Full-Time Roles - Data Engineer - Onsite - NJ / MI

Detroit, MI, US • Posted 1 day ago • Updated 1 day ago
Full Time
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Apache Spark
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Integration
  • Data Modeling
  • Data Processing
  • Data Warehouse
  • Data Quality
  • Data Security
  • Databricks
  • ELT
  • Extract
  • Transform
  • Load
  • Microsoft Azure
  • Google Cloud Platform
  • SQL
  • Python
  • PySpark
  • NoSQL

Summary

Full-time Role: Data Engineer (Onsite)

(Direct Client)

Location: Princeton NJ/ Detroit, MI

Job Description:
We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data scientists, analysts, software engineers, and business teams to ensure reliable and high-quality data.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build and optimize data processing workflows for large datasets.
  • Develop data solutions using Python, SQL, and cloud technologies.
  • Work with structured and unstructured data from multiple sources.
  • Design and maintain data warehouses, data lakes, and databases.
  • Perform data transformation, cleansing, validation, and quality checks.
  • Optimize SQL queries and data-processing jobs for performance.
  • Implement data integration solutions using APIs, files, databases, and streaming platforms.
  • Monitor data pipelines and troubleshoot data-related issues.
  • Collaborate with Data Scientists, Data Analysts, BI teams, and application developers.
  • Implement data security, governance, and access-control best practices.
  • Create and maintain technical documentation for data pipelines and architectures.

Required Skills

  • 6+ years of experience in Data Engineering or a related field.
  • Strong experience with Python and SQL.
  • Experience building ETL/ELT pipelines.
  • Hands-on experience with AWS, Azure, or Google Cloud Platform.
  • Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
  • Experience with Apache Spark / PySpark.
  • Knowledge of relational and NoSQL databases.
  • Experience with Airflow, Databricks, or similar orchestration/data platforms.
  • Strong understanding of data modeling and database concepts.
  • Experience with Git and CI/CD.
  • Good understanding of data quality, governance, and security.

Best Regards

Kyle,

Sr. US IT Recruiter

Infinity Tech Group Inc,

12 N Route 17 Suite # 201 Paramus NJ 07652

kylek Att infigroup Dottcomm

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: infnj003
  • Position Id: Kyle1576
  • Posted 1 day ago
Contact the job poster
Sanjay Kumar

Sanjay Kumar

Recruiter @ Infinity Tech Group Inc

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