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Data Engineer – W2; H1B​/OPT

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Xcelo Group Inc
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer – W2 (H1B/OPT) Accepted

Job Title: Data Engineer Full-time

Location: Dallas, TX (Remote)

Duration: Long Term

Experience: 6
-10 Years

We’re searching for a skilled Data Engineer to design, develop, and optimize data pipelines and architectures. You’ll collaborate with data scientists, analysts, and product managers to support data-driven decision‑making across our organization.

Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data architectures for data collection, storage, processing, and retrieval.
  • Work closely with data scientists and product managers to understand requirements and translate them into technical solutions.
  • Write clean, maintainable, and well‑documented code, adhering to best practices.
  • Conduct code reviews and contribute to a collaborative development environment.
  • Troubleshoot and debug complex technical issues related to data pipelines and architectures.
  • Stay up‑to‑date on the latest advancements in data engineering and related technologies.
Qualifications
  • 5+ years of experience as a Data Engineer.
  • In-depth knowledge of SQL and experience with relational databases (e.g., Postgre

    SQL, MySQL).
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
  • Familiarity with data warehousing solutions (e.g., Redshift, Big Query, Snowflake).
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem‑solving and analytical skills.
  • Strong communication and collaboration skills.
  • Relevant certifications in data engineering or related fields are a plus.

We look forward to meeting you!

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