From our products to our team members, Neo4j is centered around relationships.

We hire candidates who are fundamentally wired to connect – whether that's a business opportunity, an innovative customer solution, or a feat of data engineering. 

We're looking for a talented person to join the Neo4j team and help us further the Neo4j vision to help the world make sense of data.

Neo4j is the clear leader in the rapidly emerging graph database category.

Our internet-scale graph platform helps companies around the world connect data to reveal invisible contexts and hidden relationships that drive breakthrough applications and analytics.

As the #1 platform for connected data, Neo4j has over fifty million downloads, the world’s largest graph developer community, and thousands of graph-powered applications in production.

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

#-LIRemote

Responsibilities

•  Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

•  Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role.

The candidate should also have experience with the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with GCP cloud services: Bigquery, Stackdriver, Datastore
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with Visualization Tools (Tableau, Metabase, etc)
• Experience with object-oriented/object function languages: Python, Java, C++, Scala, etc.

#LI-Remote

Why Join Neo4j?  

At Neo4j, you get the opportunity to build and lead on the edge of what's new in the world of technology. 

You have the opportunity to work alongside diverse and talented colleagues from around the globe. Our engineering headquarters are located in Malmö, Sweden and London, UK.

We Value Relationships

We Focus on User Success

We Thrive in a Culture That Is Open and Inclusive

We Assume Positive Intent

We Welcome Intellectually Honest Discussions

We Deliver on Our Commitments 

Intrigued by this role? We encourage you to apply even if you don't fit 100% of the listed qualifications. Neo4j is an equal opportunity employer and is committed to protecting and respecting your privacy. Please read the Privacy Notice Regarding Neo4j's Recruitment Process to understand how the personal data that you provide is handled.