Your opportunity

Help build Data applications that power the Growth, GTM, Product, Enterprise and Sales teams at NewRelic. We seek a Senior Data Engineer who is passionate about building data products that will enable the entire company to consume actionable insights.

We are a fast-growing Data Engineering & Technology team building an “internal-facing data product” with a bold, ambitious vision to build the core data foundation needed to run a successful consumption business! We build core data products, promote data-driven culture, democratize insights through self-service, and establish a single source of truth in business and customer metrics.

Opportunity to work from a remote office may be available depending on applicant location.

What youll do

• Build an end to end data engineering pipeline (data ingestion, transformation, and data modeling), both batch and real-time streaming and distributed processing back-ends
• Incorporate best practices in the data pipelines for high performance, fault tolerance, monitoring, and alerting data quality checks.
• Work on Data Warehouse system architecture and ingesting/pipelining of data, and tools to automate and orchestrate in delivering performance, reliability and operational efficiency
• Work closely with Analytic Engineers and Data Analysts for the collection/analysis of raw data for models that empower end users.
• Build and scale our warehouse platform for data ingest, logging, search, aggregation, viewing, and analysis
• Routinely write efficient, legible, and well-commented Python
• Clear interpersonal skills to deliver on complex, technical topic
• Apply principles of SDLC in data engineering workflows (CICD, testing, code reusability, monitoring & alerting)
• Work closely with upstream data teams to define and implement best practices in data instrumentation
  

This role requires

• Bachelor’s degree or equivalent in computer science, information systems, or combination of education and related experience required
• 4+ years of professional experience working and developing using Python
• 4+ years of professional experience working with Python scripting experience (Unix, bash, python)
• Strong in writing complex SQL queries
• Minimum 3 years of experience with cloud data warehouses (Redshift, Snowflake, etc.)
• Attention to detail and consistency of implementation
• Experience with modern data technologies
  

Bonus points if you have

• Knowledge/Experience working with Kubernetes
• Experience with automation and orchestration tools
  

Were looking for bold and passionate people to be a part of our mission to help every engineer do their best work, every day, using data, not opinions, at every stage of the software lifecycle. Wed love to have you apply, even if you dont feel you meet every single requirement. Whats most important to us is finding authentic and accountable people who feel connected to our mission and values, not just candidates who check off all the boxes.

We believe in empowering all Relics to achieve professional and business success through a workforce model called Flex First. Flex First allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Read more about Flex First.

Our hiring process

Please note that visa sponsorship is not available for this position.

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic is an equal opportunity employer. We eagerly seek applicants of diverse background and hire without regard to race, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities (or disability), age, sexual orientation, veteran status, or any other characteristic protected by law.

Interested in the details of our privacy policy? Read more here.