Senior Data Engineer

Description

Job Overview

• Source: Jobicy

Job Description

Location: Remote - MX

ABOUT THE COMPANY:

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY:

At Clari + Salesloft, our Data Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Data & Analytics (D&A) team, helping build and maintain the data infrastructure that powers all of our internal reporting and analytics for multiple business teams. As a team, we are actively implementing the latest AI features and cutting-edge technologies to drive business insights.

On a day-to-day basis, you will be responsible for architecting and delivering end-to-end data pipelines to support internal stakeholders. Specifically, you will:

• Design, build, and maintain scalable data pipelines and services for analytics and business intelligence.
• Develop data flows and applications for machine learning, analytics, and third-party data integrations.
• Collaborate with data scientists and analysts to deploy models and analytical solutions.
• Perform heads-down development, test your code, review peer code, and ship it to production.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to build and enhance the data infrastructure that provides critical insights to business leaders, directly impacting strategic decisions across the company. You will have an opportunity to make a difference.

WHAT WE’RE LOOKING FOR:

We are seeking a results-oriented and innovative Data Engineer who is passionate about building scalable data solutions that empower internal teams. You will play a pivotal role in developing the infrastructure that powers our internal reporting and analytics initiatives, and you should be excited about working with the latest in AI and data technology. We're looking for someone with a deep understanding of data architecture, a commitment to quality, and a collaborative spirit to support business stakeholders.

If you’re looking for an opportunity to learn more, do more, and become more, then becoming a Data Engineer is the career path for you!

THE TEAM:

Our Clari + Salesloft Data & Analytics team is comprised of seasoned and up-and-coming data professionals​​ who are all aligned on one vision and mission:

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales 

The Data & Analytics team consists of a group of curious, collaborative, and technically-driven individuals dedicated to empowering the business with data. The engineers and analysts on our team share a few common traits: they are passionate about turning data into actionable insights, thrive on solving complex problems, and are committed to leveraging cutting-edge technology to answer critical business questions.

THE SKILL SET:

Core Qualifications

• Strong SQL skills and experience with Snowflake core features, focusing on performance optimization and efficient data warehousing practices.
• Proven ability to build scalable, tested transformation layers using DBT.
• Experience managing data pipelines with Airflow and ingestion tools such as Fivetran or Estuary.
• Comfortable working with AI-assisted development tools such as Snowflake Cortex, Gemini Enterprise, or GitHub Copilot.
• Strong Git workflow experience in Agile environments (Jira).
• Bachelor’s degree in Computer Science or a related technical field.

Nice-to-Have

• Experience with BI/analytics tools and supporting reporting workflows.
• Experience working with Salesforce or other CRM data, particularly in SaaS environments.
• Familiarity with AWS or GCP, REST APIs (Postman), or Databricks.
• Exposure to Machine Learning, AI, or Data Science frameworks.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

#LI-Remote

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.