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 / 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 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 • 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 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 • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the data and AI space

Requirements

Must-haves

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
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
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
Experience with tools like Apache Airflow, dbt, or Palantir Foundry
Familiarity with big data technologies such as Spark, Kafka, or Redshift

Nice-to-haves

Bonus Points If You Have

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureawssqlpythonai

Platform: pinpoint
Effort: medium