Senior Data Engineer

Senior Data EngineerDo you enjoy working with clients from different industries to investigate complex business problems and to design 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 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 data engineering solutions.You will:Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stakeholders helping them translate business questions into AI-ready data architecturesWork independently as part of a small team to solve complex data engineering use-cases across a variety of industriesDesign and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflowsBuild and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI CopilotsUse modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certificationsEngineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use casesDesign modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumptionWrite production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CDApply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation accelerationContribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architecturesCollaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithmsWho 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 tools 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 Data 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.Degree educated in Computer Science, Engineering, Mathematics, or equivalent experienceExperienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomesPassionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architecturesStrong written and verbal communication skills required3+ years working with relational databases and query languages3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data3+ years data modeling (e.g. star schema, entity-relationship)3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages2+ years' experience with dbt Core and/or dbt Cloud preferredExperience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferredComfortable working independently on individual workstream, owning end-to-end delivery from design through productionExpertise in software engineering concepts and best practicesDevOps experience preferredExperience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferredExperience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferredExperience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferredExperience working with Apache Spark preferredExperience preparing data for analytics and following a data science workflow to drive business results preferredConsulting experience strongly preferredWillingness to travelWe are actively seeking candidates for full-time, remote work within the US. Atlanta applicants will have the opportunity to work from headquarters in Sandy Springs, GA.