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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 member of the Data & BI Engineering team you will primarily focus on advancing our Enterprise Data Platform to allow the organization to make data-driven decisions. The successful candidate will work closely with cross-functional teams to identify business requirements, design, and develop data models, data warehouses, and data visualization solutions that help support the organization's strategic goals.
The Staff Data Engineer will work in a dynamic environment and will be required to stay current with the latest trends and technologies in the business intelligence field. The ideal candidate will be able to pick up business domain and internal process knowledge and leverage that knowledge to think strategically, communicate effectively, and manage multiple projects simultaneously.
The team is also responsible for administering tools and platforms around reporting, analytics, and data visualization while promoting best practices. The role requires a strong combination of technical expertise, leadership skills, and a deep understanding of data engineering principles and best practices. We are looking for a driven, detail-oriented, and passionate engineer to come to join our team.
You'll Get To:
- 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.
What You'll Bring:
Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Technical/Specialized Knowledge, Skills, and Abilities:
- 10+ years as a data engineer.
- 10+ years of experience using RDBMS, SQL, Python languages.
- 10+ years of experience with ETL/ELT tools like Matillion, Cloud Data Fusion, Informatica, Talend, Airflow, SSIS.
- 8+ years of experience with BI Tools like Tableau, Power BI, Looker.
- 3+ years of experience with cloud-native architecture and data solutions such as EMR, RDS, BigQuery and RedShift.
- Strong familiarity with GCP, AWS, SQL Server, BigQuery.
- Proficient in writing advanced SQL procedures, tuning SQL execution plans.
- Demonstrated knowledge of development processes and agile methodologies.
- Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms.
- Comfortable handling large amounts of data.
- Experience ensuring data and modeling accuracy, cleanliness, reliability.
- Experience translating business requirements into functional, and non-functional requirements.
We're Even More Excited If You Have:
- 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.
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.
