Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) - Onsite Hybrid
NTT Data
Dallas, TX · Posted September 2, 2026
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Where Dallas, TX ranks
Where Dallas, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for construction and real estate jobs170 openings · of 13
- #2Best all-round cities for remote workers in the Southwest89 / 100 · of 15
- #2Best all-round cities for AI careers in the Southwest84 / 100 · of 15
- #3Cities with the most jobs that do not need a four-year degree in the Southwest401 jobs · of 38
- #3Best cities for software and engineering jobs in the Southwest772 openings · of 33
- #3Best all-round cities for mid-career professionals in the Southwest72 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
We are currently hiring a Data Engineer - Data Platform to design and develop scalable real-time and batch data pipelines using Apache Spark, Kafka, and Flink. You will lead cloud migration initiatives and support enterprise data movement. Ideal candidates bring extensive experience in distributed systems and cloud-native solutions.