Managing Consultant, Data Engineer
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-09-16
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-16
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
- 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 work streams 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
- 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
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 Engineering
- ETL/ELT Processes
- SQL Proficiency
- Azure Data Factory
- AWS Glue
- Data Pipeline Development
- Data Modeling
- Data Integration
- Performance Tuning
- SQL
- Python
- ETL/ELT
- Cloud Environments
- Data Quality
- Data Visualization
- Problem-Solving
- Communication
- Collaboration
- Cloud Platform Certifications
- Data Engineering Certifications
- Data Engineering
- Analytics
- Data Quality
- Data Integration
- Consulting
- Azure Data Factory
- AWS Glue
- Snowflake
- Databricks
- Power BI
- Tableau
- Apache Airflow
- Dbt
- Palantir Foundry
- Redshift
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