Senior Data Engineer at Atlassian (Remote)

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Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it's necessary for your role to be performed in the office). 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 and build world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured problem solver who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and play an active role in building Atlassian's data-driven culture. You love thinking about how the business can consume data and then figure out how to build it.
On a typical day, you may be consulted on the information architecture of our data lake and help design and/or optimize the event collection infrastructure. You will be working with different partners to understand the business needs and architect/build the data models, data acquisition/ingestion processes, and data applications that can help address those needs. You have got proven experience working with large-scale, high-performance data processing systems (batch and/or streaming) to drive Atlassian's business growth and improve the product experience. Constantly aiming to optimize the data pipelines/infrastructure to provide data with quality and trust. As the data domain specialist, you will be partnering with our technology teams, analytical teams, and data scientists across various initiatives.
You'll lead a problem end-to-end, so those skills will come in handy not just to collect, extract, and clean the data, but also to understand the systems that generated it, and automate your analyses and reporting. On an ongoing basis, you'll be responsible for improving the data by adding new sources, coding business rules, and producing new metrics that support the business. Requirements will be vague, and Iterations will be rapid. You will need to be flexible and take smart risks.
More about you
As a senior data engineer, you will have the opportunity to apply your strong technical experience with building analytics data models that support a broad range of analytical requirements across the company. You will work with extended teams to continually evolve solutions as the business processes and requirements change. You enjoy working in a fast-paced environment and you can take vague requirements and transform them into proven solutions. You are motivated by solving meaningful problems, where creativity is as crucial as your ability to write code.
On the first day, we'll expect you to have:
  • A BS in Computer Science or equivalent experience with 5+ years professional experience as a Sr. Data Engineer or in a similar role.
  • Strong programming skills using Python & Java (good to have).
  • Experience in designing data models for optimal storage and retrieval to meet critical product and business requirements.
  • Experience building scalable data pipelines using Spark maximizing Airflow scheduler/executor framework or similar scheduling tools.
  • Experience working in a technical environment with cutting-edge technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, Kafka).
  • Ability to understand and influence logging to support our data flow, architecting logging framework & standard methodologies where needed.
  • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
  • You're well versed in modern software development practices (Agile, TDD, CICD) and how they can apply to data engineering.
  • Improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.
  • Working knowledge of relational databases and query authoring (SQL).
  • Experience with SaaS companies

We'd be super excited if you have:
  • Experience with ML engineering.
  • Followed a Kappa architecture with any of your previous deployments
  • Domain knowledge of Order Management, Entitlement, Billing, Financial and People System.

More about the team
The data engineering team is responsible for running multiple analytical data models and data pipelines all across Atlassian, including finance, growth, product analysis, customer support, sales, marketing, etc. There are endless growth opportunities. We maintain Atlassian's data lake and build creative and reliable analytics data models that provide a unified way of analyzing our customers, our products, our operations, and interactions.
You'll be joining a team that is inquisitive and very direct. We ask hard questions and challenge each other to constantly improve our work. We are self-driven but collaborative. We're all about enabling growth by delivering the right data and insights in the right way to partners across the company.
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world's best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team .
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
To learn more about our culture and hiring process, explore our Candidate Resource Hub .
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Location

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

An Insider's view of Atlassian

What's something quirky about your company?

Atlassian creates a culture that sees and understands employees as humans. We take time to celebrate how weird we all are, and it shows in the work we do.

Kesha

Product Marketing Manager

What is your vision for the company?

As the world gets eaten be software, Atlassian plays a foundational role: how do we help knowledge leaders articulate how business operates today? How do we engage 'visioneers' to help reimagine an analog process into something digital? And how do we ensure that we enable developers to be as productive and effective as possible?

Noah Wasmer

Head of Tech Teams

What are Atlassian Perks + Benefits

Atlassian Benefits Overview

Our offices are open, highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, five paid volunteer days a year for your favorite cause, plenty of food and drinks, ergonomic workstations, employer-paid insurance coverage for you and your family, pension and more.

We're a global company and each of our office locations also has its own unique perks and benefits. Some of our benefits vary slightly by location.

Culture
Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Team workouts
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Adoption Assistance
Company sponsored family events
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Volunteer Time
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Free Daily Meals
Game Room
Stocked Kitchen
Happy Hours
Parking
Pet Friendly
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
Time allotted for learning
Online course subscriptions available
Customized development tracks
Paid industry certifications

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