Data Engineer

Rate: $85-100/hour/hour incorporated

• Strong hands-on Snowflake and Data Engineering experience
• Previous experience in Capital Markets, Asset Management, or Investment Management
• Excellent communication and collaboration skills
• Strong team-oriented approach

Our client is seeking a Senior Data Engineer to support the development and expansion of enterprise data products within a modern Snowflake-based environment. The successful candidate will contribute to data platform strategy, engineering standards, cloud technologies, and the delivery of scalable data solutions.

• Provide technical leadership, mentorship, and guidance to data, cloud, and software engineering professionals.
• Collaborate with technical leadership to establish engineering direction, architecture, and technology strategies.
• Assess and implement integrations that support enterprise data discovery, accessibility, and data-as-a-product initiatives.
• Partner with platform and technology teams to evaluate and introduce tools that address both immediate and long-term data engineering requirements.
• Work collaboratively with enterprise technology teams to promote shared development practices and reusable solutions.
• Partner with program and delivery leads to prioritize initiatives, maintain the team's technical backlog, and communicate progress on key deliverables.
• Establish and enhance Dev Ops practices that improve engineering efficiency, deployment processes, and overall developer experience.
• Design and implement scalable data pipelines, data platforms, data lakes, and data warehouse solutions.
• Contribute to the development and optimization of cloud-based data architectures and applications.

• 6+ years of professional experience in data engineering or technology environments, including delivery of complex, enterprise-scale initiatives.
• 4+ years of hands-on experience developing data platforms, applications, and pipelines using cloud technologies.
• Strong understanding of modern data engineering, analytics architectures, databases, and cloud platforms such as AWS, Azure, or GCP.
• 2+ years of experience within Asset Management, Capital Markets, Investment Management, or a closely related financial services environment.
• Strong experience with Snowflake and modern data warehouse technologies.
• Hands-on experience with ETL development, including Informatica/Power Center, PL/SQL, SQL Server, and database performance optimization.
• Experience designing and supporting data ingestion and transformation workflows.
• Strong programming capabilities using technologies such as Python, Java, Scala, and SQL.
• Solid knowledge of AWS services and cloud-native data technologies, including services such as S3, EC2, EKS, Glue, Sage Maker, Athena, and Redshift.
• Experience with API development, integration solutions, and microservices architectures.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• Strong communication, stakeholder management, negotiation, and influencing abilities.
• Demonstrated ability to make sound technical decisions, manage competing priorities, drive change, and deliver measurable outcomes.

Note:

We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.