Senior Data Engineer

MozillaMozilla·Remote
Software Development

WFA Digital Insight

As the demand for skilled data engineers continues to surge, with a 25% increase in job postings over the past year, Mozilla's Senior Data Engineer role stands out in the remote job market. With the rise of big data and analytics, companies are looking for professionals who can bridge the gap between technical systems and business needs. Mozilla, a pioneer in open-source software, is no exception. With its mission to make the internet better for people, this role offers a unique chance to work on impactful projects. Before applying, candidates should be aware that they will need to demonstrate expertise in data engineering, a strong understanding of data quality, and the ability to collaborate with cross-functional teams.

Job Description

About the Role

The Senior Data Engineer role at Mozilla is a critical position that will be responsible for managing the entire data lifecycle, from ingesting and transforming raw data into reliable, high-quality models that empower Mozillians to make data-informed decisions. As a key member of the Data Engineering team, this role will bridge the gap between technical systems and business needs, helping to build a better data platform while ensuring that the data itself is easy for other teams to use and trust.

The team has driven recent platform improvements, including launching a data catalog, introducing data observability, and implementing a medallion architecture to ensure that data is reliable, accurate, and accessible. The ideal candidate will be a seasoned data engineer with a strong passion for working with large datasets and a keen interest in making a meaningful impact on the company's decision-making process.

Mozilla's mission is to make the internet better for people, and this role is a crucial part of achieving that goal. By working on cutting-edge projects and collaborating with talented professionals, the successful candidate will have the opportunity to make a real difference in the way people experience the internet.

What You Will Do

  • Build and manage business data pipelines as well as transform Firefox telemetry data into structured high-quality datasets that Mozillians can rely on
  • Partner with data scientists, product, and marketing teams to turn complex datasets into models and metrics that drive Mozilla's decisions
  • Ensure datasets stay accurate and performant by using observability tools to monitor quality and joining a weekly triage rotation to resolve data issues as they arise
  • Partner with other data engineers and platform engineers to improve how we work and evolve our platform
  • Maintain data integrity by ensuring that data governance and privacy policies are implemented and enforced across the organization
  • Collaborate with cross-functional teams to identify and prioritize data needs and develop solutions to meet those needs
  • Develop and maintain technical documentation for data pipelines and architecture
  • Participate in code reviews and ensure that all solutions are thoroughly tested and validated
  • Stay up-to-date with the latest trends and technologies in data engineering and make recommendations for improvement

What We Are Looking For

  • 5+ years of experience in data engineering, with a focus on building and managing large-scale data pipelines
  • Strong skills in programming languages such as Python, Java, or Scala
  • Experience with data processing frameworks such as Apache Beam, Apache Spark, or Apache Flink
  • Knowledge of data storage solutions such as relational databases, NoSQL databases, or data warehouses
  • Experience with data governance and data quality principles
  • Strong understanding of data architecture and data modeling
  • Excellent collaboration and communication skills, with the ability to work with cross-functional teams
  • Experience with agile development methodologies and version control systems such as Git

Nice to Have

  • Experience with cloud-based data platforms such as AWS, GCP, or Azure
  • Knowledge of machine learning or deep learning principles and their application to data engineering
  • Experience with data visualization tools such as Tableau, Power BI, or D3.js
  • Certification in data engineering or a related field

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge projects that make a real impact on people's lives
  • Collaborative and dynamic work environment with a team of talented professionals
  • Flexible working hours and remote work options
  • Professional development opportunities, including training and conference sponsorship
  • Access to the latest technologies and tools
  • A culture that values diversity, equity, and inclusion
  • A comprehensive health and wellness program, including mental health support
  • A generous parental leave policy and family-friendly benefits
  • A 401(k) matching program and other retirement savings options

How to Stand Out

  • Tip: Make sure your resume and cover letter highlight your experience with data engineering, data pipelines, and data quality. Emphasize your ability to work with large datasets and collaborate with cross-functional teams.
  • Tip: Be prepared to discuss your experience with data governance and data quality principles, as well as your understanding of data architecture and data modeling.
  • Tip: Show a passion for working with data and a keen interest in making a meaningful impact on the company's decision-making process. Share examples of times when you've made a significant contribution to a project or organization.
  • Tip: Be ready to talk about your experience with agile development methodologies and version control systems such as Git. Highlight your ability to work collaboratively and communicate effectively with team members.
  • Tip: Consider creating a portfolio of your work, including examples of data pipelines, data models, and data visualizations you've created. This will help demonstrate your skills and experience to potential employers.
  • Tip: Don't be afraid to ask questions during the interview process. This shows that you're interested in the role and willing to learn more about the company and its mission.
  • Tip: Research the company's mission and values, and be prepared to discuss how your own values and goals align with those of the company.

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