Big Data Engineer | Remote - Contract

Posted Yesterday
Hiring Remotely in United States
Remote
Entry level
HR Tech • Information Technology • Professional Services • Consulting
The Role
Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.
Summary Generated by Built In

Job Title: Big Data Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Required Skills

  • big data

  • Python

  • databases

  • data engineering

Key Responsibilities:

  • Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.

  • Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.

  • Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.

  • Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.

  • Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.

  • Enforce data quality, security, and governance standards across all solutions.

  • Document solutions and communicate complex technical concepts effectively, both in writing and verbally.

Required Skills and Qualifications:

  • Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.

  • Advanced proficiency in Python for data processing, automation, and integration.

  • Deep understanding of relational and NoSQL databases, including optimization and management techniques.

  • Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).

  • Strong foundation in data modeling, ETL processes, and data warehousing principles.

  • Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.

  • Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.

Preferred Qualifications:

  • Prior experience in fast-paced or startup-like environments supporting global teams.

  • Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).

  • Familiarity with machine learning operations and data science workflows is a plus.

Skills Required

  • Hands-on expertise building and maintaining large-scale big data pipelines
  • Advanced proficiency in Python for data processing, automation, and integration
  • Deep understanding of relational and NoSQL databases, including optimization and management
  • Experience with distributed data processing frameworks such as Hadoop, Spark, or Flink
  • Knowledge of data modeling, ETL processes, and data warehousing principles
  • Excellent written and verbal communication skills
  • Ability to work detail-oriented, proactively, and autonomously in a remote environment
  • Experience in fast-paced or startup-like environments supporting global teams
  • Expertise with cloud-based big data platforms such as AWS, GCP, or Azure
  • Familiarity with machine learning operations and data science workflows
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The Company
Year Founded: 2012

What We Do

Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.

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