Associate Principal Data Engineer

Investcloud • Warren Twp, NJ

65d • $165,000 - $175,000

About The Position

The Senior Data Engineer will join InvestCloud's newly formed AI, Data & Analytics team, whose mission is to drive increased value from the data InvestCloud captures to enable a smarter financial future for our clients focused on enhanced intelligence. This is a unique opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem to create a next-generation advisor and client experience. The team is building for scale - the technology and infrastructure designed today will serve thousands of clients and petabyte-level data volumes.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field; advanced degree is a plus
• 6+ years of professional experience in Data Engineering
• Experience shaping the architecture of a mature cloud data platform (AWS, GCP, or Azure) designed for different consumer types and delivering measurable business value
• Hands-on experience building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and streaming (Kafka, Kinesis, Flink, Spark) data pipelines at scale (>1 TB/day)
• Experience designing and implementing performant, reusable, and scalable data models in a cloud data warehouse (dbt, BigQuery, Snowflake) and with legacy ecosystems (Oracle, Postgres)
• Proven experience running PoCs, leading large data or code migrations, and contributing to roadmap planning
• Ability to build and maintain infrastructure using IaC (Terraform, OpenTofu, Ansible), containerization (Docker), and CI/CD tools (Jenkins, GitHub Actions)
• Experience with operational monitoring tools for data and infrastructure observability (Monte Carlo, Datadog, Prometheus), and incident management (PagerDuty, incident.io)
• Proficiency in SQL and Python, with confidence applying them across data engineering tasks
• Strong communication and collaboration skills with both technical and non-technical stakeholders
• AI-proficient or AI-curious, with interest in using emerging technologies to enhance productivity
• Exposure to Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (LangChain)

Responsibilities

• Build reliable and scalable data pipelines and capabilities across the platform, and monitor and support the capabilities offered
• Construct complex architectures integrating multiple services, SaaS tools, and third-party data sources in a cloud-based environment
• Contribute to the team's technical strategy and its execution through prioritization and delivery management
• Set and enforce high standards for documentation, testing, resiliency, monitoring, and code quality
• Drive efficiency, optimize cloud spend, reduce technical debt, and simplify code, infrastructure, and data models
• Write reusable and well-documented code that captures the essential nature of the solution
• Inspire and guide team members through design sessions, code reviews, and operational process ownership
• Promote data quality, governance, and security as core principles of the platform, ensuring compliance with relevant regulations

Benefits

• medical/Rx insurance
• dental insurance
• vision insurance
• disability insurance
• life/AD&D insurance plans
• Flexible Savings Account (FSA)
• Health Savings Account (HSA)
• Employee Assistance Plan (EAP)
• health advocacy
• voluntary ancillary plans (accident, critical illness, hospital indemnity, legal, identity theft, auto/home, and pet insurance)
• 401(k) retirement savings plan with company match
• paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees