About Highspot

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

About the Data & Services Engineering (DSE) Team

The Data & Services Engineering (DSE) Team is on the mission of building innovative solutions to drive growth and adoption of the Highspot platform, drive operational efficiency to scale our customer services organization, generate impactful analytics insights we can share with customers and industry, integrate & share curated data from our data warehouse to empower data-driven decision making across the organization.

About The Role

As a Data Engineer, you will be responsible for the end-to-end data pipeline, ensuring the reliability, efficiency, and scalability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to develop robust data solutions that empower data-driven decision-making.

What You'll Do

Create optimal data pipeline architecture
Develop, and maintain end-to-end scalable data infrastructure and pipelines.
Identify, design, and implement process improvements, automating manual processes and optimizing data delivery.
Assist internal stakeholders with data-related technical issues and support their data infrastructure needs.
Develop data tools for analytics and data scientists, contributing to product innovation.
Collaborate with data and analytics experts to enhance functionality in data systems.
Design and implement data models, ensuring integrity and consistency.
Identify and resolve performance bottlenecks, optimizing queries and processing.
Implement data governance best practices for quality, security, and compliance.
Stay informed about emerging technologies, contribute to tool selection, and enhance data infrastructure.
Create and maintain comprehensive documentation for data engineering processes and workflows.
Drive the team's data strategy, technical roadmap, and data storage solutions.
Empower the team for self-servicing and efficient troubleshooting.

Your Background

Bachelor’s degree or equivalent experience.
3+ years experience in product engineering industry.
2+ years of experience using SQL in an advanced capacity in query authoring, tuning, and identifying useful abstractions.
3 years of hands-on experience in Python, demonstrating proficiency in data wrangling and object-oriented programming
Expertise in designing, creating, managing, and utilizing large datasets.
Ability to build efficient, flexible, extensible, and scalable ETL and reporting solutions.
Root cause analysis experience on internal and external data and processes.
Cloud-based database platforms experience, preferably Snowflake.
2+ years of git experience for version control and collaboration.
2+ years of experience working with AWS cloud technology.
2+ years of experience working with workflow management platforms like airflow/dagster
1+ years experience using Tableau to build impactful reports and dashboards
Experience working with dbt is a plus
Strong analytical and problem-solving skills.
Cross-functional team collaboration experience in a dynamic environment.
Proven track record of navigating ambiguity, prioritizing needs, and solving impactful business problems.
Excellent written and verbal communication skills for technical and non-technical audiences.
Empathy-driven, supporting team success.
Remote work experience with a U.S.-based team is preferred.

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Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.

Data Engineer

What You'll Do

Your Background

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