Senior Analytics Engineer

🕒 April 11

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Aimpoint Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence • Analytics • Consulting

Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.

📋 Description

• 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

🎯 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 • 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.

🏖️ Benefits

• N/A