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Data Engineer

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Techstar Consulting

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Location:
United States , Woodcliff Lake, New Jersey

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

As a Data Engineer you will work with product owners, data scientists, business analysts and software engineers to design and build solutions to ingest, transform, store, and export data in a cloud environment while maintaining security, scalability, and personal data protection.

Job Responsibility:

  • Implements and enhances complex data processing pipelines with a focus on collecting, parsing, cleaning, managing, and analyzing large data sets that produce valuable business insights and discoveries
  • Determines the required infrastructure, services, and software required to build advanced data ingestion & transformation pipelines and solutions in the cloud
  • Assists data scientists and data analysts with data preparation, exploration, and analysis activities
  • Applies problem solving experience and knowledge of advanced algorithms to build high performance, parallel, and distributed solutions
  • Performs code and solution review activities and recommends enhancements that improve efficiency, performance, stability, and decreased support costs
  • Applies the latest DevOps and Agile methodologies to improve delivery time
  • Works with SCRUM teams in daily stand-up, providing progress updates on a frequent basis
  • Supports application, including incident and problem management
  • Performs debugging and triage of incident or problem and deployment of fix to restore services
  • Documents requirements and configurations and clarifies ambiguous specs
  • Performs other duties as assigned by management

Requirements:

  • Bachelor’s degree in Computer Science, Mathematics, or Engineering or the equivalent of 4 years of related professional IT experience
  • 3+ years of enterprise software engineering experience with object-oriented design, coding and testing patterns, as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructure solutions
  • 3+ years of software engineering and architecture experience within a cloud environment (Azure, AWS)
  • 3+ years of enterprise data engineering experience within any “Big Data” environment (preferred)
  • 3+ years of software development experience using Python
  • 2+ years of experience working in an Agile environment (Scrum, Lean or Kanban)
  • 3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g., AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g., Oozie, Apache Airflow) technologies
  • 3+ years of experience in implementing distributed data processing pipelines using Apache Spark
  • 3+ years of experience in designing relational/NoSQL databases and data warehouse solutions
  • 2+ years of experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
  • 2+ years of Unix/Linux operating system knowledge (including shell programming)
  • 1+ years of experience in automation/configuration management tools such as Terraform, Puppet or Chef
  • 1+ years of experience in container development and management using Docker
  • SQL, Python, Spark
  • Strong experience with data handling using Python is required
  • Basic knowledge of continuous integration tools (e.g., Jenkins)
  • Basic knowledge of machine learning algorithms and data visualization tools such as Microsoft Power BI and Tableau

Additional Information:

Job Posted:
December 12, 2025

Work Type:
Hybrid work
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