate with cross-functional stakeholders to deliver high-quality data products and solutions.
• Troubleshoot production data issues and contribute to long-term data architecture roadmap.

Conhecimentos

Python

Data pipeline development

SQL

Formação académica

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or related field

Ferramentas

dbt

Azure

Descrição da oferta de emprego

Harnham is seeking a Mid-Senior Data Engineer to help build a modern cloud-based data platform. This hybrid role offers ownership across the full data lifecycle, from ingestion to operations, in a growth-focused wealth management setting.

You will work with engineering, analytics, and business teams to deliver scalable data solutions, with emphasis on data modeling, platform reliability, and performance improvements. Location options include Miami or Austin, with hybrid work arrangements.