Job Description

About the role

We’re looking for a Senior Data Engineer to join JumpCloud’s Data Enablement team. Data Enablements Vision is for data to drive JumpCloud and our Customers. The current mission the team is on is to put in place foundational technology and process to uplevel the data capabilities of our Product and our Data Warehouse/Lakehouse.

We are introducing an Event Based Architecture, developing and refining a data model that supports JumpCloud’s growth strategy and modernizing our Data Warehouse. A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling data engineering problems that most other people cannot solve, as well as shaping the future capabilities of JumpCloud’s data engineering, performance reporting and data governance.

Come be a part of an exciting new team where you will be able to work on challenging projects, rich data sets, and develop valuable skills. This role involves frequent engagement with analytics partners, data/platform engineering and product engineering to mature our data model, pipelines and data practices. The role will report to the Senior Manager of Data.

This is a senior level position.

What you'll be doing:

As part of the Data Enablement team, and as part of the engineering organization as a whole here at JumpCloud, you will be responsible for providing critical data infrastructure and systems for multiple areas of the business, including Business Analysis, Product Development, Engineering, Finance, Sales and Executive Strategy

On a day-to-day basis, as a senior level data engineer, you may be asked to:

Interface with stakeholders to define needs and develop strategies for providing data

Integrate Technologies such as Airflow, Python, and Kafka

Plan, build, and maintain data pipelines from internal and external data sources

Implement data observability and monitoring in the pipeline and in the warehouse

Work with appropriate teams to ensure data security and data compliance

Guide data analysts to ensure clean delivery of data

You will work with other senior level engineers and architects with the goal to achieve top level proficiency in core data engineering skills and business functions

You have:

Extensive hands-on experience with building scalable data solutions with complex fast moving data sets

Can lead the technology on small to large sized projects from start to finish

Strong experience with Cloud Data Warehouses and Data Lake architectures and implementations

Proven proficiency in data modeling and database design, with an emphasis towards designing optimized self service data solutions.

Experience with both batch and streaming data pipelines and ELT processes

Ability to work and communicate effectively with other engineers, and both technical and non-technical business stakeholders

Ability to quickly integrate new technologies and industry best practices into your skill sets

Expert level SQL skills

Proficiency with the Python programming tools and ecosystem, while incorporating strong software engineering techniques

Experience working with some of these: message brokers, data sync/mirroring tools, stream and batch processors, data orchestrators and workflow engines

Nice to haves:

Python3 and golang Software Development, following general software engineering principles

SQL for data transformation and analysis, with optimization and tuning in mind

Snowflake data warehouses (or equivalent)

Dremio data lakehouses

Apache Airflow

Apache Kafka (and it’s supporting tools)

Experience of building stream and batch processing big data systems

Experience building observable data systems

Experience with basic data modeling and data architecture

Experience with cloud data storage techniques

Familiarity with data storage formats, such as JSON/Avro/Protobuf/Parquet/Iceberg

Can work effectively both independently and as part of the data engineering team as a whole

Experience with Data Governance, including data contracts and schema management

Experience with Data Security standards including RBAC and sensitive data handling

Attentive

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