Description
We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive 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, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it.
At Enroute, we are looking for a
Senior Data Engineer
to join a growing Data team responsible for designing, building, and evolving scalable data platforms and cloud-native pipelines that support business intelligence, analytics, and operational workloads.
The ideal candidate is highly hands-on with
Python, Spark/PySpark, Snowflake, and cloud-based data architectures
, with strong experience building reliable, production-grade ETL/ELT pipelines and modern data warehousing solutions.
This role is adecuado for someone who enjoys solving complex data challenges, optimizing performance at scale, and collaborating closely with data scientists, analysts, and engineering teams.
Requirements
✅ Must-Have Requirements
Core Data Engineering
5+ years of professional experience
in Data Engineering or related fields
Strong experience designing and maintaining
scalable data pipelines
Deep understanding of
ETL / ELT best practices
Strong experience with
large-scale data processing architectures
Proven experience with
batch data processing
Strong experience with
data warehousing concepts
Programming & Data Processing
Advanced
Python
Strong hands-on experience with
Apache Spark / PySpark
Advanced
SQL
(complex queries, optimization, transformations)
Strong experience processing
large structured and unstructured datasets
Cloud & Infrastructure
Hands-on experience with
AWS or Azure
Experience building
cloud-native data solutions
Experience with
Docker
Experience with
CI/CD pipelines
Strong knowledge of
Git / version control
Data Orchestration
Strong hands-on experience with
Apache Airflow
Experience designing
workflow orchestration pipelines
Scheduling, monitoring, and failure recovery strategies
Critical Must-Have
Strong expertise in Snowflake (MUST HAVE)
Snowflake data warehouse
design
Snowflake
development
Query and warehouse
optimization
Performance tuning and
cost efficiency
Cloud data warehouse architecture best practices
? Responsibilities
Design, build, and maintain
scalable, reliable, and high-performance data pipelines
Develop end-to-end
ETL / ELT workflows
Process large-scale datasets using
Spark / PySpark
Build and orchestrate cloud-native pipelines in
AWS and/or Azure
Design and optimize
Snowflake data warehouse solutions
Ensure
performance, scalability, governance, and cost optimization
Write and optimize
advanced SQL queries
Collaborate with
Data Scientists, Analysts, and Software Engineers
Translate business requirements into
production-ready data solutions
Ensure
data consistency, availability, and quality
Implement
CI/CD, Git workflows, and Dockerized deployments
Improve reliability and observability of data platforms
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
Equal employment
Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
📌 Senior Data Engineer | Snowflake | Pyspark | Aws (Xico)
🏢 En Route
📍 Xico