Data Engineer
US$22 – US$32 / hr base salary
Posted 17 Aug 2026
Advertised as “Data Engineer, AWS Glue”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Contract
| Base salary | US$22 – US$32 / hr |
|---|
Location: LATAM , 100% remote
Contract Lenght: 1 year, potential extension
Rate Range: $22-32/hr USD
NTT DATA is a team of more than 190,000 diverse professionals, operating in more than 50 countries throughout the world. The sectors where we have activities include: telecommunications, finance, industry, utilities, energy, public administration and health.
Our mission? Offer technological solutions, business, strategy, development and maintenance of applications, while being a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.
Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to the needs of each client. Our talent has led us to be one of the top 6 technology companies in the world.
Because #Greattech, needs #GreatPeople, like you
NTT DATA is looking for high-achieving team players that are quickly adaptable to new challenges and entrepreneurial ventures. We are looking for a Data Engineer, AWS Glue to work with our global client in the U.S. for a remote opportunity in LATAM (including Mexico, Brazil, Chile, Peru).
We are seeking a Data Engineer specialized in moving data from heterogeneous source systems into Amazon S3 and processing it across the lake, with AWS Glue as the core engine. The primary focus of the role is ingestion: connectivity to sources, full and incremental extraction, landing zone design, and reliable, repeatable loads at scale. On top of that foundation, capabilities across every layer of the medallion architecture, from raw landing through cleansed and gold layer. Accountable for pipeline reliability, data quality and processing cost efficiency in enterprise or highly regulated environments.
Responsibilities:
- Design, build and maintain ingestion pipelines that move data from relational, file, API and streaming sources into Amazon S3, with full, incremental and CDC based loads.
- Define and maintain the landing and raw zone layout: partitioning, file formats, naming conventions, compression, retention and immutability of source data.
- Onboard new source systems end to end, covering connectivity and network configuration, credential management, extraction strategy, volume and window analysis, and coordination with source owners.
- Guarantee load completeness and integrity through reconciliation against the source, control tables, reprocessing procedures and clear handling of failed or partial runs.