Apex Systems
Job Description:
As a Lead Data Engineer, you will fill a new Contract-to-hire role that sits on the data team in the technology organization. Your colleagues will include scrum masters, data analysts, and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you’ll help move us forward:
This role will lead a junior team member and contractors. Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Design & build scalable products with robust security, quality, and governance protocols. Lead delivery of data engineering pipelines to enable Sales, Marketing, Advanced Analytics, and CRM use-cases. Build scalable and reliable data pipelines to support data ingestions (batch and/or streaming) and transformation from multiple data sources using cloud-based technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage, and execute work. Demonstrate adaptability, initiative, and attention to detail through deliverables and ways of working. The experience you bring: Bachelor’s degree in Computer Science, Data Science, or Statistics. 8+ years of experience in analysis, design, development, and delivery of data. 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools. Understanding of data engineering best practices and data integration patterns. 2+ years of experience with DevOps and CI/CD. 1+ years of experience (not just POC) in using Git and Python. Experience in agile methodologies. Effective communication & facilitation; both verbal and written. Team-Oriented: Collaborating effectively with team and stakeholders. Analytical Skills: Strong problem-solving skills with the ability to breakdown complex data solutions. What makes you stand out: Experience with Customer, Product, or Contract data domains in the Financial Services industry. Experience building Customer Data Platforms (CDP) or Customer 360. Experience working with Azure DevOps (ADO), Build and Release CI/CD pipelines, and orchestration. Expertise in Snowflake and DBT. Strong communicator, with skills leading and facilitating cross-functional teams. Experience with automation, scripting, and testing in a data delivery environment. Understanding of data catalogs, glossary, data quality, and effective data governance. Financial Services/Investments/Insurance domain knowledge. Experience working in complex data systems.
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As a Lead Data Engineer, you will fill a new Contract-to-hire role that sits on the data team in the technology organization. Your colleagues will include scrum masters, data analysts, and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you’ll help move us forward:
This role will lead a junior team member and contractors. Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Design & build scalable products with robust security, quality, and governance protocols. Lead delivery of data engineering pipelines to enable Sales, Marketing, Advanced Analytics, and CRM use-cases. Build scalable and reliable data pipelines to support data ingestions (batch and/or streaming) and transformation from multiple data sources using cloud-based technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage, and execute work. Demonstrate adaptability, initiative, and attention to detail through deliverables and ways of working. The experience you bring: Bachelor’s degree in Computer Science, Data Science, or Statistics. 8+ years of experience in analysis, design, development, and delivery of data. 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools. Understanding of data engineering best practices and data integration patterns. 2+ years of experience with DevOps and CI/CD. 1+ years of experience (not just POC) in using Git and Python. Experience in agile methodologies. Effective communication & facilitation; both verbal and written. Team-Oriented: Collaborating effectively with team and stakeholders. Analytical Skills: Strong problem-solving skills with the ability to breakdown complex data solutions. What makes you stand out: Experience with Customer, Product, or Contract data domains in the Financial Services industry. Experience building Customer Data Platforms (CDP) or Customer 360. Experience working with Azure DevOps (ADO), Build and Release CI/CD pipelines, and orchestration. Expertise in Snowflake and DBT. Strong communicator, with skills leading and facilitating cross-functional teams. Experience with automation, scripting, and testing in a data delivery environment. Understanding of data catalogs, glossary, data quality, and effective data governance. Financial Services/Investments/Insurance domain knowledge. Experience working in complex data systems.
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