Celigo
Analytics Engineer
US
Sponsorship not specifiedDetected 22 days ago
PythonCode ReviewGitSQLSnowflakeCI/CDAirflowdbtData AnalysisData EngineeringStatisticsAccessibilityTest AutomationCollaboration
About the role
- 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.
- Celigo reasonably expects to pay a base salary between $120,000 and $140,000 per year for this position.
Requirements
- Proficiency in communicating technical trade-offs to both analysts and infrastructure engineers.
- 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.
- Celigo is proud to be
- 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
Compensation
- Celigo reasonably expects to pay a base salary between $120,000 and $140,000 per year for this position.
This listing is sourced directly from Celigo's careers page and normalized into a canonical job model.