Data Engineer
San Francisco - United States - San Francisco, California 94104 United States; Seattle - United States - Seattle, Washington United States; Remote - Remote; Sydney - Australia - Sydney, 2000 Australia
Overview
Working at Atlassian
Atlassian's can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassian's 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.
Atlassian is looking for a Data Engineer to join our Markets Data Engineering Team. You will build top-notch data solutions and applications that inspire important decisions across the organization. You will be reporting to the Senior Data Engineering Manager.
A typical day may involve collaborating with partners, you will design data models, acquisition processes, and applications to address needs. With experience in large-scale data processing systems (batch and streaming), you will lead business growth and enhance product experiences. And will collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs.
You'll take ownership of problems from end-to-end: extracting/cleaning data, and understanding generating systems. Improving the quality of data by adding sources, coding rules, and producing metrics is crucial as requirements evolve. Agility and smart risk-taking are important qualities in this role where innovation meets partner/customer needs over time.
Responsibilities
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.
Your work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.
Your Role
Data Engineering is a multi-faceted role, where you can have focused or a 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
On your first day, we'll expect you to have
BS in Computer Science or equivalent experience with 3+ years as a Data Engineer or a similar role
Programming skills in Python & Java (good to have)
Design data models for storage and retrieval to meet product and requirements
Build scalable data pipelines using Spark, Airflow, dbt, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka) and databricks
Experience with modern software development practices (Agile, TDD, CICD) applied to data engineering
Enhance data quality through internal tools/frameworks detecting DQ issues. Working knowledge of relational databases and SQL query authoring
We'd be super excited if you have
Followed a Kappa architecture with any of your previous deployments
Built and ran continuous integration pipelines.
Familiar with building pipelines using Databricks. Have some experience with their API's and creating dashboards
Contributed to open source projects (Ex: Operators in Airflow)
Qualifications
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 - $168,200
Zone C: $116,300 - $155,100
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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
ApplyJob Profile
Bonuses Commissions Competitive compensation Equity Flexible work location Health coverage Paid volunteer days Remote-first company Support for personal goals Variety of perks Variety of perks and benefits Virtual onboarding Wellness resources
Tasks- Build data solutions
- Collaborate with teams
- Collaboration
- Design data models
- Development
- Develop scalable data pipelines
- Drive strategy
- Enhance data quality
- Improve data quality
- Innovation
Agile Agility Airflow Analytical Analytics Apache API Architecture Athena Atlassian AWS C CI/CD Coding Collaboration Continuous Integration Customer Needs Dashboards Databricks Data engineering Data Pipelines Data processing Data Quality Data Science Dbt Design EMR Enablement Engineering Flink Go Governance Health Coverage Hive Influence Innovation Insights Integration Java Kafka Legal Logging Metrics Modeling Onboarding Product Programming Python Redshift Relational databases Reporting Software Software Development Software Products Spark SQL Strategy TDD Team Collaboration Technology Wellness Resources
Experience3 years
EducationB.S. in Computer Science Business Computer Science Data Science Design Engineering Equivalent Equivalent experience
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC+10 UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9