Data Engineer

Keystone is a premier strategy and economics consulting firm solving the most complex challenges of competition, strategy, and intellectual property for leading technology firms and global brands. We work at the forefront of influential technology cases changing consumer behavior and regulation laws and impacting society on a global scale. Keystone brings an interdisciplinary approach, leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.

This is an entry-level position with the ability to grow quickly.

Responsibilities

As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure and systems, and addressing various data engineering and data science needs of our client-facing teams with data-driven approaches. Your expertise in data engineering will play a pivotal role in enabling data-driven solutions and empowering our team of analysts and consultants. Your responsibilities will include:

• Assist client-facing teams with big data requests and challenges by building reproducible data pipelines and downstream analytic processes to derive value for the teams.
• Evaluate client needs and propose suitable recommendations. Support projects to implement tailored solutions with automating manual processes, optimizing data delivery, designing infrastructure for scale, etc.
• Leverage the appropriate infrastructure required for optimal extraction, transformation, and loading (ETL/ELT) of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Help create, maintain, and implement in-house tools, libraries, and systems to increase the efficiency and scalability of the team.
• Build tools and APIs to deploy data science and machine learning systems at scale on projects.
• Work closely with cross-functional teams of data scientists, engagement managers, and consultants to identify areas of opportunity and value.

Qualifications

• 2-5 years experience working on data analysis, data science, ETL/ELT on large datasets.
• Advanced proficiency working with data analysis languages (Python, R, SQL)
• Experience with orchestration and big data tools including Airflow, Snowflake, dbt, Spark, etc.
• Knowledge of the Software Development Lifecycle principles and interest in applying to a fast-paced, data-focused role.
• Experience with version control (git) workflows required
• Capacity to work within complex systems and large data sets
• Prior experience at a matrix-based organization or consulting firm is a plus.
• Experience with CI/CD pipelines preferred
• Knowledge of general AI/ML/NLP concepts
• Experience with LLM, vector databases, RAG is a plus
• Experience with GCP,AWS, or Azure cloud services a plus
• A desire to be a part of and help grow a great team and organization
• The passion to learn, grow, and help us to improve our business
• Bachelor’s degree; Ability to quickly adapt to new technologies

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 Strategy.

US Salary Range: $130,000 – $135,000, 401k contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, qualifications.