Senior Data Engineer — Remote Data Pipelines & ML Solutions

Curinos

United States

Hybrid

USD 110,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Competitive benefits across financial, health, and lifestyle options
Flexible working options
Competitive annual leave
Learning and development tools
Employee Assistance Program

Job summary

A leading technology firm in the United States is seeking a Senior Data Engineer to join their Acquire Product team. The role involves designing scalable data pipelines, collaborating with engineers and data scientists, and maintaining high standards in data engineering practices. Ideal candidates will have advanced skills in Python and SQL, extensive experience with data pipeline tools, and a minimum of three years in the field. This position offers competitive benefits and flexible working options, including remote work.

Qualifications

  • Minimum 3+ years of professional experience in data engineering.
  • Strong understanding of data engineering best practices.

Responsibilities

  • Design, build, and maintain scalable data pipelines.
  • Develop and maintain ETL data pipelines for large volumes of data.
  • Collaborate with product teams to support ML models.
  • Conduct code reviews and provide feedback.

Skills

Advanced proficiency in Python
Advanced proficiency in SQL
Experience with Spark
Experience with Airflow
Experience with Databricks
Strong analytical skills
Self-discipline and eagerness to learn
Solid verbal and written communication skills

Tools

ETL tools
Big Data technologies
Distributed computing

Job description

A leading technology firm in the United States is seeking a Senior Data Engineer to join their Acquire Product team. The role involves designing scalable data pipelines, collaborating with engineers and data scientists, and maintaining high standards in data engineering practices. Ideal candidates will have advanced skills in Python and SQL, extensive experience with data pipeline tools, and a minimum of three years in the field. This position offers competitive benefits and flexible working options, including remote work.
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