Senior Data Engineer (W2 Only)

Overview

Remote
On Site
Depends on Experience
Contract - W2

Skills

Advanced Analytics
Amazon Redshift
Amazon Web Services
Analytics
Apache Flink
Apache Hadoop
Apache Kafka
Apache Spark
Artificial Intelligence
Big Data
Cloud Computing
Collaboration
Communication
Computer Science
Continuous Delivery
Continuous Improvement
Continuous Integration
Data Architecture
Data Engineering
Data Governance
Data Modeling
Data Warehouse
Databricks
DevOps
Docker
Emerging Technologies
Git
Good Clinical Practice
Google Cloud Platform
IT Management
Information Systems
Java
Kubernetes
Leadership
Machine Learning (ML)
Management
Mentorship
Microsoft Azure
Optimization
Project Management
Python
Real-time
Regulatory Compliance
SQL
Scala
Scalability
Snow Flake Schema
Streaming
Terraform
Version Control
Warehouse
Workflow

Job Details

Position: Senior Data Engineer
Contract: W2 Only

Job Summary

We are looking for a highly skilled Senior Data Engineer with 10+ years of experience to lead the design, development, and optimization of large-scale data platforms. This role requires deep expertise in modern data architectures, cloud technologies, and big data frameworks, along with proven leadership in guiding teams and driving best practices in data engineering.

Key Responsibilities

  • Architect, design, and manage scalable, secure, and high-performance data pipelines and platforms.

  • Lead end-to-end implementation of data warehouses, data lakes, and streaming solutions.

  • Define and enforce data governance, security, and compliance standards.

  • Collaborate with business stakeholders, data scientists, and analysts to enable advanced analytics and AI/ML initiatives.

  • Optimize workflows for cost, performance, and scalability across hybrid/multi-cloud environments.

  • Provide technical leadership and mentorship to junior/mid-level data engineers.

  • Evaluate emerging technologies and recommend tools, frameworks, and architectures for continuous improvement.

  • Drive automation, CI/CD, and DevOps practices in data engineering projects.

Required Qualifications

  • 10+ years of professional experience in data engineering, data architecture, or related roles.

  • Bachelor s/Master s degree in Computer Science, Information Systems, or related field.

  • Advanced expertise in SQL and proficiency in Python/Scala/Java.

  • Strong experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink, etc.).

  • Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and services like Redshift, Snowflake, BigQuery, Databricks, Synapse.

  • In-depth knowledge of data modeling, warehousing, governance, and security.

  • Proven track record of designing and managing petabyte-scale data systems.

  • Familiarity with DevOps, CI/CD pipelines, Kubernetes, Docker, and version control (Git).

Preferred Skills

  • Experience integrating AI/ML pipelines and real-time analytics solutions.

  • Expertise in multi-cloud or hybrid-cloud environments.

  • Exposure to Infrastructure as Code (Terraform, CloudFormation).

  • Strong leadership, project management, and stakeholder communication skills.

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.