Senior Analytics Engineer 2026 - US,UK

Aimpoint Digital•Atlanta, GA

4d•Remote

About The Position

Do you enjoy working with clients from different industries to investigate complex business problems and designing end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights? Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal analytics solutions. You will: Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications Who you are: We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical products and trusted datasets that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices. As a Senior Analytics Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

Requirements

Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
Experience with managing stakeholders and collaborating with customers
Strong written and verbal communication skills required
3+ years working with relational databases and query languages, with deep expertise in SQL
3+ years of data modeling experience, including dimensional modeling, star schema, entity-relationship design, and analytics-focused modeling best practices
3+ years building data pipelines in production, with the ability to work across structured, semi-structured and unstructured data
3+ years writing clean, maintainable, and robust code in SQL and/or Python
2+ years' experience with dbt Core and/or dbt Cloud required
Ability to manage an individual workstream independently
Expertise in software engineering concepts and best practices, including version control, testing, documentation, and CI/CD

Nice To Haves

Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.) preferred
Experience working with cloud platforms such as AWS, Azure, or GCP preferred
Experience defining metrics, semantic layers, and reusable business logic for analytics consumption preferred
Familiarity with modern BI and visualization platforms such as Power BI, Tableau, or Sigma preferred
Experience enabling or accelerating analytics engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
Consulting experience strongly preferred

Responsibilities

Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions
Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries
Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases
Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD
Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance
Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code
Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications
work independently on client engagements
take part in the development of our practice
aid in business development
contribute innovative ideas and initiatives to our company