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Data Engineer

📍 Austin, Texas Metropolitan Area 💰 50 – 57 USD / hr 🕒
Work Model
📍 Austin, Texas Metropolitan Area
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from Russell Tobin's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Position: Data Engineer Location: RemoteContract: 6 Months (Extension Likely) W2Pay: $50-$57/HR (DOE)

Duties: Data Asset Inventory and AssessmentInventory of existing data assets; tables, dashboards, and pipelinesFollow requirements to pull required data to measure the current state of these assets, set up usage metrics for internal and external stakeholders.Table Metadata to improve documentation coverage for tables, including table descriptions, column definitions, and data lineage.Implement a centralized metadata management system to maintain and access asset documentation.Ensure that all existing and new data assets are properly documented according to established standards.Pipeline Clean-up and ConsolidationConsolidate and streamline pipelines by eliminating redundancies and unnecessary elements according to the set of provided rules.Clean up and restructure data tables, ensuring consistent naming conventions, data types, and schema definitions.Retire or archive obsolete dashboards and workflows.Implement monitoring and alerting mechanisms for critical workflows to ensure timely issue detection and resolution.Set up a foundation for scalable Data Model for the Stock Business - Implement and build performant data models to solve common analytics use-Knowledge Transfer and DocumentationThoroughly document the work performed, including methodologies, decisions, and any scripts or tools developed.Provide comprehensive knowledge transfer to the data team, ensuring a smooth transition and the ability to maintain the optimized data environment.

Skills: Proven experience in data engineering and data asset management.Proficiency in SQL, Python, and other relevant data processing languages and tools.Expertise in data modeling, ETL processes, and workflow orchestration (e.g., Airflow, Databricks).Strong analytical and problem-solving skills.Excellent communication and documentation abilities.Familiarity with cloud data platforms (e.g., Azure, AWS, GCP) is a plus.

Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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This position is located in Austin, Texas Metropolitan Area with potential relocation and sponsorship assistance depending on candidate qualifications.

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