Managing Consultant, Data Engineer

Thought Logic Consulting

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-12 years of experience in data engineering or analytics
  • Proficient in SQL and working knowledge of Python
  • Hands-on experience with modern data tools such as Azure Data Factory or Snowflake
  • Familiarity with cloud environments like AWS or Azure
  • Understanding of data integration and quality principles
  • Strong problem-solving and communication skills
  • Bachelor's degree in Computer Science or a related field

Responsibilities

  • Build and maintain scalable data pipelines
  • Develop ETL/ELT processes for data transformation
  • Collaborate to gather requirements and ensure data quality
  • Assist in optimizing cloud-based data models
  • Support the creation of dashboards and visualizations
  • Participate in testing and deployment of data solutions
  • Engage in project workstreams for client interaction

Benefits

  • Supportive environment emphasizing mentorship and professional growth
  • Opportunity to work with experienced architects and consultants
  • Exposure to various industries and data challenges
  • Collaborative team focused on solving complex business problems
  • Chance to develop technical and consulting skills in a client-facing role
Full Job Description
Managing Consultant, Data Engineer

Department: Data Analytics

Employment Type: Full Time

Location: Atlanta

The RoleWe 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 engineeringtechnologies
  • Previous consulting firm experience


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