Senior Data Engineer

Boston, MA, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
$160000 - $180000/yr
Fitment

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Job Details

Skills

  • Economics
  • Recruiting
  • Cloud Architecture
  • Advanced Analytics
  • Software Engineering
  • Python
  • SQL
  • Apache Spark
  • Snow Flake Schema
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Terraform
  • Continuous Integration
  • Continuous Delivery
  • Version Control
  • Docker
  • Kubernetes
  • Communication
  • Computer Science
  • Customer Facing
  • Data Governance
  • Artificial Intelligence
  • Machine Learning (ML)
  • Evaluation
  • Text Mining
  • Workflow
  • Visualization
  • Tableau
  • Microsoft Power BI
  • Data Engineering
  • IaaS
  • Analytics
  • Mentorship
  • IT Management
  • Collaboration
  • Health Insurance
  • SAP BASIS

Summary

Job Description
A globally recognized economics, technology, and strategy consulting firm is hiring a full-time Senior Data Engineer to join its engineering center of excellence. This team builds scalable data infrastructure and automation platforms that support high-impact consulting engagements across Fortune 100 companies, governments, and leading technology organizations. The environment combines modern cloud architecture, advanced analytics, and large-scale data engineering using technologies like Python, SQL, Snowflake, Spark, Airflow, dbt, Terraform, and Kubernetes.

This is a highly visible engineering role where you'll influence how complex, data-intensive consulting projects are built and delivered across the organization. The team is looking for someone who can architect scalable systems, mentor engineers, and help create reusable frameworks that improve delivery across dozens of engagements.
Required Skills & Experience
8+ years of experience in data engineering, software engineering, or data infrastructure roles
Strong proficiency in Python and SQL
Experience with modern data stack tools such as Airflow, dbt, Spark, Snowflake, or BigQuery
Experience designing scalable cloud-based data architectures across AWS, Azure, or Google Cloud Platform
Experience with Infrastructure as Code tools such as Terraform or CloudFormation
Strong understanding of CI/CD, version control, Docker, and Kubernetes
Experience building scalable, reproducible, and performance-optimized data systems
Excellent communication and cross-functional collaboration skills
Bachelor's degree in Computer Science, Engineering, or related field
Desired Skills & Experience
Consulting or client-facing engineering experience
Experience developing reusable frameworks, libraries, or internal tooling
Familiarity with data governance and lineage tracking solutions
Exposure to AI/ML pipelines, LLM evaluation systems, or text analytics workflows
Experience supporting analytics and visualization platforms such as Tableau, Power BI, or Streamlit
What You Will Be Doing Tech Breakdown
40% Data Engineering & Pipeline Development
25% Cloud Infrastructure & Platform Engineering
20% Architecture & Technical Leadership
15% Automation, Tooling & Analytics Enablement
Daily Responsibilities
60% Hands On Engineering
20% Mentorship & Technical Leadership
20% Cross-Functional Collaboration
The Offer
Competitive base salary + annual 401(k) contributions

You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) with company contribution
Flexible/hybrid work environment

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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: 876412
  • Posted 1 hour ago
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