2 Keystone Software Developer Jobs Hiring Near You

Job Summary:
Keystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and develop reusable frameworks to support data-intensive projects across the firm.
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.
Qualifications:
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.
Company:
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. Founded in 2003, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.