About Blackline
Backed by ICONIQ.
About the role
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. Years of Experience in Related Field: 3+ years of experience as a Data Engineer or a similar role Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- 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 and varying interests cultivates diverse thought and perspectives
- A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity
More about this role
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.
- 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...
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