Managing Consultant, Data Engineer

Thought Logic Consulting

Data Engineer modernizing client data platforms and building scalable pipelines for Thought Logic Consulting. Collaborating with clients across industries on analytics, cloud solutions, and data-driven transformation.

Posted 8/18/2026full-timeDallas • Texas • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines, developing ETL/ELT processes, and optimizing cloud-based data platforms. Proficient in collaborating with diverse stakeholders to ensure data quality and effective reporting through visualization tools.

Highest-signal resume keywords

Data EngineeringETL/ELT ProcessesSQL ProficiencyAzure Data FactoryAWS Glue

ATS Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingData IntegrationPerformance TuningSQLPythonETL/ELTCloud EnvironmentsData QualityData Visualization

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

Azure Data FactoryAWS GlueSnowflakeDatabricksPower BITableauApache AirflowDbtPalantir FoundryRedshift

Certifications & Qualifications

Cloud Platform CertificationsData Engineering Certifications

Industry Keywords

Data EngineeringAnalyticsData QualityData IntegrationConsulting

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureCloudETLKafkaPythonSparkSQLTableau

About the role

Key responsibilities & impact

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 such as Snowflake, Databricks, and Redshift
Support the creation of dashboards and data visualizations using 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 across industries and use cases

Requirements

What you’ll need

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 including 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 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 Apache Airflow, dbt, or Palantir Foundry
Familiarity with Spark, Kafka, or Redshift
Exposure to Power BI or Tableau
Certifications in cloud platforms or data engineering technologies
Previous consulting firm experience

Benefits

Comp & perks

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
Ongoing learning and mentorship