🚀 Hiring: Data Engineer – Hanover, NJ
We are looking for an experienced Data Engineer to design, develop, and maintain scalable enterprise data platforms, pipelines, and modern data solutions.
Job Title: Data Engineer
Position Type: Long Terms Contract
Location: Hanover, NJ
Key Responsibilities:
Design, develop, and maintain scalable and reliable data pipelines for batch and real-time processing.
Build and manage enterprise data lakes, data warehouses, and data marts.
Develop ETL/ELT solutions using modern data engineering tools and frameworks.
Collaborate with business stakeholders, architects, analysts, and data scientists to understand data requirements.
Optimize data processing workflows for performance, scalability, and cost efficiency.
Implement data quality, lineage, governance, and monitoring frameworks.
Design and maintain data models supporting analytics and reporting use cases.
Lead technical design discussions and provide engineering best practices.
Troubleshoot complex data integration and performance issues.
Mentor junior engineers and conduct code reviews.
Support CI/CD automation and infrastructure-as-code initiatives.
Required Skills
Data Engineering
Strong experience in designing and building large-scale data platforms.
Expertise in data warehousing and dimensional modeling.
Experience with ETL/ELT design and implementation.
Strong understanding of data governance, metadata management, and data quality frameworks.
Programming & Databases
Advanced proficiency in Python and SQL.
Experience with Spark/PySpark for large-scale data processing.
Strong knowledge of relational and NoSQL databases.
Cloud Technologies
Experience with one or more cloud platforms:
AWS, S3, Glue, Lambda, Redshift, Athena, EMR, Step Functions, Azure, Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, ADLS Gen2, Big Data & Streaming, Apache Spark, Kafka, Kinesis, Hadoop ecosystem (preferred), DevOps & Automation, Git
Jenkins/GitHub Actions/Azure DevOps
Terraform or CloudFormation
Docker and Kubernetes (preferred)
Preferred Qualifications
Experience with Apache Iceberg, Delta Lake, or Hudi.
Hands-on experience with Snowflake or Databricks.
Experience implementing Lakehouse architectures.
Working knowledge of Data Mesh and modern data platform concepts.
Exposure to AI/ML data pipelines and feature engineering.
Experience in Banking, Financial Services, or Capital Markets domains.
📩 Interested or open to new opportunities?
Please send your updated resume with contact details to [email protected]
Thanks and Regards
Vikas Mahindrakar
New York Technology Partners
120 Wood Avenue S | Suite 504 | Iselin, NJ 08830