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The Brattle Group · 6 days ago

Senior Data Engineer (Applied ML / Analytics)

Boston, MA

Full-time

Onsite

Mid, Senior Level

$105K/yr - $120K/yr

4+ years exp

The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied ML / Analytics) to join our Boston, MA office. The role emphasizes translating client questions into workable analytical approaches, bridging data engineering and data science, and leading technical workstreams for both client and internal projects.

ConsultingFinancial Services

No H1B

Hiring Manager

Kylie (O'Connor) Powers

Responsibilities

Define and lead technical workstreams for client and internal projects, including analytical approach, technology selection, scope definition, and estimation

Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths

Exercise independent judgment in ambiguous situations, evaluating modeling approaches and technical trade-offs, and articulating clear recommendations to project teams, principals, and clients

Bridge data engineering and data science by translating client questions and messy data into appropriate analytical methods, and determining when classical ML, generative AI, or simpler approaches are warranted

Identify gaps in existing capabilities and research, prototype, and evaluate new tools or methods to address them

Develop proof-of-concept solutions and structure handoff plans for junior engineers to implement and scale

Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability

Write reproducible Python-based scripts for data analysis, unstructured text processing, and exploratory modeling as needed

Contribute to internal training and documentation, sharing approaches, lessons learned, and recommended practices

Coordinate with IT as needed on software licensing and deployment of new technologies

Qualification

PythonMachine LearningData EngineeringSQLAzureVersion Control (Git)MentorshipCommunicationAdaptability

Required

Bachelor's Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus

4–6 years of professional development experience, with a focus on data engineering or related fields

Proven track record in delivering complex data engineering projects on time and within scope

Demonstrated ability to research, pilot, and implement new technologies or methodologies

Expert-level proficiency in Python for data processing, automation, and scripting

Deep familiarity with machine learning concepts (e.g., predictive modeling, classification, generative AI, vector search)

Solid experience with SQL and performance optimization (indexing, query tuning)

Experience with Azure (or comparable cloud platforms) for data storage, pipelines, and services

Familiarity with modern data formats (e.g., CSV, Parquet, JSON) and associated transformations

Hands-on experience with version control (Git) and CI/CD pipelines

Ability to assess project requirements and select the most appropriate data engineering tools, and identify gaps or limitations where no suitable tool or approach exists

Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members

Able to translate complex technical concepts into actionable solutions

Communicate complex limitations or risks proactively and with polish, ensuring stakeholders have confidence in proposed approaches

Ability to manage multiple parallel workstreams in a fast-paced environment

Flexible mindset to adapt to changing project priorities and client needs