Data Engineer

Get to Know Us

It's fun to work in a company where people truly believe in what they're doing!

At Black Line, we're committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, Black Line has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At Black Line we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

Work, Play and Grow at Black Line!

We’re looking for a Lead 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 Five Tran, Plaid, and Black Line’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 datasets
• 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.

• 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, Engineering 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.

• Experience with Google Cloud or similar cloud provider
• Significant experience with open source platforms and technologies.
• Experience with data science and machine learning tools and technologies is a plus.

• A technology-based company with a sense of adventure and a vision for the future. Every door at Black Line 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 and varying interests cultivates diverse thought and…