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

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

• Understanding of data privacy and security best practices particularly in the age of AI
• Strong analytical and problem-solving skills
• Experience in fin-tech or financial services industry 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 perspectives.
• A culture where Black Liner's continued growth and learning is empowered. Black Line offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

Black Line is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.

Black Line recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to…