Sr. Data Engineer

Job Description

This job posting has expired and no longer accepting applications.

About Highspot

Highspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd.

While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets.

About The Role

As a Senior 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.

Responsibilities

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.

Required Qualifications

Bachelor’s degree or equivalent experience.

7+ years of experience using SQL in an advanced capacity in query authoring, tuning, and identifying useful abstractions.

5 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.

3+ years of git experience for version control and collaboration.

3+ years of experience working with AWS cloud technology.

3+ years of experience working with workflow management platforms like airflow/dagster

2+ 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.

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