Data Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Create and modify intricate ETL and data pipelines for large-scale datasets.

• Develop and sustain monitoring and alerting systems for data, infrastructure, and workflow challenges.

• Design data warehousing solutions while optimizing queries and pipelines for extensive processing.

• Collaborate with attorneys, data scientists, engineers, and both technical and non-technical stakeholders.

• Lead comprehensive data engineering projects, encompassing planning, documentation, coordination, system design, and execution.

• Identify data and system challenges, implementing improvements for reliability, efficiency, and visibility.

• Articulate technical concepts and project updates to both technical and non-technical audiences.

• Participate in internal practice community meetings.

• Work with the itD practice team on industry thought leadership initiatives.

• Complete client case studies and educational materials, which include blogs and media content.

• Develop resources for the Digital Transformation practice.

• Attend internal itD networking events.

• Collaborate with leadership on opportunities for career advancement and fast-tracking.

⛳️ Requirements

• 5–7+ years of experience in data engineering or a similar field.

• Proficient in SQL at an expert level, including experience with relational or distributed query engines such as Presto, PostgreSQL, or MySQL.

• Advanced proficiency in Python programming.

• Expertise in building and managing ETL/data pipelines utilizing pipeline orchestration tools like Airflow or equivalent technologies.

• Proven experience leading data engineering projects on a large scale, engaging both technical and non-technical stakeholders.

• Demonstrated capability to design and implement complex monitoring and alerting systems.

• Excellent written and verbal communication skills.

• Ability to work independently while effectively collaborating with multiple stakeholder groups.

• Strong understanding of data privacy and security considerations in data engineering contexts.

• Bachelor’s degree in a relevant discipline or equivalent professional experience is required.

• Direct W2 candidates only; no sponsorship is available.

🏝️ Benefits

• Extensive medical benefits.

• Coverage including medical, dental, vision, and life insurance.

• 401K with matching contributions.

• Paid holidays.

• Opportunities for networking as well as career learning and development programs.

• Reasonable accommodations for individuals with disabilities.

• Fast-track career advancement opportunities.

• Internal networking events.

• Global community engagement and opportunities to contribute to meaningful causes.