Senior Data Engineer

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🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Wix

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💸 Finance

🤝 B2B

Finance • B2B

Wix is a Raleigh-based firm specializing in tax preparation, tax advisory, and small business accounting. The company is led by John D, a Certified Public Accountant with extensive experience in accounting practices including accrual, cash, project-based, and cost accounting. Wix is committed to understanding the unique needs of small businesses across various industries such as real estate, consulting, and construction management. The firm prides itself on providing individualized attention and guidance, helping clients navigate the complexities of tax codes and grow their financial operations.

📋 Description

• Assist TSD with data products by providing highly skilled and authoritative expertise on data engineering methods and best practices, including code-first development approaches and modern pipeline design patterns. • Design, implement, and maintain an efficient, secure, stable, and flexible data architecture that supports products and end-users, with all assets managed via source control. • Design, implement, and maintain ELT/ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning (using SDK V1 and SDK V2) • Review, maintain, and improve existing architecture and pipelines, including periodic audits to address bottlenecks, deprecated dependencies, and architecture drift. • Establish quality controls for maintaining all pipelines, and introduce error handling, logging mechanisms, and validation checks. • Incorporate source control for all pipelines and data analytics codebases to enable iterative code development while ensuring data architecture stability. • Optimize the ingestion, processing, and storage of a wide variety of datasets and data types, including modern columnar formats such as Parquet. • Develop self-service capabilities for SBA OIG analysts to query and export data for investigations and audits. • Coordinate with data scientists to ensure the architecture efficiently supports machine learning algorithms and data pipelines in Azure Machine Learning. • Develop robust standard operating protocols (SOPs) dictating the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in Azure environment. • Provide detailed documentation of the data architecture, including data dictionaries, ER diagrams, and pipeline process maps. • Maintain and expand the environment with additional datasets and services upon request, following a defined intake and testing process prior to production deployment. • Stay current with emerging AI tools relevant to data engineering and contribute to exploratory efforts evaluating automation and LLM-assisted capabilities.

🎯 Requirements

• Five (5) years of hands-on experience in maintaining SQL databases and conducting advanced operations in SQL and T-SQL • Five (5) years of hands-on experience in designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments • Three (3) years of hands-on experience in working in Azure Synapse and Azure Machine Learning, with the modern data stack • Certifications preferred (DP-203 or equivalent) • Manipulating data in Python. Pandas required. PySpark/Polars preferred. • Experience developing reusable, modular code preferred. • Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling) • Implementing source control and CI/CD workflows • Demonstrated familiarity with AI coding assistants and LLM integration patterns

🏖️ Benefits

• Healthcare and Insurance: medical, dental, vision, short- and long-term disability protection, basic life and AD&D insurance • 401(k) Savings Plan • Accrued Paid Time Off (PTO) • Employee Recognition and Rewards • Employee Referral Bonuses