Data Engineer

Celigo, Inc.
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$130,000.0
Working hours
Regular working hours

Tech stack

Sql Data Warehouse Application Programming Interfaces (APIs) Artificial Intelligence Airflow Data Analysis Audit Trail Automation of Tests Mobile Application Development Cloud Computing Cluster Analysis Code Review Cyber Security
+37 more
Databases Continuous Delivery Continuous Integration Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Migration Data Security Data Sharing Data Systems Data Vault Modeling Data Warehousing Cursor (Graphical User Interface Elements) Programming Tools Distributed Computing Environment Electronic Data Interchange (EDI) Github Python (Programming Language) Performance Tuning Systems Development Life Cycle Role-Based Access Control Requirements Management Software Engineering SQL Databases Scripting GitHub Copilot Large Language Models Snowflake Information Technology Data Lineage Star Schema Data Management Dynamic Data Machine Learning Operations Data Pipelines Programming Languages

Job description

Celigo is looking for a Senior Data Engineer to serve as a hands-on architect and steward of our Snowflake-based data ecosystem. You will own the design and delivery of scalable ELT pipelines, production-grade data models, and the observability frameworks that keep them reliable - translating complex business requirements into well-documented, high-performance data solutions that power analytics, BI, and ML across the organization. Partnering closely with Analytics, Product, and Engineering, you will enforce data quality standards, contribute to governance practices, and continuously optimize for cost efficiency and data freshness. You’ll bring deep Snowflake expertise, a modern dbt-native development mindset, and a fluency with AI-assisted tooling to accelerate your own velocity and raise the bar for the team around you.

What would you do if hired?

  • Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling.
  • Architect and implement data models - including dimensional, data vault, and medallion/lakehouse patterns - to support analytics, BI, and ML use cases.
  • Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable, well-documented data solutions.
  • Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines.
  • Contribute to data governance practices, including documentation, data lineage, access control, and compliance standards.
  • Monitor and optimize pipeline performance, compute cost efficiency, and data freshness across the warehouse.
  • Evaluate and implement emerging Snowflake features and data tooling to improve engineering velocity and reduce costs.
  • Leverage AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or equivalent) to accelerate pipeline development, code review, and documentation.
  • Participate in code reviews, architectural discussions, and cross-functional technical planning sessions.

Requirements

  • Deep expertise in Snowflake architecture, including virtual warehouse configuration, clustering, data sharing, role-based access control, and cost governance.
  • Strong command of modern ELT tooling such as dbt, Fivetran, Airflow, or Prefect in a Snowflake-native environment.
  • Hands-on experience integrating AI/ML tools into the development cycle, including AI-assisted coding, automated testing, or LLM-powered data workflows.
  • Proven ability to translate complex business requirements into scalable, well-documented technical solutions.
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical teams., * Degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks.
  • 3+ years working directly with Snowflake in a production capacity.
  • Demonstrated experience in architecting or contributing to at least one full data warehouse migration or rebuild on Snowflake.
  • Advanced proficiency in SQL and at least one programming language (Python preferred).
  • Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions or equivalent).
  • Familiarity with data governance, security, and compliance considerations in a cloud data warehouse context (e.g., column-level security, dynamic data masking, audit logging)., Access Control, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Business Intelligence, Business-to-Business (B2B), Cloud Computing, Code Reviews, Communication Skills, Compensation and Benefits, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Data Clustering, Data Management, Data Migration, Data Modeling, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), Diversity, Documentation, Ecosystems, Electronic Data Interchange (EDI), GitHub, High Reliability, Information/Data Security (InfoSec), Machine Tool, Performance Tuning/Optimization, Process Improvement, Product Engineering, Programming Languages, Programming Tools, Python Programming/Scripting Language, Quality Metrics, Requirements Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Team Player, Test Automation, Use Cases

Benefits & conditions

Celigo reasonably expects to pay a base salary between $100,000 and $130,000 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.

About the company

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.

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