Remote Senior Data Engineer: Pipelines, Warehousing & Cloud

QuadSoft Technologies

Texas

Remote

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading technology company is seeking a Data Engineer to design and build scalable data pipelines and ETL systems in Texas. The successful candidate will have at least 5 years of experience in data engineering and proficiency in Python and SQL. Responsibilities include optimizing data processing and collaborating with data scientists on infrastructure. This full-time position offers remote work options to qualified applicants.

Qualifications

  • 5+ years experience in data engineering.
  • Proficiency in Python and SQL.
  • Experience with data pipelines (Airflow, Spark, or similar).
  • Strong understanding of data warehousing concepts.
  • Knowledge of cloud data platforms.

Responsibilities

  • Design and build scalable data pipelines and ETL systems.
  • Implement data warehousing and analytics solutions.
  • Optimize data processing performance and cost.
  • Ensure data quality, reliability, and governance.
  • Collaborate with data scientists and analysts on data infrastructure.

Skills

Python
SQL
Data engineering
Big data technologies
Data warehousing

Tools

Airflow
Spark
Snowflake
BigQuery
Redshift

Job description

Data Engineering Remote / Texas, USA Full-time

Design and build data pipelines, ETL systems, and analytics platforms. Expertise in big data technologies and cloud platforms required.

Responsibilities
  • Design and build scalable data pipelines and ETL systems
  • Implement data warehousing and analytics solutions
  • Optimize data processing performance and cost
  • Ensure data quality, reliability, and governance
  • Collaborate with data scientists and analysts on data infrastructure
Requirements
  • 5+ years experience in data engineering
  • Proficiency in Python, SQL, and big data technologies
  • Experience with data pipelines (Airflow, Spark, or similar)
  • Strong understanding of data warehousing concepts
  • Knowledge of cloud data platforms (Snowflake, BigQuery, Redshift)
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