Remote Senior Data Engineer - AWS Lakehouse & AI

Onward Legal Innovation

Columbia (SC)

Remote

USD 170,000 - 200,000

Full time

7 days ago
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Job summary

Onward Legal Innovation seeks a Senior Data Engineer to advance a global law firm's data and AI transformation. You will design AWS-based data lakes/lakehouses, ingest from enterprise systems, and create high‑quality datasets for analytics and AI/ML in a regulated environment.

The role is primarily remote, but you must reside within about 1.5 hours of Washington DC and be eligible to work in the US. Competitive salary and bonus.

Qualifications

  • 10+ years enterprise data engineering experience.
  • Experience with large-scale data transformation or cloud modernisation.
  • Hands-on with AWS data platforms and services.
  • Experience building data lakes, warehouses and lakehouse architectures.
  • Experience with data pipelines for AI/ML, embeddings, vector databases and RAG.

Responsibilities

  • Design and build scalable AWS-based data platforms, and potentially other data stacks.
  • Build distributed processing workloads with tools like Amazon EMR, Spark and Databricks.
  • Consolidate data from multiple enterprise applications into centralised data platforms.
  • Build and optimise scalable ETL/ELT pipelines.
  • Create curated, model-ready datasets for analytics, reporting and AI/ML.
  • Implement data quality, lineage, metadata and governance standards.
  • Work with internal stakeholders and external vendors to shape technical solutions and integrations.
  • Navigate changing requirements and bring structure to complex, ambiguous problems.
  • Help shape technical standards and mentor other data engineers.

Skills

Data engineering 10+ yrs
Cloud data platforms
AI/ML data ingestion
Python
SQL
ETL/ELT
Data governance

Tools

Amazon EMR
Databricks
Apache Spark
Airflow
Kinesis

Job description

Onward Legal Innovation seeks a Senior Data Engineer to advance a global law firm's data and AI transformation. You will design AWS-based data lakes/lakehouses, ingest from enterprise systems, and create high‑quality datasets for analytics and AI/ML in a regulated environment.

The role is primarily remote, but you must reside within about 1.5 hours of Washington DC and be eligible to work in the US. Competitive salary and bonus.

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