Data Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Engineer responsible for building data pipelines and configuring customer instances for B2B sales intelligence. Collaborating with Customer Success to deliver data solutions.
Responsibilities:
- Data Ingestion & ETL: Build Python/SQL pipelines to ingest invoices, orders, and catalogs.
- Perform historical backfills via SFTP/API and manage Airflow DAGs.
- Instance Configuration: Set up custom fields, product filtering logic, and sales workflows.
- Manage SSO and user provisioning for new rollouts.
- AI-Augmented Engineering: Leverage AI coding assistants (Copilot, Cursor) and LLMs to accelerate Python/SQL script generation, data mapping, and debugging.
- Customer Communication & Projects: Act as a technical point of contact. Translate complex data issues into clear updates for customers. Own project milestones from kickoff to "Go Live."
- Integration & Automation: Build Workato recipes and connect customer ERPs via APIs/webhooks to ensure real-time data flow.
- QA & Troubleshooting: Triage HubSpot support tickets, debug data discrepancies in large data sets, and deploy production fixes.
- Documentation: Maintain customer data mappings and internal technical runbooks.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
- At least 3 years of experience in data engineering, ETL, or related roles
- Strong SQL skills for data analysis and validation
- Proficiency in Python scripting for data processing
- Familiarity with cloud platforms, preferably GCP (e.g., Cloud Storage, Cloud Functions)
- Understanding of REST APIs, JSON/CSV data formats, and Git workflows
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- **Preferred:**
- Experience with workflow orchestration tools (e.g., Apache Airflow)
- Familiarity with integration platforms (e.g., Workato, Zapier)
- Exposure to CRM tools (e.g., HubSpot, Asana)
- Knowledge of eCommerce or sales data models (e.g., products, orders, opportunities)
Benefits:
- **Competitive Salary:** COP $6,000,000.
- **Stability:** Indefinite contract with all mandatory Colombian legal benefits.
- **Flexibility:** 100% Work From Home (Remote only in Colombia).
- **Growth:** Continuous training, development programs, and clear opportunities for professional advancement.
- **Culture:** A collaborative, supportive, and diverse international team environment.
Similar Jobs
Data Engineer Manager
Lead Data Engineering Manager at Blend, focused on designing scalable solutions for Journey Analytics. Overseeing data platforms and leading a team of engineers to deliver high-quality datasets.
Data Engineer Manager
Data Engineer Manager leading a team for Journey Analytics initiatives at Blend, an AI services provider. Focus on scalable data solutions and data engineering best practices.
Data Migration Analyst
Data Migration Analyst at NikoHealth overseeing transitions from legacy platforms into SaaS solutions. Ensure data accuracy and provide customer support during the migration process.
Senior Data Engineer – Databricks, AWS
Senior Databricks Data Engineer specializing in AWS cloud-native data solutions. Supporting federal client data platform modernization initiatives with expertise in data pipelines and governance.
Freelance Data Engineer
Data Engineer at Incubeta responsible for designing, building, and maintaining data processing systems to ensure data integrity and optimize pipelines. Mentors junior members and delivers data solutions effectively.
Senior Data Engineer
Senior Data Engineer delivering modern data solutions at Carrier, focused on data pipelines and lakehouse architectures. Collaborating with cross-functional teams to support analytics and reporting.
Lead Product Manager, Data Platform
Lead Product Manager at Alkami driving the data platform strategy for the fintech sector. Collaborate cross-functionally to enhance data products in a remote-first environment.
Data Warehouse Developer
Data Warehouse Developer assisting in the analytics solutions for the University of Wisconsin-Platteville. Collaborating in the design, build, testing, and deployment of data warehousing.
Senior Data Engineer
Senior Data Engineer building resilient data pipelines for Verantos's high-accuracy RWE generation platform. Leading data architecture and collaborating with cross-functional teams in a remote US-based role.
Senior Data Engineer
Senior Data Engineer designing and building streaming pipelines for Simple Life, an AI-powered health coaching app. Collaborate on ingesting and processing data to enhance user experience.
Senior Data Engineer – AI
Senior Data Engineer at Anaplan building AI capabilities and solutions for business decision-making. Working across the full stack of Anaplan AI applications and developing innovative features.
Associate Data Engineer – Artificial Intelligence, AI
Data Engineer at Cotiviti managing data processes and implementations for operational excellence. Involves data analysis, pipeline creation, and troubleshooting in collaboration with Engineering teams.
Data Engineer – AI, Agents, Context – Revenue Cycle (Associate)
Data Engineer developing and maintaining AI/context data capabilities for healthcare innovation. Building data pipelines and collaborating to enhance operational efficiency and clinical outcomes.
Data Engineer – AI, Agents, Context, Clinical – Senior Associate
Data Engineer contributing to healthcare AI context platform at Huron. Implementing data products and ensuring operational excellence in a remote role.
Data Operations Engineer
Data Operations Engineer Associate managing Power BI datasets for healthcare organizations. Designing data models and ensuring data quality to optimize analytics and reporting processes.
Senior Data Engineer, AI & Context Platform, Healthcare Insights, Rev Cycle
Senior Data Engineer focused on AI context platform for healthcare insights. Leading technical delivery in building scalable data capabilities leveraging unstructured data.
Data Architect – Data Governance
Data Architect at Smarthis, focusing on defining efficient data architectures and supporting engineering teams in implementations. Collaborating on data solutions across cloud environments.
Data Engineer, L3
Data Engineer (L3) designing scalable data architecture and robust data pipelines for social marketing. Collaborate in a fintech initiative providing insights on personal finance and growth marketing.
Data Engineer – L2
Data Engineer building and maintaining data pipelines for marketing analytics and support across business teams. Contributing to data ingestion and modelling from various platforms with a focus on Meta Ads.
Data Architect, Information Strategy
Data Architecture & Information Strategy Engineer applying engineering principles and analytical skills at Ford Motor Company. Collaborating on data strategies and improving business processes.