Data Engineer - Python/Snowflake
robert halfHouston (TX)
Data Engineer - Python/Snowflake
Posted 4 days ago
robert halfHouston (TX)
SENIORITY
Senior
About the role
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms. You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.
Responsibilities:
Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.
Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.
Develop ELT/ETL solutions leveraging cloud-native AWS services. Create, monitor, and support batch and near real-time data integration workflows.
Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems. Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.
Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.
Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.
Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.
Support production environments and troubleshoot data pipeline issues as needed.
Before you apply
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Your profile is current
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Two examples you can talk through
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.