Data Engineer

Remote in Philadelphia, PA, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Professional Development
  • Data Engineering
  • Data Warehouse
  • Management
  • GitHub
  • Technical Writing
  • High Availability
  • Systems Design
  • Quality Assurance
  • Requirements Elicitation
  • Post-production
  • Databricks
  • Extract
  • Transform
  • Load
  • Amazon Web Services
  • Snow Flake Schema
  • Terraform
  • Continuous Integration
  • Continuous Delivery
  • Documentation
  • Testing
  • Collaboration
  • Knowledge Sharing
  • Specification Gathering
  • Risk Management

Summary

Data Engineer
This is a contract position focused on building and scaling world-class data infrastructure using AWS, Databricks, and Snowflake. You will be at the forefront of our data movement strategy, ensuring that information flows seamlessly and reliably across our enterprise ecosystems.

The Opportunity This role is perfect for a builder who thrives on solving complex architectural puzzles and eliminating system vulnerabilities. You will have the unique opportunity to lead the charge in identifying and mitigating single points of failure (SPOF) within a high-growth environment. Beyond the technical challenges, we prioritize a collaborative culture that encourages knowledge sharing and professional development, ensuring you stay at the cutting edge of data engineering best practices.
Required Skills & Experience
  • Proven experience building and maintaining data pipelines in AWS.
  • Expertise in developing and optimizing ETL jobs within Databricks.
  • Hands-on experience with Snowflake data warehousing.
  • Proficiency in Infrastructure as Code using Terraform.
  • Experience managing CI/CD pipelines via Concourse or GitHub Actions.
Desired Skills & Experience
  • Strong background in technical documentation and creating architectural specifications.
  • Experience in risk mitigation and high-availability system design.
  • Background in Quality Assurance and post-delivery support for data products.
What You Will Be Doing
You will be responsible for the end-to-end development of data pipelines, from requirement gathering to post-production support. You will proactively identify system risks, troubleshoot defects with high urgency, and ensure the absolute reliability of our data delivery.
Tech Breakdown
  • 40% Databricks & ETL
  • 30% AWS & Snowflake
  • 20% Terraform & CI/CD
  • 10% Documentation & Testing
Daily Responsibilities
  • 70% Hands-On Engineering (Coding, Pipeline Building, Troubleshooting)
  • 20% Team Collaboration & Knowledge Sharing
  • 10% Technical Specs & Risk Mitigation Strategy
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.
  • Dice Id: 10105282
  • Position Id: 870776
  • Posted 4 hours ago
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