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Data Engineer

Location: Remote -, Texas, United States
Job ID: R0004811
Date Posted: Nov 4, 2021
Segment: Others (Including Headquarters and R&D )
Business Unit: Hitachi Regional Headquarters
Company Name: Hitachi America, Ltd.
Profession (Job Category): Other
Job Type (Experience Level): Experienced
Job Schedule: Full time
Remote: Yes

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Data Engineer

Company: Hitachi America, Ltd.

Division: Research and Development, Industrial AI Lab (R&D/IAL)

Location: Remote/Home Office

Status: Temporary, full-time from November 2021 through March 2022


Hitachi America, Ltd. is in need of Data Engineers to assist researchers to develop and implement data processing pipelines.  Ideal candidates should be self-starting, experienced programmers in the area of data engineering and comfortable working with research problems.


  • MS degree or higher in Computer Science / Data Science / Industry Engineering / Operation Research / Statistics.
  • 5+ years of experience in data engineering - specifically data processing software development is required.
  • Strong experience in Python and SQL/Database/EDW (e.g. Postgres, Talend) is required. Common Python libraries for data processing (e.g. pandas, numpy) is required.
  • Strong experience in data pipeline design, data cleansing, ETL is required.
  • Experience of creating data processing pipelines on open source software and platform (e.g. Spark/Apache AirFlow/Apache Beam/etc.) is required.
  • Experience in docker containerization and cloud service platform (AWS/GCP/AZURE) is required.
  • Expertise in breaking down problems and estimate time for development tasks is required.
  • Knowledge in applying AI/Machine Learning libraries in industrial applications is a plus.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to [email protected] Queries other than accommodation requests will not be responded to.

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