• 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.

Originally posted on Himalayas