Senior Data Engineer
San Francisco - United States - San Francisco, California 94104 United States; Remote - Remote; Remote - Americas - Remote
Overview
Working at Atlassian
Atlassians 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.Atlassian is looking for a Senior Data Engineer to join our 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.
You'll have flexibility in where you work – whether in an office, from home (remote), or a combination of the two.
Responsibilities
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 industry where digital innovation meets partner/customer needs over time.
Qualifications
On your first day, we'll expect you to have:
BS in Computer Science or equivalent experience with 5+ years as Data Engineer or 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, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)
Familiar 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 and domain knowledge of Financial and People System
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: $163,400 - $217,800
Zone B: $147,000 - $196,000
Zone C: $135,600 - $180,800
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 Equity opportunities Health coverage Paid volunteer days Remote-first company Variety of perks Wellness resources
Tasks- Build scalable data pipelines
- Collaboration
- Design data models
- Development
- Enhance data quality
- Innovation
Agile Agility Airflow Analytical Apache Architecture Athena Atlassian AWS C CI/CD Coding Collaboration Customer Needs Data engineering Data Pipelines Data processing Data Quality Design EMR Flink Go Health Coverage Hive Innovation Java Kafka Legal Metrics Onboarding Product Programming Python Redshift Relational databases Reporting Software Development Software Products Spark SQL TDD Team Collaboration Technology Wellness Resources
Experience5 years
EducationB.S. in Computer Science Business Computer Science Engineering Equivalent experience
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9