Mexico City, Mexico
Open 5 months, first seen by us 171 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Spearhead development and deployment of complex data infrastructure
Ensure high-quality data availability for analytics and AI initiatives
spearhead the development and deployment of complex data infrastructure
ensuring high-quality data availability for analytics and AI initiatives
Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential
hands-on experience with Databricks and Spark/Scala
expertise in implementing Claude AI solutions within the Azure cloud environment is required
Requirements - Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes. Benefits
From the employer’s posting.
Open 5 monthsWe first saw this posting 171 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 171
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Tiger Analytics’s usual: its jobs come down by about day 68.
From 13,355 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
74 open jobs
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.
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Benefits
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Mexico City, Mexico
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