Managing Consultant, Data Engineer

Thought Logic Consulting

Atlanta (GA)

On-site

USD 115,000 - 140,000

Full time

5 days ago
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Job summary

Thought Logic Consulting is a data-driven consultancy focused on business transformation and technology innovation. We are seeking a Data Engineer with 7–12 years of experience to join our Atlanta, GA team and help clients unlock insights from their data.

You will build scalable data pipelines, develop ETL/ELT processes, and collaborate with cross-functional teams in a client-facing environment to deliver reliable data solutions.

Qualifications

  • 7–12 years of professional data engineering or analytics experience.
  • Strong SQL skills and Python or similar scripting language.
  • Hands-on with ETL/ELT using modern data tools and cloud platforms.
  • Knowledge of data modeling, data quality, and performance tuning.
  • Experience with cloud data platforms (Azure, AWS, Snowflake, Databricks).
  • Ability to collaborate with stakeholders and work in fast-paced projects.

Responsibilities

  • Build and maintain scalable data pipelines using Azure Data Factory, AWS Glue, or Palantir Foundry.
  • Develop ETL/ELT processes to prepare data for reporting and analytics.
  • Collaborate with teams and clients to gather requirements and ensure data quality.
  • Assist in data models and cloud-based data platforms (Snowflake, Databricks, Redshift).
  • Support dashboards and visualizations with Power BI or Tableau.
  • Participate in testing, documentation, and deployment for reliability.
  • Engage in project workstreams with senior team members and client interaction.
  • Learn and apply modern data engineering and cloud practices across industries.

Skills

SQL
Python
ETL/ELT
Data modeling
Cloud environments
Communication
Problem solving
Team collaboration

Education

Bachelor’s degree in Computer Science/Data Engineering/Information Systems

Tools

Azure Data Factory
AWS Glue
Snowflake
Databricks
Power BI
Tableau
Palantir Foundry

Job description

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 Engineer with 7-12 years of experience to join our growing Data & Analytics team based in Atlanta, GA. 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
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • 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
  • 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
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases
Who You'll Work With
  • 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
What You'll Bring
  • 7-12 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
  • Currently reside in Atlanta, GA or willingness to relocate at your expense.
  • 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 engineering technologies
  • Previous consulting firm experience
Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake
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