Analytics Engineer

Celigo; United States; On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Three weeks of vacation

Wellness days

Parental leave

Monthly tech stipend

Career development opportunities

Job summary

Celigo is hiring an Analytics Engineer to own our business logic and architect the Gold data layer. You will transform complex datasets into clean, validated tables, ensuring our data warehouse serves as a reliable source of truth.

We seek a professional with a degree in a quantitative field and 3+ years of experience, strong SQL skills, and familiarity with dbt and cloud data warehouses. Enjoy a remote-first culture and competitive compensation with benefits.

Qualifications

• 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.

Responsibilities

• Develop and maintain scalable data models using dbt / Coalesce to transform raw data into clean schemas.
• Collaborate to ensure technical architecture supports business logic and reporting requirements.
• Implement automated testing, data documentation, and observability frameworks.

Skills

Software engineering best practices

Modular data modeling

SQL proficiency

Education

Degree in Computer Science, Mathematics, Statistics or related field

Tools

dbt

Snowflake

Git

Job description

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.

Analytics Engineer

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.

Responsibilities

• 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.

Nice to Have

• 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.

Compensation

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.

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 Celigo employees, 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.