Data Engineer designing and building scalable ETL/ELT pipelines for enterprise-grade analytics solutions. Collaborating with product teams to deliver high-quality, secure, and discoverable data.
Responsibilities
Join a team of builders shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale.
Design, build, and operate reliable batch and streaming data pipelines.
Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices.
Build streaming and micro-batch data flows, including schema evolution, late/out-of-order events handling, and exactly-once delivery semantics.
Model data for analytics and ML using layered “bronze/silver/gold” patterns.
Embed observability (logging, metrics, tracing), data quality checks, and cost/performance optimization into everything you ship.
Automate testing and deployments with CI/CD.
Collaborate with domain SMEs and data product owners to define requirements, acceptance criteria, and success metrics.
Operate what you build: participate in on-call/incident response rotations and drive RCA and preventative engineering.
Requirements
Bachelor's in Computer Science, Engineering, or equivalent experience will be considered in lieu of degree
5+ years building data pipelines at scale with a modern data stack
Strong proficiency in Python and SQL, plus performance tuning of both
Hands-on experience with distributed compute (e.g., Apache Spark) and lakehouse/warehouse paradigms
Data modeling for analytics (dimensional/medallion), data contracts, and schema management
CI/CD (Git-based workflows) and infrastructure-as-code (e.g., Terraform) in a cloud environment
Practical knowledge of data security, privacy, and access control concepts.
Benefits
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Principal Data Engineer designing and developing innovative data analytical solutions for the gaming industry. Leading and mentoring while engaging with clients to fulfill their data engineering needs.
Specialist, Data Engineering at CoverMyMeds enhancing and expanding data platforms for commercial data products. Collaborating with multiple teams to design scalable data solutions from various sources.
Team Lead in Data Engineering at Avanquest mentoring data engineering team and ensuring efficient data management across platforms. Collaborating with departments to align solutions and optimize workflows.
Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.