Senior Data Engineer

Job Description

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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.