Data Engineer
Atlassian
This job is no longer accepting applications
See open jobs at Atlassian.See open jobs similar to "Data Engineer" Accel.Data Engineer
Analytics & Data Science | San Francisco, United States | Remote, Remote | Full-Time
Apply for this jobAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
You will be part of a world-class Data Engineering team, where you will:
influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
You will be involved in strategizing measurement, collecting data, and generating insights.
This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $140,100 - $186,800
Zone B: $126,100 - $168,100
Zone C: $116,300 - $155,000
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting
Developing at scale and improving efficiency
Working autonomously and adding perspective to the team
Minimum Qualifications
Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics
Additional/Desirable Qualifications
4+ Years of Experience in Data Engineering or related fields OR 2+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field
An understanding of the SaaS business model and data structures
Experience in Enterprise Software product development
This job is no longer accepting applications
See open jobs at Atlassian.See open jobs similar to "Data Engineer" Accel.