Senior Data Engineer — AI-Driven Data Pipelines

L.E.K. Consulting

Boston (MA)

Hybrid

USD 135,000 - 165,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life and disability insurance
401(k) with employer contribution
HSA contributions
Paid time off
Hybrid work model

Job summary

L.E.K. Consulting seeks a Senior Data Engineer for its Data Science & Engineering team in Boston, focusing on large-scale data pipelines, AI solutions, and client engagements. You will translate complex tech work into measurable business outcomes, collaborating with data scientists and consultants.

Responsibilities cover end-to-end delivery, data infrastructure, and governance, with a hybrid work model across U.S. offices. Strong Azure, Python, and SQL skills are required.

Qualifications

  • 4+ years of applied data engineering experience delivering scalable solutions.
  • Strong Python and SQL skills with PySpark and Airflow familiarity.
  • Hands-on with cloud platforms (Azure preferred) and data warehousing.

Responsibilities

  • Lead end-to-end data engineering and AI/ML projects from concept to deployment.
  • Design data pipelines and models powering analytical and AI solutions.
  • Define data/AI strategies and roadmaps with clients.
  • Contribute to multi-agent AI engagements and automation workflows.
  • Guide data-driven insight integration into client workflows.

Skills

Data engineering
Data modeling
ETL/ELT
Python
SQL
Azure
Docker/Kubernetes
LLM/AI

Education

Degree in CS/Engineering

Tools

Azure
Spark
Snowflake
BigQuery
Redshift
Power BI
FastAPI
Docker
Kubernetes

Job description

L.E.K. Consulting seeks a Senior Data Engineer for its Data Science & Engineering team in Boston, focusing on large-scale data pipelines, AI solutions, and client engagements. You will translate complex tech work into measurable business outcomes, collaborating with data scientists and consultants.

Responsibilities cover end-to-end delivery, data infrastructure, and governance, with a hybrid work model across U.S. offices. Strong Azure, Python, and SQL skills are required.

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