Position:
Senior BI Engineer
Location:
India (Remote)
Level:
P3
Schedule:
2PM – 11 PM IST
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Who You Are
As a BI Engineer, you are a detail-oriented problem solver with a passion for turning complex data into actionable insights. You have a deep understanding of data structures, business requirements, and reporting needs, enabling you to design and implement scalable data solutions. Your technical expertise spans data warehousing, pipeline development, and visualization tools, allowing you to empower stakeholders with reliable and efficient data-driven decisions. You thrive in a collaborative environment, take ownership of data governance, and are proactive in identifying opportunities for process automation and optimization.
Key Attributes
- Proficient in tools like Redshift, Snowflake, and SQL, with experience in Python and data pipeline development.
- Analytical mindset with a knack for data modelling and reporting automation especially for analytics platforms like Tableau, Superset, PBI etc.
- Experience is sprint methodology including sprint planning, execution, tracking etc.
- Strong communicator who bridges the gap between technical data structures and business needs.
- Committed to ensuring data accuracy, sanctity, and usability across the organization.
What You’ll Be Doing:
Data Mastery and Preparation:
- Design and manage scalable, high-performance data pipelines and data warehouse tables.
- Develop and optimize moderately to highly complex data processing jobs using SQL, Mozart, Snowflake, and Python.
- Lead data cleansing efforts to ensure reporting readiness and data integrity.
Data Modelling and Governance:
- Define and implement efficient data models to support regular and ad-hoc reporting needs.
- Test and validate data rigorously to ensure accuracy and reliability.
- Own and promote data cataloging and governance initiatives for secure, democratized data access.
Actionable Insights and Stakeholder Empowerment:
- Analyze and visualize data to deliver actionable recommendations tailored to stakeholder requirements.
- Create and distribute reports and dashboards on a scheduled and ad-hoc basis.
- Provide training to end users, enabling self-serve analytics and empowering them to make data-driven decisions.
- Utilize your strong command of SQL to think through how to: (a) translate business requirements into informed design decisions, and (b) build your own Tableau dashboards, when needed.
Continuous Improvement:
- Collaborate with various pods to interpret business requirements and adapt data solutions accordingly.
- Identify opportunities to streamline and automate reporting processes for efficiency and scalability.
- By joining our team, you will play a pivotal role in transforming raw data into meaningful insights, driving business success across the organization.
What You’ll Bring:
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Experience/Education/Certifications Required:
- Minimum 5 years of experience in business intelligence, data engineering, analytics, or a related field.
- Advanced SQL expertise with experience handling complex queries and data transformations.
- Strong knowledge of engineering and operations best practices, including version control, data quality assurance, testing, and monitoring.
- Data modeling expertise with experience in ETL, Data Warehousing, and Data Lakes.
- Data visualization skills using Tableau to create compelling dashboards and reports.
- Programming proficiency in one or more languages (e.g., Python, Java) for data processing and analysis.
- Basic knowledge of statistical measures and techniques.
- Exceptional communication and collaboration skills, with the ability to communicate complex technical information to less technically sophisticated stakeholders and data professionals.
EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
