Staff I 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 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:
Provide technical expertise and leadership in technology direction, road-mapping, architecture definition, design, development, and delivery of enterprise-class solutions while adhering to timelines, coding standards, requirements, and quality.
Architect, design, develop, test, troubleshoot, debug, optimize, scale, perform the capacity planning, deploy, maintain, and improve software applications, driving the delivery of high-quality value and features to Blackline's customers.
Work collaboratively across the company to design, communicate and further assist with adoption of best practices in architecture and implementation.
Deliver robust architectural solutions for complex design problems.
Implement, refine, and enforce data engineering best practices to ensure that delivered features meet performance, security, and maintainability expectations.
Research, test, benchmark, and evaluate new tools and technologies, and recommend ways to implement them in data platform. Identify and create solutions that are likely to contribute to the development of new company concepts while keeping in mind the business strategy, short- and long-term roadmap, and architectural considerations to support them in a highly scalable and easy extensible manner.
Actively participate in research, development, support, management, and other company initiatives designing solutions to optimally address current and future business requirements and infrastructure plans.
Inspire a forward-thinking team of developers, acting as an agent of change and evangelist for a quality-first culture within the organization. Mentor and coach key technical staff and guide them to solutions on complex design issues.
Act as a conduit for questions and information flow when those outside of Engineering have ideas for new technology applications.
Speak in terms relevant to audience, translating technical concepts into non-technical language and vice versa. Facilitate consensus building while striving for win/win scenarios and elicit value-add contributions from all team members in group settings.
Maintain a strong sense of business value and return on investment in planning, design, and communication.
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 working with peers and leadership to build consensus and act.
Perform critical maintenance, deployment, and release support activities, including occasional off-hours support.
What You'll Bring:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field.10+ years as a data engineer.10+ years of experience using RDBMS, SQL, NoSQL, Python, Java, or other programming languages is a plus. 10+ years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using enterprise ELT/ETL tools and Open source. 5+ years working experience with SQL and familiarity with Snowflake data warehouse, strong working knowledge in stored procedures, CTEs, and UDFs, RBACKnowledge of data integration and data quality best practicesFamiliarity with data security and privacy regulations.Experience in working in a startup-type environment, good team player, and can work independently with minimal supervision Experience with cloud-native architecture and data solutions.Strong working knowledge in data modeling, data partitioning, and query optimization Demonstrated knowledge of development processes and agile methodologies.Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms.Proficient in managing large volumes of data. Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Experience in providing technical support and troubleshooting for data-related issues. Expertise with at least one cloud environment and building cloud native data services. Prior experience driving data governance, quality, security initiatives.
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.