Data Engineer

Everforth Apex
Jersey City, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 142K

Job location

Jersey City, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Azure
Continuous Integration
Information Engineering
ETL
Distributed Systems
Python
MongoDB
Performance Tuning
Reference Data
Simple Data Format
Software Engineering
SQL Databases
Systems Integration
Workflow Management Systems
Azure
Google Cloud Platform
Data Ingestion
Snowflake
Spark
GIT
Data Lake
Information Technology
Kafka
Data Management
Terraform
Data Pipelines
Key Vault
Databricks

Job description

We are seeking a hands-on Data Engineer for a development-centric role. The position involves designing, implementing, and optimizing data ingestion, transformation, and orchestration workflows using Snowflake and Databricks. You will collaborate with data scientists, platform engineers, and product teams to deliver reliable, secure, and cost-efficient data products. This role requires managing all phases of the software development life cycle to deliver technical solutions., * Design, implement, and optimize scalable ETL/ELT pipelines across AWS, Google Cloud Platform, and Azure.

  • Analyze business or technical requirements and design solutions to develop business-critical components.
  • Work with technical and business partners to deliver solutions.
  • Manage application design, development, delivery, and post-production support.
  • Enhance the existing application stack and act as an application manager for key reference data applications.
  • Deliver production-grade pipelines with comprehensive monitoring, alerting, and documentation.

Requirements

Experience: 5 to 8 years in data engineering or software engineering with hands-on pipeline development., * Production experience with at least one of the following cloud platforms: AWS, Google Cloud Platform, or Azure.

  • Proficiency in Python and SQL.
  • Experience with Snowflake, including ELT, performance tuning, and security.
  • Experience with Databricks/Spark, including Delta Lake and structured streaming.
  • Experience integrating and modeling data from MongoDB.
  • Understanding of orchestration tools (Airflow/ADF/Cloud Composer), CI/CD, Git, and IaC (Terraform).
  • Knowledge of data modeling, distributed systems, and file formats., * Experience with Kafka, Kinesis, or Event Hubs for streaming ingestion.
  • Familiarity with dbt for transformation and testing in Snowflake or Databricks.
  • Knowledge of security best practices, including encryption, KMS/Key Vault, tokenization, and network isolation.
  • Experience with cost governance or FinOps for data platforms.
  • Exposure to ML feature pipelines and feature stores.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

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