Principal Consultant, Data Engineer

Thought Logic Consulting

Data Engineer building scalable cloud pipelines and ETL/ELT solutions for Thought Logic Consulting clients. Collaborating on modern data platforms, models, dashboards, and analytics transformation projects.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data pipelines using Azure Data Factory, AWS Glue, and Palantir Foundry, along with proficiency in SQL and Python for ETL/ELT processes. Strong ability to collaborate with cross-functional teams to ensure data quality and deliver actionable insights through data modeling and visualization tools like Power BI and Tableau.

Highest-signal resume keywords

Data EngineeringETL/ELT ProcessesSQL ProficiencyAzure Data FactoryData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL/ELT ProcessesSQL ProficiencyPython ScriptingData ModelingData IntegrationPerformance TuningCloud 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 PipelinesData AnalyticsCloud-Based Data PlatformsData SolutionsConsulting Experience

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureCloudETLKafkaPythonSparkSQLTableau

About the role

Key responsibilities & impact

Build and maintain scalable, reliable data pipelines using 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 developing and optimizing data models and cloud-based data platforms such as Snowflake, Databricks, and Redshift
Support 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 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
Work with cross-functional teams and clients to solve complex business problems and unlock data insights

Requirements

What you’ll need

5+ years of 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
Knowledge of data modeling concepts
Understanding of data integration, data 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, Palantir Foundry, Spark, Kafka, Redshift, Power BI, or Tableau is a bonus
Cloud platform or data engineering certifications are a bonus
Previous consulting firm experience is a bonus

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
A supportive environment where ongoing learning and mentorship are central to your professional growth