Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
About the role
- Senior Data Engineer responsible for managing full data lifecycle with focus on innovation at Enroute. Engaging in challenges and contributing to a happy workplace culture.
Responsibilities
- We love technology, and we enjoy what we do.
- We are always looking for innovation.
- We have social awareness and try to improve it daily.
- We make things happen.
- You can trust us.
- Our Enrouters are always up for a challenge.
- We ask questions, and we love to learn.
- We pride ourselves on having great benefits and compensations.
- We care about who you are in the office and as an individual.
- We want every Enrouter to become part of a great community of highly driven, responsible, respectful, and happy people.
Requirements
- 5+ years of professional experience in a dedicated Data Engineering role, with significant experience managing the full data lifecycle.
- Expert-level proficiency in SQL and experience working with large-scale relational and non-relational databases.
- Deep hands-on experience with a major cloud data warehouse platform (e.g., Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse Analytics).
- Solid experience developing and maintaining production-grade ETL/ELT pipelines using tools like Apache Airflow, Apache NiFi, Talend, Informatica, or AWS Glue
- Experience using Python for data manipulation (e.g., Pandas, PySpark).
- Solid understanding and use of reporting tools like Power BI, Cognos, Tableau, Looker, BusinessObjects, or Oracle BI
- Familiarity with data governance concepts (e.g., metadata management, data lineage) and implementing security best practices.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience with real-time/streaming data processing technologies (e.g., Apache Kafka, Kinesis, Spark Streaming).
- Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- A background in data science tooling or supporting machine learning pipelines.
- Experience in DevOps practices for data infrastructure (CI/CD, monitoring, logging).
Benefits
- Monetary compensation
- Year-end Bonus
- IMSS, AFORE, INFONAVIT
- Major Medical Expenses Insurance
- Minor Medical Expenses Insurance
- Life Insurance
- Funeral Expenses Insurance
- Preferential rates for car insurance
- TDU Membership
- Holidays and Vacations
- Sick days
- Bereavement days
- Civil Marriage days
- Maternity & Paternity leave
- English and Spanish classes
- Performance Management Framework
- Certifications
- TALISIS Agreement: Discounts at ADVENIO, Harmon Hall, U-ERRE, UNID
- Taquitos Rewards
- Amazon Gift Card on your Birthday
- Work-from-home Bonus
- Laptop Policy
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.