Data Engineer at Keystone | Washington, USA | Rezi

Data Engineer at Keystone

Data Engineer

Keystone · Washington, USA

1 months ago

Data Engineer

Keystone · Washington, USA

2 months ago
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About the Role

Lead the design and implementation of reproducible, scalable data workflows for Keystone’s data-intensive projects. Architect infrastructure, guide technical implementation, and develop reusable frameworks. This role supports cross-disciplinary teams in building robust, defensible, and automation-first data systems, serving as a senior individual contributor and mentor.

Responsibilities

  • Architect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).
  • Develop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).
  • Design data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.
  • Build and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.
  • Conduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables.
  • Partner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.
  • Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.
  • Support the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.
  • Contribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards.
  • Mentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.
  • Participate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.
  • Identify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.
  • Contribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).

Requirements

  • 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
  • Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
  • Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
  • Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.

Skills

  • Python
  • SQL
  • Airflow
  • dbt
  • Spark
  • Snowflake
  • BigQuery
  • Cloud architecture
  • Infrastructure as Code (Terraform, CloudFormation, or similar)
  • Version control
  • CI/CD workflows
  • Containerization (Docker, Kubernetes)
  • Power BI
  • Tableau
  • Streamlit

Location

  • New York City
  • Boston
  • San Francisco
  • Seattle
  • London
  • Dubai
  • Washington, D.C.

Work Type

  • Travel 10 – 25% depending on project assignments

Experience Level

  • Senior individual contributor

Education Level

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.

Salary/Compensations

  • $123,000—$175,025 USD

Benefits

  • Annual 401k contributions
  • Competitive benefits package

About the Company

  • Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation.
  • Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems.
  • K.ATS Foundry is Keystone’s engineering center of excellence, embedding data, platform, and forensic expertise into the firm’s most complex and high-impact projects.
  • Foundry builds secure, reusable infrastructure and scalable technical solutions that accelerate project delivery and ensure defensible, data-driven outcomes.
  • Our engineers work across disciplines—from automating data pipelines and managing cloud platforms to conducting forensic code investigations—helping every engagement start faster, run smoother, and deliver greater impact.

Equal Opportunity

  • At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging.
  • If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.