Data Engineer

Data Engineer

Our client, NYSTEC, is a respected, mission-driven organization focused on leveraging data, technology, and innovation to support strategic decision-making and operational excellence. As the organization continues to invest in its enterprise data capabilities, it is seeking a skilled Data Engineer to help advance its modern data platform and support future analytics, reporting, and AI initiatives.

The Data Engineer will serve as a key member of the Business Intelligence team, responsible for designing, developing, and maintaining the organization's enterprise data platform. This individual will play a critical role in building scalable data solutions, supporting the continued adoption of Microsoft Fabric, and ensuring data is secure, reliable, and accessible across the organization.

This is a highly visible position with significant ownership and influence over data architecture, integration strategies, and platform performance. The ideal candidate is a true data engineering professional who can independently develop and support enterprise data solutions while partnering effectively with both technical and business stakeholders.

Responsibilities:

• Design, develop, and maintain scalable enterprise data pipelines and integration solutions.
• Build and support data warehouses, lakehouses, and analytical data repositories.
• Develop and maintain ETL/ELT processes to ingest, transform, validate, and deliver data from multiple internal and external sources.
• Create and optimize data models that support reporting, analytics, and business intelligence initiatives.
• Develop solutions using SQL, Python, and PySpark to support data processing, automation, and analytics.
• Integrate data from enterprise applications, APIs, relational databases, cloud environments, and third-party systems.
• Implement and maintain data governance, security, metadata management, and data quality standards.
• Monitor and optimize the performance, scalability, and reliability of the organization's data platform.
• Collaborate with business stakeholders and technical teams to translate business needs into scalable data solutions.
• Support ongoing modernization efforts and future initiatives related to analytics, artificial intelligence, and self-service reporting.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field, or an equivalent combination of education and experience.
• Minimum of 5 years of experience designing, developing, and supporting enterprise data platforms.
• Proven experience working in a Data Engineer role rather than a primarily Data Analyst-focused position.
• Ability to work independently while managing multiple priorities in a collaborative environment.
• Strong communication and stakeholder engagement skills.
• Authorization to work in the United States without sponsorship.

Required Skills:

• Hands-on experience with Microsoft Fabric and modern Microsoft data technologies.
• Advanced SQL development skills, including query optimization, database design, and performance tuning.
• Strong proficiency with Python and/or PySpark.
• Experience designing and supporting ETL/ELT processes and data integration solutions.
• Experience building and supporting data warehouses, lakehouses, and enterprise data models.
• Strong understanding of enterprise data architecture, governance, security, and data quality best practices.
• Experience integrating data from multiple source systems, APIs, databases, and cloud platforms.
• Strong analytical, troubleshooting, and problem-solving abilities.

Certifications (Preferred):

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Other Microsoft data platform certifications