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Senior Data Engineer

  • Permanent
  • $160,000 + bonus
  • Remote, United States
  • Data Engineering
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Senior Data Engineer (Remote, East Coast US)

Job Type: Full-time
Location: Remote (East Coast US)
Salary: $160,000 base + bonus
 

Job Description:

Our leading e-commerce brand client is seeking an experienced Senior Data Engineer to join their team. As a Senior Data Engineer, you will be critical in designing, building, and maintaining large-scale data systems that drive business growth and informed decision-making. This is a remote opportunity, allowing you to work from the comfort of your home on the East Coast.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines using ETL tools and technologies
  • Lead the development of data architectures that support business intelligence, analytics, and data science initiatives
  • Collaborate with cross-functional teams to identify data needs and develop solutions to meet those needs
  • Develop and maintain large-scale data processing applications using Apache Spark and other big data technologies
  • Ensure data quality, integrity, and security across all data systems
  • Develop and implement data governance policies and procedures
  • Mentor junior data engineers and provide technical guidance
  • Stay up-to-date with industry trends and emerging technologies, applying knowledge to improve data engineering practices continuously

Requirements:

  • 4+ years of experience in data engineering, with a focus on ETL, data architecture, and big data technologies
  • Strong proficiency in Apache Spark, with expertise in developing scalable data processing applications
  • Experience with ETL tools such as Informatica, Talend, or AWS Glue
  • Strong understanding of data modeling, data warehousing, and data governance principles
  • Proficiency in programming languages such as Java, Scala, or Python
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure
  • Strong analytical and problem-solving skills, with the ability to work in a fast-paced environment
  • Excellent communication and collaboration skills, with experience working with cross-functional teams
  • Bachelor's degree in Computer Science, Engineering, or related field

Nice to Have:

  • Experience with data engineering tools such as Apache Beam, Apache NiFi, or AWS Data Pipeline
  • Knowledge of data science and machine learning concepts, with experience working with data scientists and analysts
  • Experience with agile development methodologies and version control systems such as Git
  • Certification in Apache Spark, AWS, or GCP

What Our Client Offers:

  • Competitive salary ($160,000 base + bonus)
  • Opportunity to work with a leading e-commerce brand
  • Remote work arrangement, allowing for flexibility and work-life balance
  • Collaborative and dynamic team environment
  • Professional development opportunities, including training and conference sponsorships
  • Comprehensive benefits package, including medical, dental, and vision coverage
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