Integration meets Innovation
At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world.
Celigo is looking for an Analytics Engineer to serve as the definitive owner of our business logic and the primary architect of our "Gold" data layer. You will bridge the gap between raw data and executive-level insights by transforming complex datasets into clean, validated, and highly performant tables. By applying software engineering rigors—such as version control, automated testing, and CI/CD—to our workflows, you will ensure our data warehouse remains a trusted "single source of truth." Your mission is to empower the company with the reliable data to drive decisions across Product, Finance, and GTM teams.
What would you do if hired?- Develop and maintain scalable data models using dbt / Coalesce to transform raw data into clean, documented, and production-ready schemas.
- Collaborate with Data Engineering and Data Analytics to ensure technical architecture supports business logic and reporting requirements.
- Implement automated testing, data documentation, and observability frameworks to ensure a "single source of truth."
- Optimize SQL queries and warehouse configurations to improve performance and manage compute costs.
- Maintain version control workflows, CI/CD pipelines, and coding standards across the data team.
- Support the semantic layer and BI data catalogs to enable self-service exploration.
Skills & Abilities
- Strong belief in applying software engineering best practices (testing, versioning, peer review) to data workflows.
- Ability to design modular data models (Star Schema, Kimball) that balance flexibility with system performance.
- Proficiency in communicating technical trade-offs to both analysts and infrastructure engineers.
Education and Experience
- Degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 3+ years of experience in Analytics Engineering, Data Engineering, or a technical Data Analyst role.
- Expert-level proficiency in SQL with a focus on writing efficient, maintainable, and readable code.
- Hands-on experience with dbt / Coalesce and modern cloud data warehouses like Snowflake or BigQuery.
- Familiarity with Git, pull request workflows, and command-line interfaces.
- Experience with Python for data orchestration (e.g., Airflow) or advanced data manipulation.
- Understanding of Fintech or SaaS-specific metrics such as ARR, churn, and financial reconciliation.
Celigo reasonably expects to pay a base salary between $120,000 and $140,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made.
Celigo is proud to be
- A 2025 Gartner Customers’ Choice for iPaaS. The only vendor to receive this award.
- Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year
- Celigo is ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management.
- Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform.
Here you'll experience
- Remote-first culture, built on trust, collaboration, and transparency
- A high-growth, inclusive work environment where innovation thrives and ideas are implemented
- Lightspeed learning opportunities to keep you at the leading edge of your field
- Exceptional coworkers who challenge and inspire you daily
- Competitive compensation and benefits, including:
- Three weeks of vacation (starting year one)
- Wellness days and holidays to recharge
- Parental leave and a generous benefits package
- Monthly tech stipend
- Recognition and career development opportunities
Diversity, Equity, Inclusion, and Accessibility
As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigans, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand.
Celigo is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Skills Required
- Degree in Computer Science, Mathematics, Statistics, or related quantitative field.
- 3+ years of experience in Analytics Engineering, Data Engineering, or technical Data Analyst role.
- Expert-level proficiency in SQL, writing efficient and maintainable code.
- Hands-on experience with dbt or Coalesce for data modeling and transformations.
- Experience with modern cloud data warehouses such as Snowflake or BigQuery.
- Familiarity with Git, pull request workflows, and command-line interfaces.
- Experience applying software engineering best practices (testing, versioning, peer review) to data workflows.
- Ability to design modular data models (Star Schema, Kimball) balancing flexibility and performance.
- Ability to communicate technical trade-offs to analysts and infrastructure engineers.
- Experience implementing automated testing, data documentation, and observability frameworks.
- Experience with Python for data orchestration or advanced manipulation.
- Understanding of Fintech or SaaS-specific metrics (ARR, churn, financial reconciliation).
What We Do
Celigo allows IT and line-of-business teams to automate business processes, enabling the entire organization to be more agile and accelerate business growth. Through a powerful yet approachable user experience, and by leveraging AI, Celigo allows IT and non-IT users to build custom integrations, mappings, and embedded business logic to automate and optimize any business process. Powered by our unique Integration Application Framework, only Celigo delivers managed prebuilt integration applications that include embedded business logic to automate up to 100% of a business process. The Celigo Platform allows IT to enable business teams to build, manage, and monitor the business process they own while ensuring unified best practices, data security, and scalability to meet the needs of the business today and in the future. Coming off the heels of a Series-C funding round. Celigo is in hypergrowth mode with over 675 employees internationally. It's an exciting time for the iPaaS industry and we are leading the way.
Why Work With Us
Celigo's six Core Values are guiding principles that shape our culture; Excellence comes from each of us, We win when our customers win, Honesty and integrity matter, Ask “How can it be better?, A place to be our authentic selves, We own our results. Globally all of our employees and leaders embody these values to create an authentic community.
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