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:
As a Data Engineer, you will play a crucial role in delivering high quality releases to our customers by designing, developing, troubleshooting, maintaining, optimizing, and scaling BlackLine's cloud-based data engineering solutions and driving innovation into our product suite. In this role, you will research, test, benchmark and evaluate modern technologies, propose scaling solutions, collaborate with other teams to define, and build new features, optimize existing features while writing elegant code, and communicating with people at all levels. Your diligence, tenacity, creative problem-solving and thinking ahead will directly impact the company's success, as well as the success of your peers across the organization.
If you have a passion for delivering high-quality products that make a difference, are driven to make things better in all that you do and are eager to work in a collaborative agile environment where developers are dedicated to solving customer problems and innovating, then we want to talk to you.
You'll Get To:

• Designs and builds data service infrastructure on multiple data platforms.
• Architect and implement ETL workflows using various cloud technologies.
• Provide technical expertise in the design, development, and delivery of BlackLine's products, while adhering to timelines, coding standards, requirements, and quality.
• Design, develop, test, troubleshoot, debug, optimize, scale, maintain and improve software applications, driving the delivery of high-quality value and features to BlackLine's customers. Develop functional and technical specifications, and test plans. Review others' code. Develop and document functional and technical requirements. Collaborate with other team members and other teams on all the above.
• Design and follow coding standards, architectural plans, solve complex design and architectural problems, create robust architectural solutions.
• Implement, refine, and enforce software development techniques to ensure that delivered features meet software integration, performance, security, and maintainability expectations.
• Maintain high standards of software quality and technical excellence within the team by establishing good practices and habits and writing clean, testable, maintainable, and secure code.
• Proactively identify issues, bottlenecks, gaps, or other areas of concern or opportunity and work to either directly affect change, or advocate for that change by collaborating with peers and leadership to build consensus and act.
• Perform critical maintenance, deployment, and release support activities, including occasional off-hours support.
• Adaptable team player with strong collaboration skills and a focus on results and value delivery.
• Passion for engineering excellence, curiosity and demonstrated ability of continuous learning.

What You'll Bring:

• Years of Experience in Related Field: 3+
  Education: BS Degree in Computer Science or equivalent experience.
  Technical/Specialized Knowledge, Skills, and Abilities:
  
  • BS degree in Computer Science, Data science or equivalent experience.
  • Expert in data warehousing (etl)architecture techniques and familiarity with Kimball methodology.
  • Expert in software development, with a strong focus on data engineering.
  • Fluent in SQL, data modeling, stored procedures, and transactional flows. Fundamental understanding of database performance considerations.
  • Proficiency in Python programming and a deep understanding of libraries such as scikit-learn, pandas, polars, PyTorch, PySpark, TensorFlow, or Keras.
  • Strong knowledge of machine learning algorithms, deep learning architectures, data preprocessing, and feature engineering.
  • Proven experience with model training, validation, and deployment in real-world applications.
  • Extensive experience with methods of supervised and unsupervised machine learning, especially multivariate regression, classification, clustering, principal components analysis, factor analysis, causal modelling, structural equation modelling, and time series analysis
  • Proficiency in database technologies and ETL processes, including DBT.
  • Excellent understanding of data structures, algorithms, and design patterns.
  • Experience with containerization technologies like Docker and orchestration frameworks like Kubernetes.
  • Familiarity with cloud platforms and services, with AWS being a plus.
  • Exceptional analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • A collaborative and adaptable team player with a strong focus on delivering value.
  • Prior experience working with Agile development methodologies is preferred.
  • Passion for engineering excellence through automation, unit testing, and process improvements.

We're Even More Excited If You Have:

• Good knowledge of internet security issues in software design and code.
• Experience with R is preferred.
• Experience with NoSQL databases like DynamoDB, Cassandra.
• Experience with Snowflake is preferred.
• Experience with public cloud architectures (AWS or GCP) and cloud native services.
• Experience with container management solutions like Mesos, Kubernetes or Nomad.
• Experience with API gateway, identity management, authentication, messaging platforms (e.g.: Kafka, SQS, RabbitMQ), workflow orchestration tools, job scheduling and search.
• FinTech or Financial services domain background.

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 has 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.