20 publicaciones de empleo destacadas de data analyst engineer en ciudad de méxico, dif (¡Están contratando!)

Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
5d
Manager, Data Governance
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Licenciatura
- Seguro de vida
1d
Payroll Analyst
Gates Corporation —Ciudad de México, CDMX
- Microsoft Excel
- Oracle
- ERP systems
5d
Sr. Financial Analyst, MX Marketing and Prime Finance
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Access
- Oracle
- Inglés
Principal Analyst, Microsoft 365 Platform Strategy & Architecture
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Seguro dental
- Seguro de la vista
17h
OTA Automotive test analyst
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Inglés
- Disponible para viajar
- Python
8d
Product Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Gestión de productos
- Seguro de vida
14d
Security Analyst
Thales —Federal, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Python
4d
Network Design & Speed PM II, Fulfillment Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- SQL
5d
Software Engineer II with Accounting Experience (Mexico)
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Customer Service Analyst - Billing
BUNGE —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Servicio al cliente
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Cost Estimation Engineer
Axented —Ciudad de México, CDMX
- $35,000 a $55,000 por mes
- Tiempo completo
- Microsoft Excel
- Administración de personal
- ERP systems
Postulación rápida
Senior Product Analytics Analyst
Mindbody —Ciudad de México, CDMX
- Home Office (Desde casa)
- SQL
- Python
Postulación rápida
8d
Software Engineer MTS
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Experiencia en ventas
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Senior Analyst, Microsoft 365 Platform Engineering
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- DevOps
- SharePoint
- Seguro dental
- Seguro de la vista
17h
Software Development Senior Analyst
NTT Ltd —Ciudad de México, CDMX
- Azure
- Oracle
- SQL
5d
Scrum Master
UST —Ciudad de México, CDMX
- Microsoft Powerpoint
- Azure
- Administración de personal
- Seguro de vida
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748
Xideral —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida

Quiero recibir la alerta de empleo más reciente para data analyst engineer en ciudad de méxico, dif

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Data Engineer - CORO Products

Bain & Co. -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 5 días

Cualificaciones

Modelado de datos
Azure
Rust
Go
Ingeniería de software
Kubernetes
Tooling
Spark
Inglés
Google Cloud Platform
SQL
Pandas
Docker
Licenciatura
Scala
Kafka
Redshift
Flask
TypeScript
Python

Descripción completa del empleo

CVs must be submitted in English to be considered

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on [1] Glassdoor's Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU'LL WORK WITH

Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions.

Within this broader team, you'll be embedded in [2] Coro, Bain's proprietary B2B go-to-market software suite. Coro delivers AI-accelerated data, analytics, and GTM tools — including MoneyMap, ProfitCube, Partner Sonar, and Coro Assist — that help revenue organizations identify opportunities, align commercial teams, and drive profitable growth at scale.

WHERE YOU'LL FIT WITHIN THE TEAM

As a Data Engineer, you'll be at the core of Coro's data platform, writing production Python that moves, transforms, and serves data across the business. This is a software engineering role: the work is designing, coding, testing, and operating Python services, libraries, and pipelines — not configuring tools or hand-writing queries. You will build systems that are readable, tested, observable, and cheap to change, working with analytics, engineering, and business teams to deliver reliable data products.

WHAT YOU'LL DO

Engineering & Solution Delivery (70%)

Design, build, and maintain batch and streaming pipelines in Python, including the orchestration, scheduling, and monitoring around them.
Write reusable, well-typed Python libraries and internal packages that other engineers and analysts build on.
Build Python services and APIs that expose data to downstream applications, and integrate with third-party and internal APIs.
Write unit, integration, and data-contract tests, and keep pipelines covered by automated CI.
Profile and optimize Python code and data processing jobs for runtime, memory, and cost.
Deploy and operate code in the cloud using containers, infrastructure as code, and CI/CD.
Enforce access controls, secrets handling, and sensitive-data protections at every stage of the data lifecycle.

Continuous Improvement (30%)

Find and fix efficiency, reliability, cost, and correctness problems in existing code and pipelines, and refactor toward simpler designs.
Replace one-off scripts and notebooks with tested, packaged, scheduled code.
Implement data quality checks, validation, and monitoring that catch issues before consumers do.

ABOUT YOU

Experience

2-4+ years of experience in the following areas:
Shipping production Python, not just scripts or notebooks.
Building and operating ETL/ELT pipelines at scale.
Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
Schema enforcement and validation: Pydantic or similar.
Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
Testing and quality tooling: pytest, pyright, ty, pyrefly, ruff or black.
Dependency and environment management: uv, Poetry, pip-tools, or conda.
At least one public cloud (AWS, Azure, or GCP) and its Python SDK, with familiarity with the others.
Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
Relational and non-relational databases, including schema design.

Education

Bachelor's degree or an equivalent combination of education, training and experience.

Knowledge, Skills & Abilities

Strong, idiomatic Python: data structures, typing, error handling, generators/iterators, context managers, and the standard library.
Software engineering fundamentals: modular design, dependency management, packaging, semantic versioning, and API design.
Testing discipline: pytest, fixtures, mocking, and writing code that is testable by construction.
Debugging and profiling; able to reason about performance, concurrency, and memory in Python.
Working knowledge of SQL, data modeling, governance, and privacy practices sufficient to design sound schemas and query them effectively.
Able to explain technical trade-offs to both technical and business audiences.

Additional Qualifications

Python web/API frameworks (FastAPI, Flask).
Async Python, multiprocessing, or other concurrency patterns.
Streaming: Kafka, Kinesis, or Spark Structured Streaming.
Infrastructure as code and automation (Terraform, GitHub Actions).
Docker and Kubernetes.
A second language: Go, Rust, Scala, or TypeScript.
Generative AI, machine learning, or data science tooling.

References

Visible links
1. https://www.bain.com/about/awards-recognition/
2. https://www.coro.io/

Postulación rápida

Refina tu búsqueda

data analyst engineer empleos en ciudad de méxico, dif

Data Engineer - CORO Products

Manager, Data Governance

Payroll Analyst

Sr. Financial Analyst, MX Marketing and Prime Finance

Principal Analyst, Microsoft 365 Platform Strategy & Architecture

OTA Automotive test analyst

Product Manager

Security Analyst

Network Design & Speed PM II, Fulfillment Experience

Software Engineer II with Accounting Experience (Mexico)

Customer Service Analyst - Billing

Cost Estimation Engineer

Senior Product Analytics Analyst

Software Engineer MTS

AI DI Engineering Manager - Mexico City

Senior Analyst, Microsoft 365 Platform Engineering

Software Development Senior Analyst

Scrum Master

AI DevOps Engineer

Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748

Quiero recibir la alerta de empleo más reciente para data analyst engineer en ciudad de méxico, dif

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