Senior Business Intelligence Engineer

Hyperproof; United States; Remote; USD 140,000 - 160,000; Full time

Job summary

Join an innovative firm that is transforming the Governance, Risk, and Compliance landscape with a powerful software platform. As a Senior Business Intelligence Engineer, you will leverage your expertise in data engineering and BI tools to build scalable data architectures and insightful dashboards. Collaborate with cross-functional teams to drive data-driven decisions and empower stakeholders with actionable insights. This is an exciting opportunity to make a significant impact in a fast-paced environment while enjoying a comprehensive benefits package that supports your work-life balance and professional growth.

Benefits

Unlimited PTO

Health coverage for medical, dental, and vision

401K with 4% company match

$500 home office stipend

$100 quarterly wellness stipend

Pet insurance discount

Annual company events

Two company-wide rest weeks

Qualifications

• 5+ years of experience in business intelligence engineering or data engineering.
• Expert-level proficiency in SQL for querying large datasets.
• Experience with modern data stack ELT tools.

Responsibilities

• Design and optimize scalable ETL pipelines for data loading.
• Develop and maintain complex data models for analytics.
• Collaborate with teams to translate business requirements into data solutions.

Skills

Data Engineering

SQL

Business Intelligence

Data Modeling

Analytical Skills

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Sigma

dbt

Airbyte

Prefect

Job description

At Hyperproof, we are on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful software platform. By empowering organizations to save time and money, Hyperproof is driving the future of effective, accountable GRC. With our recent Series B funding, we are accelerating our growth and looking for talented individuals to help us scale our platform and build innovative solutions.

About You

As a Senior Business Intelligence Engineer, you are passionate about data and possess deep technical expertise in data engineering, specifically with Snowflake and modern data stack technologies. You thrive in creating data pipelines, designing robust data models, and optimizing data workflows to enable meaningful insights for key decision-makers.

You are a natural problem solver with experience in data management and business intelligence. You have a strong background in developing reporting and dashboard solutions. Your expertise in leveraging BI tools, particularly Sigma, enables you to create intuitive and interactive dashboards that provide actionable insights to support business growth. With your skills in Sigma, you can produce clear visualizations, define key performance indicators, and empower stakeholders with self-service data exploration capabilities.

You are comfortable working in fast-paced environments and have a proven ability to collaborate with cross-functional teams to drive data-driven decisions. Your ability to communicate technical concepts effectively enables you to partner closely with business stakeholders to understand their needs and translate those requirements into impactful data solutions.

What You’ll Do

In this role, you will play a critical part in building and maintaining scalable, high-performance data architecture for our business intelligence needs. You will work closely with business stakeholders to build data models, optimize querying performance, and enable fast, efficient reporting.

Responsibilities

• Data Pipeline Development: Design, build, and optimize scalable ETL pipelines to load data into Snowflake from a variety of data sources (we use Airbyte, dbt Prefect, and Snowflake).
• Data Architecture & Modeling: Develop and maintain complex data models using dbt to support business intelligence and analytics needs across the company.
• Performance Optimization: Create tools to ensure the data architecture is performant, scalable, and cost-effective.
• Data Warehousing: Manage and maintain the Hyperproof data warehouse, ensuring that data is organized efficiently and is easily accessible for analysis and reporting.
• Collaboration: Work closely with cross-functional teams, including developers, data analysts, and product managers, to understand business requirements and develop data solutions to meet those needs.
• Data Quality & Integrity: Ensure data accuracy, consistency, and reliability through rigorous validation and quality assurance practices.
• Dashboard Creation: Develop and maintain dashboards in Sigma to support the reporting needs of teams across the business.
• Mentorship: Provide mentorship to junior team members, sharing best practices and fostering a culture of continuous improvement.
• Automation & Monitoring: Implement automated testing and monitoring of data pipelines to ensure their reliability and scalability.
• Technical Documentation: Document technical solutions, data models, and best practices to ensure knowledge sharing and continuity.

What You’ll Bring

• Experience: 5+ years of hands-on experience in business intelligence engineering, data engineering, or related fields with a strong focus on Snowflake and data warehousing technologies.
• Advanced SQL Skills: Expert-level proficiency in SQL for querying large datasets and optimizing performance.
• Data Warehousing Expertise: Strong experience designing, building, and maintaining data warehouses, particularly in dbt and Snowflake, including understanding of star/snowflake schemas, normalization/denormalization, and data partitioning.
• ETL/ELT Development: Experience with modern data stack ELT tools (e.g., dbt, Airbyte, Fivetran, Airflow, Prefect) to create and manage data pipelines.
• Cloud Technologies: Strong knowledge of cloud-based data platforms and services, particularly within AWS, Azure, or GCP.
• Data Modeling: Experience with data modeling, creating effective data structures that support efficient querying and reporting.
• Analytical Skills: Strong problem-solving abilities, with the ability to analyze complex datasets and translate them into actionable insights.
• Business Intelligence: Experience using modern business intelligence tools (e.g., Sigma, Power BI, Tableau, Looker) to create data reporting solutions for both technical and non-technical users.
• Scripting: Familiarity with scripting languages (e.g., Python, Bash) to automate workflows or perform complex data transformations.
• Collaboration: Experience working in a collaborative, cross-functional environment, providing technical expertise and ensuring alignment with business requirements.
• Data Governance & Compliance: Understanding of data governance best practices, including security, privacy, and compliance standards.

Bonus

• Familiarity with the data tools we use: dbt, Airbyte, Prefect, Snowflake, Sigma.
• Experience administrating self-hosted data architecture using tools like Kubernetes, Docker, and Azure DevOps.
• Knowledge of advanced statistical methods or machine learning techniques for data analysis.

Application Process

We value your time and want you to know what to expect from us during the interview process:

• An initial 20-30 minute chat with a recruiter.
• A technical assessment (approximately 60 minutes).
• Three 60-minute 1:1 interview sessions with our team members.
• Interview with the Hiring manager.

Join Us

If you’re ready to take your career to the next level and help shape the future of governance, risk, and compliance, we encourage you to apply now! Let’s build something amazing together at Hyperproof.

The full compensation package is based on candidate experience and certifications.

Remote USA

$140,000—$160,000 USD

WHERE YOU’LL GO

• Hyperproof also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us.

What We Offer To Our Employees

Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ

• Annual compensation reviews + equity
• Unlimited PTO: strongly encouraged to unplug and recharge
• Health: coverage for medical, dental, and vision - employee and dependents
• 401K, which vests immediately, complete with a 4% company match
• 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
• Annual company in-person events and quarterly in-person connects
• $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
• $100 quarterly paid wellness stipend
• Pet insurance discount
• Slack channel notifications turn off after 5 pm based on your time zone
• Two Hypercharge weeks of rest where we close company-wide (July & Dec)

It’s an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space.

At Hyperproof’s core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets.

We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don’t happen.

Learn more about the @hyperproof culture and how it all started.

EQUAL OPPORTUNITY EMPLOYER

Hyperproof is committed to a diverse and inclusive workplace — it’s one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.