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Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build and maintain ETL data pipelines using Cicada and other Big Data tools

  • Process real-time and batch big data across factories, business units and systems

  • Analyze user needs, system requirements and business processes

  • Design, create and maintain Tableau dashboards and present them

From the employer’s posting
create, maintain, and optimize ETL pipelines using Apache or other Big Data tools and Cicada, an internal ETL tool
Processing real-time and batch Big Data.
Analyzes user needs, system requirements and business processes.
Design, create, maintain, update, manage and present Tableau Dashboards.
Apply at Foxconn

Posting record

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Status in our records
Live
First seen by us
Aug 12, 202683 days ago
Recorded sightings
178
Last seen by us
Nov 4, 2026
Reposted
once since Jun 2, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 83

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Foxconn is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
  • 40% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • JavaScript
  • Python
  • SQL
  • Hadoop
  • Hive
  • Kafka
  • Spark
  • Tableau
Where the posting names them
- Experience with Git Repositories (GITLAB) or JIRA. - Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome. - Proficiency in Tableau or other data visualization tools.
- Experience with system performance tuning and monitoring. - Proficiency in SQL and Python. - Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.
- Proficiency in SQL and Python. - Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink. - Proficiency in real-time and batch data processing on Big Data platforms
- 40%, Processing real-time and batch Big Data. - 10%, Design, create, maintain, update, manage and present Tableau Dashboards. Skills/Qualifications:
- Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome. - Proficiency in Tableau or other data visualization tools. Educational Requirements:

Your next step

Complete your application on foxconnassemblyllc.applytojob.com. The employer’s form will show what is required.

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  • No account needed: one application form on the employer’s applytojob.com page.

Already applied? Track this application

Has Foxconn posted this job before?

Yes. We’ve followed one other Data Engineer job there since June 2026. It came down after 69 days.

  1. HoustonCame down after 69 days, first seen Jun 2
  2. This jobUp 84 days so far, first seen Aug 12

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Job Summary:

Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of sources within the manufacturing factory setting. The data engineer will create, maintain, and optimize ETL pipelines using Apache or other Big Data tools and Cicada, an internal ETL tool. This role will manage big data that are cross-factory, cross-business-units and cross-systems.

Responsibilities:

  • 10%, Analyzes user needs, system requirements and business processes.
  • 40%, ETL/ manage data pipelines using Cicada.
  • 40%, Processing real-time and batch Big Data.
  • 10%, Design, create, maintain, update, manage and present Tableau Dashboards.

Skills/Qualifications:

  • Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.
  • 3+ years of experience in data engineering, such as data warehousing and ETL pipeline design, development, and maintenance and optimization.
  • Proficiency in ETL tool programing, debugging, maintenance, and monitoring to ensure data ingestion, cleansing, and loading.
  • Experience with data warehouse modeling and standardization.
  • Experience with backend API integration.
  • Experience with system automated code CI/CD.
  • Experience with system performance tuning and monitoring.
  • Proficiency in SQL and Python.
  • Proficiency in Hadoop, Kudu, Hive, Kafka, Spark and/or Flink.
  • Proficiency in real-time and batch data processing on Big Data platforms
  • Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.
  • RESTful API’s programming, at least 1 year of development experience.
  • Advanced knowledge and experience with Linux (CentOS, RedHat, Ubuntu).
  • Excellent communication, organization, and interpersonal skills.
  • Experience leading data development projects.
  • Excellent problem-solving skills with extreme attention to detail.
  • Outstanding work ethic and commitment to individual and organizational success.
  • Excellent analytical and advanced troubleshooting skills with end-users/clients.
  • Ability to manage multiple tasks and projects, both independently and as part of a team.
  • Demonstrated ability to learn new things and continuously drive process improvement.

Plus/Desired:

  • Familiar with electronics manufacturing industry domain know-how.
  • Experience with Git Repositories (GITLAB) or JIRA.
  • Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome.
  • Proficiency in Tableau or other data visualization tools.

Educational Requirements:

  • Bachelor’s degree in Data Engineering, Data Science, Data Management, Information Systems or related fields.
  • Any software programming certifications are a plus.
Source details

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Pay

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Location & working pattern

Houston, TX

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