Data Engineering Consultant - Databricks (Fully Remote)

FormativGroup, LLC; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

FormativGroup is seeking a data engineer to translate business needs into scalable data solutions on Snowflake, Databricks, AWS, and Azure. You will build data pipelines and curated datasets for analytics and ML.

Collaborate with clients and teams, participate in code reviews, testing, and documentation to deliver reliable data products in a consulting environment. This role emphasizes proactive problem solving, clear communication, and the ability to manage multiple priorities.

Qualifications

• 3-5 years of data engineering experience with SQL, ETL/ELT, and cloud exposure.
• Familiarity with Databricks, Snowflake, or similar platforms.
• Strong problem-solving and communication skills.

Responsibilities

• Support client engagements and translate business needs into data solutions on Snowflake, Databricks, AWS, and Azure.
• Build data pipelines, ETL/ELT processes, and curated datasets for analytics and ML.
• Participate in code reviews, testing, and documentation.

Skills

SQL

ETL/ELT

Cloud exposure

Communication

Tools

Databricks

Snowflake

AWS

Azure

Job description

• Support client engagements and translate business needs into data solutions on Snowflake, Databricks, AWS, and Azure.
• Build data pipelines, ETL/ELT processes, and curated datasets for analytics and ML.
• Participate in code reviews, testing, and documentation.

What You'll Bring:

• 3-5 years of data engineering experience with SQL, ETL/ELT, and cloud exposure.
• Familiarity with Databricks, Snowflake, or similar platforms.
• Strong problem-solving and communication skills.

How You Work:

• Proactive, customer-oriented, and able to manage multiple priorities.
• Flexible and collaborative in a consulting-driven environment.

FormativGroup

We help organizations unlock the full value of their data, turning complexity into clarity and measurable outcomes. FormativGroup is a collaborative team of specialists enabling middle-market companies to take full advantage of technology investments across cloud, AI, and data strategy.