Data Engineer

March 21

Apply Now

Receive Emails with Similar Jobs

HighLevel

WebsiteLinkedInAll Job Openings

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

SaaS • Marketing • Advertising • CRM

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• HighLevel is a cloud-based, all-in-one white-label marketing and sales platform. • We empower marketing agencies, entrepreneurs, and businesses to elevate their digital presence. • We're seeking a talented data engineer to join our team. • Responsible for designing, developing, and maintaining data infrastructure. • This role involves real-time data processing and large-scale event-driven architectures. • Collaborate with cross-functional teams to ensure data reliability and performance. • Work closely with data scientists and software engineers for efficient data flow.

🎯 Requirements

• 3+ years of experience in software development • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows • Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns • Software 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 technologies • Cloud 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 deployment • Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment • Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus