Staff I Data Engineer
About The Position
The Staff I Data Engineer will design, build, and optimize data pipelines and scalable data infrastructure that power AI-driven accounting agents. The role leads development of high-performance data systems, establishes integrations with client data sources, improves pipeline reliability and scale, and collaborates with technical and business teams to deliver trusted data and insights. It also includes improving internal processes, documenting operational knowledge, coaching junior staff, and implementing data security and governance protocols. The position is part of BlackLine's in-office-first startup environment. BlackLine describes its workplace as a combination of virtual and in-person collaboration; candidates living within a reasonable commute of an office are expected to work there at least three days per week.
Requirements
- At least 3 years of experience as a Data Engineer or in a similar role.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Expertise in PySpark and data transformation pipelines.
- Strong communication skills.
- A proactive, ownership-driven mindset.
- Ability to thrive in a fast-paced, in-office-first startup environment.
Nice To Haves
- Familiarity with AI technologies and cloud platforms such as AWS or Azure.
Responsibilities
- Build and maintain PySpark ETL pipelines with high data quality and performance.
- Establish robust connections to client data sources through APIs and tools such as FiveTran, Plaid, and BlackLine's internal connector ecosystem.
- Monitor pipeline performance, automate testing, and validate data accuracy.
- Improve performance for large-scale datasets, including through CDC mechanisms and indexing strategies.
- Work with business stakeholders to refine data requirements and integrate AI and big data technologies.
- Design and build infrastructure for extracting, transforming, and loading data from diverse sources, including identifying, mapping, aggregating, conditioning, cleansing, and analyzing data.
- Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and redesigning infrastructure for scalability.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver valuable insights.
- Communicate complex technical concepts to non-technical audiences.
- Maintain documentation and an 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 support data accuracy and reliability.
Benefits
- Professional development seminars.
- Inclusive affinity groups.
- Short-term and long-term incentive programs, based on eligibility.
- Benefit and wellness plans.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
