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Data Engineer

Smart IT Frame
Newark, NJ, United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Airflow Amazon Web Services Automation of Tests Cloud Storage Information Systems Computer Programming Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing
+15 more
Monitoring of Systems Apache Hive Python (Programming Language) Meta-Data Management NoSQL Scala (Programming Language) Data Streaming Data Logging Data Processing Cloud Platform System Azure Data Factory AWS Lambda Data Lakes Information Technology Apache Kafka

Requirements

  • Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field
  • 5+ years of Data Engineering / ETL / ELT experience
  • Experience handling large-volume data processing in distributed or cloud environments
  • Strong SQL expertise
  • Programming experience in Python, Java, Scala, or Spark SQL
  • Experience with Airflow, Azure Data Factory, or AWS Step Functions
  • Knowledge of Data Warehouses, Data Lakes, Relational & NoSQL Databases
  • Experience designing resilient pipelines with monitoring, logging, retry mechanisms, and failure recovery

Preferred Skills

  • AWS Cloud Platform
  • AWS Lambda
  • Kafka
  • Data Modeling
  • Metadata Management
  • Data Governance & MDM
  • CI/CD Pipelines
  • Infrastructure as Code
  • Experience within highly regulated industries (Financial Services, Healthcare, etc.)

Environment

  • Cloud Storage & Data Lakes
  • Data Warehouses
  • Streaming Platforms
  • APIs
  • Automated Testing
  • Observability & Monitoring Tools

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Leveraging Real time data in FSIs thumbnail
41:51
LIVE • almost 3 years ago

Leveraging Real time data in FSIs

Tim Faulkes

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • over 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

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