Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop reliable data products for order-to-cash reporting, operational dashboards, scorecards, productivity metrics, and AI-driven decision support.

• Design and uphold scalable analytical data models, semantic layers, reporting tables, views, and business definitions.

• Construct and enhance ETL/ELT workflows, SQL transformations, database views and tables, stored procedures, and scheduled processes.

• Integrate structured and semi-structured data into analytics-ready products utilizing Snowflake and cloud services.

• Establish automated frameworks for data quality and regression testing.

• Reconcile results with authoritative sources, detect anomalies, and safeguard existing models during modifications.

• Manage the entire delivery process from requirements gathering through development, version control, peer review, validation, user approval, production deployment, monitoring, and post-production issue resolution.

• Document data lineage, definitions, dependencies, and support procedures.

• Utilize approved AI assistants and engineering agents for SQL analysis, code development, pipeline configuration, debugging, documentation, and test creation with human oversight.

• Adhere to corporate policies, procedures, and security standards.

⛳️ Requirements

• A Bachelor’s Degree or higher AND eight (8) years of professional experience in data engineering, data architecture, analytics engineering, information systems, or analytics application development; OR a High School Diploma/GED AND twelve (12) years of such professional experience.

• Five (5) years of hands-on experience crafting complex SQL, analytical data models, and production ETL/ELT solutions within a cloud data warehouse environment.

• Three (3) years of experience in designing dimensional models, semantic layers, reusable reporting datasets, or governed business metrics for enterprise analytics.

• Three (3) years of experience with version-controlled development, automated testing, controlled deployments, and production support for data solutions.

• Three (3) years of experience translating intricate business requirements and rules into dependable technical solutions while effectively communicating with both technical and non-technical stakeholders.

• Familiarity with Snowflake, SQL, Python, dbt or a similar transformation framework, GitHub, Visual Studio Code, and cloud platforms such as Azure or AWS.

• Experience in creating automated reconciliation, data quality, observability, or validation solutions and in optimizing SQL or warehouse workloads.

• Experience enabling Tableau, Power BI, natural-language analytics, machine learning, retrieval-augmented generation, or agent-based solutions.

• Background in supporting order-to-cash, revenue cycle, billing, collections, productivity, customer service, healthcare, medical technology, or regulated commercial operations.

• Must possess legal authorization to work in the country of employment without requiring sponsorship for employment visa status.

🏝️ Benefits

• Medical, Dental & Vision

• Health Savings Accounts

• Health Care & Dependent Care Flexible Spending Accounts

• Disability Benefits

• Life Insurance

• Voluntary Benefits

• Paid Absences

• Retirement Benefits

• Up to 15% domestic travel may be included