Keystone AI · 3 hours ago
Staff Data Engineer
Boston, New York, San Francisco, Washington D.C.
Full-time
Hybrid
Senior Level, Lead/Staff
$135K/yr - $186K/yr
6+ years expKeystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Staff Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and mentor junior engineers while collaborating with cross-disciplinary teams to build robust data systems.
Artificial Intelligence (AI)ConsultingInformation TechnologyLegal
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)
Travel 10 – 25% depending on project assignments
Qualification
Required
6+ years of experience in data engineering, data infrastructure, or software engineering roles
Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent)
Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar)
Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes)
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
Bachelor's or advanced degree in Computer Science, Engineering, or related field
Preferred
Prior experience at a consulting firm or matrix-based organization
Experience developing internal libraries, frameworks, or automation solutions
Familiarity with data governance, lineage tracking, or privacy-preserving techniques
Exposure to AI/ML data pipelines, LLM evaluation, or text analytics systems
Benefits
Annual 401k contributions
Competitive benefits package
Company
Keystone AI
Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science.
201-500 employees
H1B Sponsorship
Keystone AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (21)
2023 (20)
2022 (23)
2021 (16)
2020 (9)
Funding
Current Stage
Growth StageTotal Funding
$100MKey Investors
RLH Equity Partners
2026-01-08Acquired
2021-07-29Private Equity· $100M
Leadership Team
Greg Richards
CEO
Bartley Tablante
Principal
Recent News
2026-01-09
2026-01-09
Company data provided by crunchbase