Job Description
About HighLevel:
HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.
Our Website - https://www.gohighlevel.com/
YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g
Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/
Our Customers:
HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.
Scale at HighLevel:
We operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.
About the Role:
We are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.
Responsibilities:
Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patternsDesign, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architecturesData Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sourcesData Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance queryingData Integration: Work with APIs, batch and streaming data sources to ingest and transform dataPerformance Optimization: Optimize queries, indexing and partitioning for efficient data retrievalCollaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutionsMonitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliablyOwnership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address themRequirements:
3+ years of experience in software developmentEducation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldStrong Problem-Solving Skills: Ability to debug and optimize data processing workflowsProgramming Fundamentals: Solid understanding of data structures, algorithms, and software design patternsSoftware Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologiesCloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deploymentCommunication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environmentExperience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus
