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4 results for Data Modeler I in New York, NY

Data Engineer
  • New York, NY
  • remote
  • Permanent
  • 147000 - 172000 USD / Yearly
  • We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
  • 2026-03-05T00:00:00Z
Data Engineer
  • Saddle Brook, NJ
  • onsite
  • Permanent
  • 125000 - 140000 USD / Yearly
  • <p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design &amp; Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL &amp; Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation &amp; Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity &amp; Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
  • 2026-03-16T00:00:00Z
Visual Designer
  • New York, NY
  • remote
  • Temporary
  • 55.4135 - 64.163 USD / Hourly
  • We are looking for a highly skilled Visual Designer to join our team on a long-term contract basis in New York, New York. This role requires a creative and detail-oriented individual with a strong background in graphic design and expertise in using industry-standard tools to deliver visually compelling designs. The ideal candidate will collaborate closely with various teams to create engaging visuals that align with project goals and brand identity.<br><br>Responsibilities:<br>• Design and develop high-quality graphics, layouts, and visual elements that align with branding standards.<br>• Utilize tools like Adobe Photoshop and Illustrator to create visually appealing designs.<br>• Collaborate with cross-functional teams to understand project requirements and deliver creative solutions.<br>• Create data visualizations and infographics to communicate complex information effectively.<br>• Develop iconography and microinteractions to enhance user experience.<br>• Maintain consistency across all visual assets while adhering to design guidelines.<br>• Stay updated with design trends and implement innovative ideas into projects.<br>• Optimize designs for both digital and print formats.<br>• Ensure timely delivery of high-quality design assets.<br>• Revise designs based on feedback to meet client and team expectations.
  • 2026-03-13T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary
  • 66.5 - 77 USD / Hourly
  • We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.
  • 2026-03-16T00:00:00Z