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Data Engineer
Pyramid Consulting Group, LLC
1 day ago
Full-time
On-site
New York, NY
$40 - $50 USD hourly
Our client, a leading global luxury organization, is seeking a motivated and detail-oriented Data Engineer to join its growing North American Data team in New York City, with a hybrid schedule requiring four days onsite and one day remote per week. This individual will support the development and maintenance of data solutions, contributing to initiatives that improve data quality, accessibility, reporting, and overall business intelligence. This is a temporary 6-month assignment with the possibility of extension based on business needs and performance. This is an excellent opportunity to gain hands-on experience with modern data technologies while collaborating with technical teams and cross-functional business partners across a global organization. Responsibilities
- Assist in building, maintaining, and optimizing data pipelines, transformation workflows, and data models.
- Develop and maintain SQL queries, dbt models, and datasets within cloud-based data platforms.
- Support data integration efforts by researching and incorporating new data sources.
- Apply software development best practices, including version control, testing, documentation, and code reviews.
- Monitor data accuracy, investigate inconsistencies, and help resolve data quality issues.
- Contribute to ongoing data governance and standardization initiatives.
- Support the development and enhancement of dashboards, reports, and data products using tools such as Looker.
- Assist with quality assurance and testing of new data products and system releases.
- Maintain technical documentation, data dictionaries, and user reference materials.
- Partner with business stakeholders to understand reporting needs and improve data accessibility.
- Provide end-user support, demonstrations, and training to encourage adoption of data tools.
- Identify opportunities to improve reporting capabilities and overall user experience.
- Monitor data platform performance, availability, and reliability.
- Assist with troubleshooting data-related issues and responding to internal support requests.
- Track projects, tasks, and deliverables using project management tools such as Jira.
- Support data access management, documentation, and governance processes.
- Collaborate with technical teams and global business partners to address data-related needs.
- Explore opportunities to leverage AI-assisted tools and emerging technologies to improve analytics and workflows.
- Approximately 1+ years of experience in data engineering, data analytics, business intelligence, or data warehousing.
- Strong SQL skills and the ability to write and troubleshoot complex queries.
- Exposure to cloud-based data platforms such as Google BigQuery or Google Cloud Platform (GCP).
- Familiarity with dbt, Looker, Power BI, Tableau, or similar data and visualization tools.
- Understanding of data modeling, transformation workflows, and data pipeline development.
- Familiarity with software development practices such as Git, testing, documentation, and version control.
- Strong analytical, problem-solving, and troubleshooting abilities.
- Proficiency in Microsoft Office Suite.
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
- Experience in retail, luxury, technology, finance, or other global business environments is a plus.
- Exposure to Python, AI-assisted development tools, or automation is advantageous.