Principal Consultant, Data Engineer - Atlanta

Thought Logic Consulting

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or related technical field
  • Proficient in SQL with knowledge of Python or similar scripting languages
  • Hands-on experience with ETL/ELT processes using tools like Azure Data Factory or AWS Glue
  • Familiar with cloud environments such as AWS or Azure and data modeling concepts
  • Strong understanding of data quality and performance tuning principles
  • Ability to collaborate with both technical and non-technical team members
  • Bachelor's degree in Computer Science, Data Engineering, or a related field

Responsibilities

  • Build and maintain scalable, reliable data pipelines
  • Develop ETL/ELT processes for data preparation
  • Collaborate with clients to gather requirements and ensure data quality
  • Assist in data modeling and optimization of cloud-based platforms
  • Create dashboards and visualizations using Power BI or Tableau
  • Participate in testing and documentation of data solutions
  • Engage in project work alongside senior team members for client interaction

Benefits

  • Ongoing learning and mentorship opportunities
  • Collaborative work environment with experienced consultants
  • Exposure to diverse industries and data challenges
  • Focus on personal and technical growth
  • Access to modern data engineering practices and tools
Full Job Description
Principal Consultant, Data Engineer - Atlanta

Department: Data Analytics

Employment Type: Full Time

Location: Atlanta

Description

The RoleWe are looking for a technically skilled and motivated Data Engineer with 5+ years of experience to join our growing Data, Analytics & AI 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
  • 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
  • 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

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