Sr. Data Engineer, Analytics

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 Role

Highspot’s Data Platform crew lies under the Data & Analytics pillar, aspires to build the central repository for all data at Highspot, handling the collection, cleansing, transformation, and application of data to generate various business insights with low-latency and reliability. We’re very proud of our customer loyalty and our rapid growth, which needs a scalable and low-latency big data platform to support all data use cases.

We’re looking for a Senior Data Engineer who will bring creativity and experience to bear as they work collaboratively with a talented team on those opportunities and challenges.

Some of the tools we use to build Highspot include Kafka, Spark, Flink, Java, Clojure, Hadoop, Ruby, MongoDB, PostgreSQL, Snowflake, and Kubernetes (but we don’t expect you to be expert in all of those).

• Design, develop, and maintain an efficient, reliable and scalable big data platform and ETL (batch & streaming) to process high-throughput and fast-growing data.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and revolutionizing ETL tools.
• Work closely with PM to design efficient models of large, complex datasets that meet functional / non-functional business requirements.
• Make data discoverable and accessible for Business Customers, Data Scientists and Analysts across the company.
• Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability.

• 5+ years of experience in cloud computing, big data platforms / tools, and large-scale distributed systems.
• Proficient in programming with one of the common languages: Java, Clojure, Python, etc
• Proficient in Kafka, Flink, Debezium, or Snowflake will be plus
• Experience with general software development and testing tools.
• Experience building data streaming pipelines, as well as big data infrastructure in general.
• Experience with performance analysis and improvement in distributed systems.
• Programming experience using SQL, generating data analytics, and developing business insights.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience with data visualization tools and software libraries.
• An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals.
• Comfortable with modern open source technologies and tools.
• Passion to learn new technologies and infrastructure.
• B.S./M.S in Computer Science or equivalent industry experience.

Base salary range: $166,000 - $272,000. Employees are eligible to receive stock options and may also receive other forms of compensation.

The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.

Highspot also offers the following employee benefits for this position:

-Comprehensive medical, dental, vision, disability, and life benefits

-Health Savings Account (HSA) with employer contribution

-401(k) Matching with immediate vesting on employer match

-Flexible PTO

-8 paid holidays and 5 paid days for Annual Holiday Week

-Quarterly Recharge Fridays (paid days off for mental health recharge)

-18 weeks paid parental leave

-Access to Coaches and Therapists through Modern Health

-2 volunteer days per year

-Commuting benefits 

#LI-NT1

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.