Managing Consultant, Data Engineer

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 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 Core Competencies 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 ATS Optimization Keywords Hard Skills Data Pipeline Development Data Modeling Data Integration Performance Tuning SQL Python ETL/ELT Cloud Environments Data Quality Data Visualization Soft Skills Problem-Solving Communication Collaboration Certifications & Qualifications Cloud Platform Certifications Data Engineering Certifications Industry Keywords Data Engineering Analytics Data Quality Data Integration Consulting Tools & Technologies Azure Data Factory AWS Glue Snowflake Databricks Power BI Tableau Apache Airflow Dbt Palantir Foundry Redshift #J-18808-Ljbffr Jobtailor