Managing Consultant, Data Engineer

Thought Logic Consulting; Richmond (VA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Ongoing learning and mentorship

Direct access to firm leadership

Job summary

Thought Logic Consulting is hiring a Managing Consultant, Data Engineer based in Richmond, VA. This role involves building scalable data pipelines and working collaboratively with clients to unlock insights from their data.

Ideal candidates have 7+ years of experience in data engineering, proficiency in SQL, and familiarity with cloud tools. The firm offers a supportive environment for professional growth and significant responsibility in transforming data practices.

Qualifications

• 7+ years of experience in data engineering or analytics.
• Hands-on experience with modern data tools.
• Ability to work with both technical and non-technical stakeholders.

Responsibilities

• Build and maintain reliable data pipelines.
• Develop ETL/ELT processes for data preparation.
• Collaborate with clients to ensure data quality.

Skills

Data Engineering

SQL

Python

ETL/ELT Processes

Data Modeling

Collaboration

Problem-solving

Communication

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Azure Data Factory

AWS Glue

Snowflake

Power BI

Tableau

Job description

Managing Consultant, Data Engineer

Department: Data Analytics

Employment Type: Full Time

Location: Richmond

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+ years of experience to join our growing Data & Analytics team based in Richmond, VA. 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+ 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 is scaling thoughtfully and intentionally, not just chasing growth for growth’s sake