• 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 Lead Data Engineer, you will be expected to work independently on client engagements or to lead small team project delivery, 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

• Experience with managing stakeholders and collaborating with customers

• Strong written and verbal communication skills required

• 5+ years working with relational databases and query languages

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

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

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

• 5+ years’ experience with dbt Core/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

• Ability to manage an individual workstream independently and ability to manage a small 1-2 person team

• Expertise in software engineering concepts and best practices

• DevOps experience required

• Experience working with cloud data warehouses (Databricks or Snowflake required)

• 1 or more certifications in either Databricks or Snowflake strongly 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