Staff I Data Engineer

Make Your Mark: We’re looking for a Staff Data Engineer to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You’ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams. You'll Get To: Responsibilities: Lead  data  pipeline development:  Build and maintain PySpark ETL pipelines with high  data  quality and performance Manage integrations:  Establish robust connections to client  data  sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem Ensure reliability:  Monitor pipeline performance, automate testing, and validate  data  accuracy Optimize for scale:  Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale  data sets Collaborate & innovate:  Work with business stakeholders to refine  data  requirements and integrate cutting-edge AI and big  data  technologies Design and build infrastructure for optimal extraction, transformation, and loading (ETL) of  data  from a wide variety of  data  sources, including  data  identification, mapping, aggregation, conditioning, cleansing, and analyzing. Identify, design, and implement internal process improvements: automating manual processes, optimizing  data  delivery, re-designing infrastructure for greater scalability, etc. Collaborate with cross-functional teams, including  data  scientists, analysts, and business stakeholders, to understand  data  requirements and deliver valuable insights. Effectively communicate complex technical concepts to non-technical audiences. Desire to automate everything. Maintain documentation and operational knowledge base. Coach and technically train junior staff on design and development standards and best practices. Design and implement  data  security and governance protocols to ensure the accuracy and reliability of  data . Qualifications: Years of Experience in Related Field:  3+ years of experience as a  Data   Engineer  or a similar role Education :  Bachelor’s degree in Computer Science,  Engineer ing or a related field Technical/Specialized Knowledge, Skills, and Abilities: Technical skills:  Expertise in PySpark and  data  transformation pipelines. Familiarity with AI technologies and cloud platforms (AWS, Azure) is a plus Communication:  Strong communication skills and a proactive, ownership-driven mindset Adaptability:  Thrive in a fast-paced, in-office-first startup environment What You'll Bring: Thrive at BlackLine Because You Are Joining: A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation! A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds…