Data Engineer - Hybrid Onsite (Palo Alto, San Francisco)

• Essential Duties and Responsibilities:

• Adapt and optimize firm-standard ETL/ELT data pipelines to ensure accurate and timely data integration to and from firm data repositories.
• Manage finance-related data models, schemas, and structures to support analytics and reporting needs.
• Translate complex business requirements into intuitive and actionable reports.
• Partner with business stakeholders to define KPIs and ensure consistent reporting standards.
• Integrate firm-level information security policies and processes to ensure data accuracy, integrity, and security.
• Monitor and troubleshoot data workflows, ensuring performance optimization.
• Support firm data governance practices and DLP policies, including data classification, access controls, documentation and change management procedures. Work closely with business analysts, data scientists, and IT teams to ensure compliance, mitigate risk and deliver full-cycle data solutions.
• Mentor junior data specialists, analysts, and other engineers, and contribute to the firm s best practices and technical standards.
• Be a key contributor and resource to the firm s overall data strategy and architecture, including the development of best practices and procedures for developing and providing reports, dashboards and other data services throughout the firm.

• Education and Work Experience Requirements:

• Bachelor s or master s degree in computer science, Information Systems, Data Engineering, or related field.
• 8+ years of hands-on experience in data warehouse development and optimization, ETL/ELT development, and SSRS reporting solutions.
• Strong expertise in SQL (query optimization, stored procedures, indexing).
• Proficiency with Azure data lake/warehouse technologies (Azure Synapse, Azure Databricks, Microsoft Fabric, etc.).
• Experience with ETL tools (Informatica, Talend, SSIS, dbt, or similar).
• Solid understanding of data modeling (star schema, snowflake schema, OLAP/OLTP concepts).
• Knowledge of cloud platforms (Azure) and modern data stack tools.
• Strong problem-solving, analytical, and communication skills.

NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.