Data Engineer

Get to Know Us:

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

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

Since being founded in 2001, BlackLine 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 BlackLine 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 BlackLine!

Make Your Mark:

We are looking for a motivated and enthusiastic DataOps Engineer to join our growing data team. In this role, you will be instrumental in bridging the gap between data engineering, operations, and development, ensuring our data pipelines & data infrastructure is robust, reliable, and scalable. If you have a passion for automating data processes, streamlining deployments, and maintaining healthy data ecosystems, we encourage you to apply.

You'll Get To:

• Develop and Maintain Data Pipelines: Assist in the design, development, and maintenance of scalable and efficient ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources into our data warehouse.
• Orchestrate Workflows: Implement and manage data workflows using Apache Airflow, ensuring timely execution and monitoring of data jobs.
• Containerization and Orchestration: Utilize Docker and Kubernetes to containerize data applications and services, and manage their deployment and scaling in production environments.
• Cloud Infrastructure Management & Data warehousing: Work with Google Cloud Platform (GCP) & snowflake services to deploy, manage, and optimize data infrastructure components, including performance tuning and data governance.
• Scripting and Automation: Develop and maintain Python scripts for data processing, automation, and operational tasks.
• CI/CD Implementation: Contribute to the development and improvement of our CI/CD pipelines for data applications, ensuring efficient and reliable deployments.
• System Administration: Provide basic Unix/Linux administration support for data infrastructure, including scripting, monitoring, and troubleshooting.
• Monitoring and Alerting: Help implement and maintain monitoring solutions for data pipelines and infrastructure, responding to and resolving incidents.
• Collaboration: Work closely with Data Engineers, Data Scientists, and other stakeholders to understand data requirements and deliver reliable data solutions.
• Documentation: Contribute to the documentation of data pipelines, processes, and operational procedures.
  
  
  

What You'll Bring:

• 2-6 years of professional experience in a DataOps, Data Engineering, or a similar role.
• Proficiency in Python & SQL for data scripting and automation.
• Familiarity with ETL concepts & tools like airflow, dbt, and experience in building data pipelines.
• Hands-on experience with Docker & Kubernetes for containerization.
• Experience with Apache Airflow for workflow orchestration.
• Working knowledge of at least one major cloud platform, preferably Google Cloud Platform (GCP).
• Basic Unix/Linux administration skills.
• Familiarity with CI/CD principles and tools.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.
• Excellent communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  
  
  

We’re Even More Excited If You Have:

• Experience with other data orchestration tools.
• Knowledge of data governance and data quality best practices.
• Contributions to open-source projects.
• Experience in an agile development environment.
  
  
  

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 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.
  
  
  

BlackLine 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.

BlackLine 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 maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.