Data Engineer II (6333)

itD is a consulting and software development company focused on delivering innovative technology solutions and business results. The Data Engineer II will build and optimize complex ETL pipelines, monitoring systems, and scalable data solutions supporting legal and eDiscovery infrastructure. The role also involves cross-functional collaboration, workflow optimization, documentation, and adherence to privacy, security, and compliance standards.

Responsibilities:

• Design, build, and maintain scalable ETL pipelines for processing large and complex datasets
• Develop monitoring and alerting systems to ensure data accuracy, reliability, and availability
• Collaborate with attorneys, data scientists, and cross-functional teams to gather requirements and deliver data solutions
• Lead or contribute to end-to-end data engineering initiatives across multiple stakeholders
• Optimize query performance and data workflows across large-scale data environments
• Create documentation, system design plans, and deployment strategies
• Ensure adherence to data privacy, security, and compliance standards
• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Requirements:

• 3+ years of experience in data engineering
• Strong proficiency in SQL (Presto, Postgres, MySQL, or equivalent)
• Strong proficiency in Python
• Experience building and maintaining ETL pipelines
• Hands-on experience with workflow orchestration tools (e.g., Airflow or equivalent)
• Experience working in cross-functional environments with multiple stakeholders
• Strong communication skills with ability to work across technical and non-technical teams
• Bachelor's degree in Computer Science or a related field, or equivalent work experience required
• Experience leveraging AI tools to improve data workflows or automate processes
• Background in regulated environments (legal, compliance, privacy, security)
• Experience in startup or high-ambiguity environments
• Experience mentoring or supporting junior team members
• Exposure to data loss prevention or remediation workflows