Thought Logic Consulting

Project leadership and business intelligence consulting

Data / Analytics Engineer

Data EngineeringUpdated on Nov 13

Full-timeAtlanta, GA, USANo salary listedHybrid

About the Job

Requirements

At least 1 year 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, and 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.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
Ability to legally work for any employer in the United States without sponsorship.

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, or Redshift.
Support the creation of dashboards and data visualizations using Power BI or Tableau.
Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability.
Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices.

Desired Qualifications

Experience with tools such as 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.

Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

The Role

We are looking for a technically skilled and motivated Data / Analytics Engineer with 2-5 years of experience to join our growing Data & Analytics team in Atlanta. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do

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 like Azure Data Factory, AWS Glue, or Palantir Foundry
Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices

A team of collaborative, experienced consultants focused on solving complex business problems through data
Clients across industries who are looking to modernize their data platforms and make more informed decisions
Colleagues who prioritize curiosity, humility, and hands-on problem-solving
A supportive environment where ongoing learning and mentorship are central to your professional growth

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 (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
Understanding of data integration, quality, and performance tuning principles
Ability to work collaboratively on fast-paced projects with a mix of 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

Bonus Points If You Have

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

About the Company

Thought Logic Consulting

Project leadership and business intelligence consulting

Thought Logic Consulting helps organizations improve operational efficiency through large project implementations, business intelligence, and business transformation. It delivers project leadership, BI, and transformation by applying logic-based solutions that speed up projects, reduce costs, and boost overall performance, using reporting and analytics to drive better decisions. The firm differentiates itself with a team of seasoned consultants drawn from firms like Deloitte, IBM, PwC, and Accenture, and by offering a unique operating model and tailored, practical solutions rather than generic approaches. The goal is to help clients become more productive, save money, and reinvest the savings into other areas by delivering measurable results on their initiatives.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Atlanta, GA
Founded: 2014

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