Senior Data Engineer 2026 - US

Aimpoint Digital; Sandy Springs (GA); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Aimpoint Digital is seeking a Senior Data Engineer to act as a trusted data and AI advisor for clients, translating business questions into AI-ready data architectures and platforms.

You will design modern data platforms, implement ELT/ETL pipelines, and collaborate with analytics, data science, and ML teams to productionize AI-enabled analytics while leveraging Snowflake, Databricks, and related tooling.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• 3+ years working with relational databases and query languages.
• 3+ years building data pipelines in production across structured, semi-structured and unstructured data.
• 3+ years data modeling (e.g. star schema, entity-relationship).
• 3+ years writing clean, robust code in Python, Scala, Java, or similar languages.
• 2+ years' experience with dbt Core and/or dbt Cloud preferred.
• Experience with AI tools to accelerate data engineering workflows preferred.
• Experience with cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift, Synapse) preferred.

Responsibilities

• Become a trusted data and AI advisor to clients, translating business questions into AI-ready data architectures.
• Design and implement AI-optimized data platforms including cloud data warehouses and lakehouses.
• Build and evolve semantic and analytical layers powering BI tools and AI copilots.
• Engineer ELT/ETL pipelines for structured, semi-structured, and unstructured data.
• Collaborate with analytics, data science, and ML teams to productionize AI-enabled analytics.
• Write production-grade SQL, Python, and Spark code following CI/CD and version control practices.
• Contribute to internal accelerators, patterns, and client-ready architectures.

Skills

SQL

Python

Spark

Data modeling

ETL/ELT pipelines

Cloud data warehouses

dbt Core

Communication

DevOps

Big data

Education

Bachelor's degree in CS/Engineering/Math

Tools

Snowflake

Databricks

dbt

Fivetran

CI/CD

Kubernetes

Job description

You will:

• Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures

• Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries

• Design 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 workflows

• Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots

• Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications

• Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases

• Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption

• Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD

• Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration

• Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures

• Collaborate 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 algorithms

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 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 experience

• Experienced at partnering with business stakeholders, explaining technical concepts clearly, and shaping solutions around real business outcomes

• Passionate about modern data engineering and AI trends, including LLM powered analytics, semantic layers, vectorized data access, and metadata-driven architectures

• Strong written and verbal communication skills required

• 3+ years working with relational databases and query languages

• 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data

• 3+ years data modeling (e.g. star schema, entity-relationship)

• 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages

• 2+ years' experience with dbt Core and/or dbt Cloud preferred

• Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred

• Comfortable working independently on individual workstream, owning end-to-end delivery from design through production

• Expertise in software engineering concepts and best practices

• DevOps experience preferred

• Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)preferred

• Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)preferred

• Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred

• Experience working with Apache Spark preferred

• Experience preparing data for analytics and following a data science workflow to drive business results preferred

• Consulting experience strongly preferred

• Willingness to travel

We 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.