Senior Analytics Engineer - Data & AI Solutions

Slalom; Washington (District of Columbia); Hybrid; USD 106,000 - 135,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Job summary

Slalom is seeking an Analytics Engineer within the Data Experience practice to bridge business needs and technical data solutions. You will design semantic layers, blend BI tools with open-source tech, and translate requirements into scalable data models.

You will collaborate across roles to ensure data quality and governance while staying current with AI and modern data architectures. The role is hybrid and client-facing with travel, offering a comprehensive benefits package and transparent

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a related field.
• 3 - 5 years of leading project teams and complex work streams.
• Proficiency in SQL and/or Python; experience with semantic layer tools and analytics platforms (e.g., dbt, Looker, Power BI, Tableau, Sigma).
• Strong understanding of data modeling, ETL processes, and analytics solution design.
• Strong problem-solving skills and the ability to translate business needs into technical solutions.
• Fluency in white boarding and design solutions for data mapping and user experience requirements.
• Exposure to or interest in AI/ML integration and modern data architectures.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and modernize semantic layers to enable self-service analytics, AI, and cross-platform reporting.
• Design and develop data-rich applications that blend standard software with open-source technologies (e.g., Streamlit).
• Facilitate design and requirements sessions with business and technical teams, translating insights into actionable data models and technical solutions.
• Develop and optimize data models using SQL, Python, or other relevant languages.
• Collaborate with data engineers, data scientists, and stakeholders to ensure data quality, usability, and alignment with business goals.
• Implement best practices for data integration, governance, and analytics enablement.
• Contribute to the delivery of integrated analytics experiences, moving beyond traditional dashboards to deliver holistic, user-centered solutions.
• Stay current with emerging tools and techniques in analytics engineering, AI, and data platforms.

Skills

SQL

Python

Data modeling

Stakeholder collaboration

Communication

Tools

dbt

Looker

Power BI

Tableau

Sigma

Job description

Slalom is seeking an Analytics Engineer within the Data Experience practice to bridge business needs and technical data solutions. You will design semantic layers, blend BI tools with open-source tech, and translate requirements into scalable data models.

You will collaborate across roles to ensure data quality and governance while staying current with AI and modern data architectures. The role is hybrid and client-facing with travel, offering a comprehensive benefits package and transparent