Data Engineer 3
- Job Title
- Data Engineer 3
- Job ID
- 27731483
- Work Hybrid
- Yes
- Location
- Austin, TX 78758
- Other Location
- Remote (US)
- Description
-
Data Engineer 3
6+ Months W2 Contract
Austin TX (Hybrid)
Benefits You’ll Love:- NextDeavor offers health, vision and dental benefits for contract employees.
- You’ll be eligible to receive Paid Sick Leave (Amount varies per state).
- Own the opportunity to get your foot in the door at a well-established corporation, with the likelihood of extension or conversion to full time employment (NextDeavor’s conversion rate is approximately 70%!)
Here’s how you’ll make an impact on the team:- Data Asset Inventory and Assessment
- Inventory of existing data assets; tables, dashboards, and pipelines
- Follow 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 Consolidation
- Consolidate 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-cases at Adobe Stock.
- Knowledge Transfer and Documentation
- Thoroughly 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.
Here’s what you’ll need to be successful in this role:- 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.
Pay Range:
$55 - $57.67/hour
Ready to make your mark? Take the leap and apply directly here: https://j.brt.mv/jb.do?reqGK=27731483&refresh=true – your application is in good hands.
- Pay Range
- $55.00 Hourly to $57.67 Hourly
