Senior Data Engineer

Job Description
Full-time opportunity for a Senior Data Engineer to join a premier economics, technology, and strategy consulting firm. This role sits within a specialized engineering center of excellence focused on building scalable data platforms, cloud infrastructure, and automation frameworks that support complex business, regulatory, litigation, and analytics engagements.
This is a highly technical, high-impact role for an experienced data engineer who enjoys architecting systems from the ground up. You'll work at the intersection of data engineering, platform design, and applied analytics, partnering with economists, data scientists, and engineering teams to build reusable, defensible, and scalable solutions. The position offers the opportunity to influence engineering standards, mentor peers, and contribute to cutting-edge initiatives involving cloud infrastructure, automation, and emerging AI technologies.

Required Skills & Experience

8+ years of experience in Data Engineering, Data Infrastructure, or Software Engineering
Deep expertise in Python and SQL
Strong experience with modern data stack technologies including Airflow, dbt, Spark, Snowflake, BigQuery, or similar platforms
Experience architecting and optimizing large-scale data systems
Strong understanding of cloud architecture across AWS, Google Cloud Platform, Azure, or similar environments
Experience with Infrastructure as Code tools such as Terraform or CloudFormation
Experience with version control, CI/CD pipelines, Docker, and Kubernetes
Strong communication skills and ability to work with technical and non-technical stakeholders
Bachelor's degree or higher in Computer Science, Engineering, or a related field

Desired Skills & Experience

Previous consulting or professional services experience
Experience building reusable frameworks, internal tools, or automation libraries
Familiarity with data governance, lineage tracking, and privacy-preserving technologies
Experience with BI and analytics tools such as Power BI, Tableau, or Streamlit
Exposure to AI/ML data pipelines, LLM evaluation frameworks, or text analytics systems
Experience mentoring engineers and leading technical initiatives

What You Will Be Doing

Tech Breakdown

40% Data Engineering & Pipeline Development
25% Cloud Infrastructure & Platform Engineering
20% Architecture, Automation & Framework Development
15% Analytics, Visualization & Emerging AI Technologies

Daily Responsibilities

75% Hands On
10% Mentorship & Technical Leadership
15% Team Collaboration

Architect and implement scalable data pipelines and cloud-native infrastructure
Design reproducible workflows using orchestration and Infrastructure as Code tools
Develop performant data models and storage systems for large-scale analytics workloads
Build reusable templates, frameworks, and automation assets used across multiple projects
Conduct code reviews and establish engineering best practices
Partner with economists, consultants, and data scientists to deliver scalable data solutions
Collaborate with platform and forensic engineering teams on integrated technical initiatives
Support the development of reporting, analytics, and visualization tools
Mentor junior engineers and contribute to technical standards and documentation
Evaluate emerging technologies and identify opportunities for innovation across the engineering organization

The Offer

Competitive salary plus annual 401(k) contributions

You will receive the following benefits:

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) Contributions
Professional Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.