Data Analytics Engineer (For Independent Contractors)

Details

As an Individual Contributor, you are responsible for the design and development of solutions that meet the analytical needs of the company by developing scalable, performant, and extensible data models and data processing pipelines. This drives efficiency, business velocity, and compliance across the company data estate.

This is a contract role for independent contractors (6 months). The project starts Jun 23, 2026 and ends Dec 31, 2026. Hours: 50 hrs/week. Location: Amsterdam, NH.

Key Objectives

• Strategic Influence: Support, influence, and guide business and technology strategies as they relate to data through constant cross-functional interaction.
• Stakeholder Engagement: Actively engage with product, analytics, and commercial teams across wider tracks and verticals to deeply understand their business needs.
• Commercial Alignment: Identify critical data required to address business challenges by asking insightful questions, aligning transformation with the overall commercial strategy.

Responsibilities

• Drive implementation of reliable, well-trusted metrics defined by the business, connecting disparate datasets into unified data products in the Lakehouse and/or Data Warehouse.
• Produce curated, reusable analytical data products to enable self-serve analytics for internal customers.
• Model data following best practices and Data Warehousing methodologies such as Data Vault and (Kimball) Dimensional modeling.
• Transform large, complex datasets into pragmatic, actionable insights for historical or predictive analysis and build visual validations of data products.
• Perform technical stewardship, data classification, compliance management, data quality monitoring, and security considerations.
• Maintain and tune data pipeline health, implement data quality controls, monitor performance, and proactively address risks.
• Lead technical problem resolution and clearly communicate with technical and non-technical audiences.
• Support product teams defining domain Data Architecture from conceptual to physical modeling in the Data Warehouse.
• Enter new areas, own data quality, work with product owners and scientists to develop analytics backlog, and define/break down work for junior team members.
• Contribute to data culture, community growth, training, onboarding, and mentoring within the Data Engineering community.

Requirements

Background & Core Requirements

• Minimum of 3 years of experience in a data or software-adjacent field, working with systems and data infrastructure at scale.

Technical & Professional Capabilities

• Pipeline Design: Design and implement Data Warehouse pipelines using Data Vault and/or Dimensional modeling methodologies.
• Data Frameworks: Experience with ETL/ELT tools and methodologies, relational databases, and SQL in an analytical context.
• Orchestration: Experience with workflow management and scheduling tools such as Apache Airflow or Argo.
• Code Quality: Write and maintain high-quality, reusable code, applying design patterns and meeting coding standards.
• Storytelling & Alignment: Build data exploration/visualizations and design impactful data storytelling.
• Communication: Excellent written and spoken communication skills with proven stakeholder management ability.

Preferred Technical Exposure

• Practical experience working within a DevOps / DataOps environment.