Data Engineer
Job Description
We are hiring for a Data Engineer to support the development and scaling of data foundations for advanced artificial intelligence and autonomous systems. This role focuses on building robust pipelines to process and curate large-scale multimodal datasets for machine learning initiatives.
The Role
• Design, develop, and maintain scalable data pipelines to ingest, normalize, and synchronize complex sensor and telemetry data.
• Build automated validation processes to ensure data integrity, calibration accuracy, and overall dataset quality.
• Establish reusable data models, metadata standards, and versioning practices to support model development.
• Partner with cross-functional teams to optimize pipeline performance, reliability, and cost efficiency.
What You'll Need
• 5+ years of professional experience in data engineering.
• Proven ability to build end-to-end pipelines for processing unstructured and multimodal datasets.
• Strong programming proficiency in Python and SQL.
• Hands-on experience with cloud-based data platforms, distributed processing frameworks, and workflow orchestration tools.
What's On Offer
• Annual salary of $130,000 – $140,000.
• Comprehensive benefits package including medical, dental, and vision coverage, 401(k) with company match, and paid time off.
• Opportunities for professional growth and development within a collaborative engineering environment.
Apply via Haystack today!
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A full-time year is 2,080 hours: $49 an hour is $101,920 a year before taxes, and $98,000 a year is $47.12 an hour. Pay calculator →
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