Talent.com
Data Engineer

Data Engineer

Weekday AiJersey City, New Jersey, United States
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This role is for one of the Weekday's clients

Min Experience : 2 years

Location : new jersy, New York

JobType : full-time

We are seeking a highly motivated and detail-oriented Data Engineer with 2–3 years of experience to join our growing technology team. The ideal candidate will have strong expertise in Python and a solid understanding of modern data engineering practices. This role is ideal for individuals who are passionate about building scalable data pipelines, managing large datasets, and enabling data-driven decision-making across the organization.

Key Responsibilities

  • Design, build, and maintain data pipelines : Develop efficient and reliable ETL / ELT workflows to process, transform, and load data from multiple sources into structured formats.
  • Data modeling and architecture : Support the design and optimization of databases, data warehouses, and other storage solutions to ensure high performance, scalability, and availability.
  • Automation and scripting : Leverage Python to automate data workflows, improve data ingestion, and streamline repetitive tasks.
  • Data integration : Work with APIs, cloud platforms, and third-party tools to integrate diverse data sources into unified data platforms.
  • Data quality and validation : Monitor and ensure data accuracy, completeness, and reliability by implementing validation checks and error-handling mechanisms.
  • Collaboration with stakeholders : Partner with data analysts, data scientists, and business teams to understand data requirements and deliver effective solutions.
  • Performance optimization : Identify bottlenecks in existing data systems and optimize pipelines for speed and efficiency.
  • Documentation and best practices : Maintain clear documentation for workflows, systems, and processes, ensuring team members can easily follow and maintain codebases.

Required Skills and Qualifications

  • 2–3 years of professional experience in data engineering or related fields.
  • Strong programming skills in Python , with experience in data manipulation libraries such as Pandas, NumPy, and PySpark .
  • Hands-on experience with SQL for querying, analysis, and database management.
  • Familiarity with ETL / ELT frameworks , data integration tools, and best practices.
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud for data engineering tasks.
  • Understanding of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery is a plus.
  • Solid grasp of data structures, algorithms, and optimization techniques for handling large datasets.
  • Knowledge of version control systems (e.g., Git) and collaborative coding practices.
  • Strong problem-solving skills, attention to detail, and ability to troubleshoot complex data issues.
  • Excellent communication skills to interact with both technical and non-technical stakeholders.

    • Preferred Skills (Good to Have)

  • Experience with workflow orchestration tools such as Apache Airflow or Prefect.
  • Familiarity with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
  • Understanding of data governance, data security, and compliance practices .
  • Exposure to containerization (Docker) and CI / CD pipelines for deployment automation.
  • Knowledge of basic machine learning workflows to support data science teams.
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    Data Engineer • Jersey City, New Jersey, United States