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Managing Consultant -Data and Analytics

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Thought Logic Consulting
Full Time position
Listed on 2026-03-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Thought Logic is a digital-enabled consultancy that delivers people‑centric, transformational solutions for industries of all shapes and sizes. We like to bring a Challenge the Expected philosophy, combining extensive domain expertise and experience with a unique client‑first approach to offer clients a broad range of capabilities through a truly immersive consulting experience.

About

The Role

We are looking for a technically skilled and motivated Data Engineer with 5-10 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 work streams 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
  • 5-10 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, 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

Thought Logic is an equal opportunity employer. Thought Logic prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status or any other characteristic protected by law. Thought Logic conforms to the spirit as well as to the letter of all applicable laws and regulations.

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