Consultant, Data Engineer- Atlanta

Thought Logic Consulting • Atlanta, GA

2d

About The Position

Thought Logic Consulting is a functionally led, digitally enabled consultancy working at the intersection of business transformation and technology innovation. It partners with clients to solve complex business problems through a collaborative, local-market approach.

The Data Engineer will join the growing Data & Analytics team in Atlanta and work with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients gain insights from their data. The role is supported by experienced architects and consultants and offers opportunities to develop technical and consulting skills in a collaborative, client-facing environment.

The position involves developing ETL/ELT processes, integrating data sources, maintaining data quality, supporting cloud-based data platforms and data models, and contributing to dashboards and visualizations. The engineer will also participate in testing, documentation, and deployment and work on project workstreams with senior colleagues.

Requirements

• 1–5 years of professional experience in data engineering, analytics, or a related technical role.
• Proficiency in SQL and working knowledge of Python or another scripting language.
• Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks.
• Familiarity with cloud environments such as AWS, Azure, or Palantir Foundry, or similar, and with data modeling concepts.
• Understanding of data integration, quality, and performance-tuning principles.
• Ability to work collaboratively on fast-paced projects with technical and non-technical stakeholders.
• Strong problem-solving and communication skills.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Ability to legally work for any employer in the US without sponsorship.

Nice To Haves

• Experience with Apache Airflow, dbt, or Palantir Foundry.
• Familiarity with big data technologies such as Spark, Kafka, or Redshift.
• Exposure to dashboarding and visualization tools such as Power BI or Tableau.
• Certifications in cloud platforms or data engineering technologies.
• Previous consulting firm experience.

Responsibilities

• Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications.
• Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality.
• Build and maintain scalable, reliable data pipelines using tools such as Azure Data Factory, AWS Glue, or Palantir Foundry.
• Assist in developing and optimizing data models and cloud-based data platforms such as Snowflake, Databricks, and Redshift.
• Support the creation of dashboards and data visualizations using tools such as Power BI or Tableau.
• Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability.
• Engage in project workstreams alongside senior team members, gaining exposure to client interaction and delivery best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level