Hiring: Data Engineer Hanover, NJ
We're looking for an experienced Data Engineer to design, build, and optimize scalable, cloud-native data platforms supporting batch and real-time processing, analytics, and enterprise reporting. The ideal candidate will have strong hands-on expertise in Python, SQL, PySpark, ETL/ELT, cloud data engineering, and modern Lakehouse architectures, along with the ability to lead technical discussions and mentor engineering teams.
Job Title: Data Engineer
Position Type: Long Term Contract
Location: Hanover, NJ
Key Responsibilities:
Design develop and maintain scalable and reliable data pipelines for batch and realtime processing
Build and manage enterprise data lakes data warehouses and data marts
Develop ETLELT 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 CICD automation and infrastructure ascode initiatives
Required Skills
Data Engineering
Strong experience in designing and building largescale data platforms
Expertise in data warehousing and dimensional modeling
Experience with ETLELT 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 largescale 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 Cloud Formation
Docker and Kubernetes preferred
Preferred Qualifications
Experience with Apache Iceberg Delta Lake or Hudi
Handson experience with Snowflake or Databricks
Experience implementing Lakehouse architectures
Working knowledge of Data Mesh and modern data platform concepts
Exposure to AIML 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
Thanks and Regards
Vikas Mahindrakar
New York Technology Partners
120 Wood Avenue S | Suite 504 | Iselin, NJ 08830
