Data Engineer - Guidehouse Digital LLC
Overview
Guidehouse Digital seeks a Data Engineer to lead development and maintenance of data pipelines and cloud platforms. This early-career professional will build ETL processes and support analytics solutions while collaborating with cross-functional teams. The role emphasizes continuous learning and impact within a dynamic environment.
What You'll Do11
- 1Design and implement scalable data pipelines using Python SQL and PySpark
- 2Develop and optimize ETL/ELT workflows for data ingestion transformation and loading
- 3Maintain and enhance data models databases and cloud solutions on AWS and Azure
- 4Lead data integration migration and modernization projects with senior engineers
- 5Create scripts queries and applications to support data processing needs
- 6Monitor pipeline performance identify issues and drive troubleshooting resolutions
- 7Perform data validation and quality assurance to ensure accuracy and reliability
- 8Collaborate with engineers and stakeholders to deliver high-quality data solutions
- 9Document technical processes data flows and system configurations
- 10Contribute to CI/CD pipelines using Git and Agile methodologies
- 11Analyze and resolve system bottlenecks to improve efficiency
Requirements18
- 1Obtain and maintain Federal or DHS Public Trust clearance
- 2Bachelor's degree in Computer Science Data Science Engineering Mathematics or related field
- 3Foundational knowledge of Python Java or SQL programming languages
- 4Basic understanding of relational databases and data querying concepts
- 5Familiarity with AWS or Azure platforms through coursework certifications or experience
- 6Exposure to data integration ETL data warehousing or analytics concepts
- 7Internship or project experience involving data engineering cloud computing or software development
- 8Knowledge of Databricks Spark or large-scale data processing technologies
- 9Version control proficiency with Git
- 10Understanding of software development lifecycle and Agile practices
- 11Strong analytical problem-solving and troubleshooting abilities
- 12Effective verbal and written communication skills
- 13Familiarity with AWS services like S3 Lambda Redshift or Azure Data Factory
- 14Experience with data visualization tools such as Power BI Tableau or Kibana
- 15Certifications in AWS Azure Databricks or related cloud/data technologies
- 16Background supporting healthcare public sector or federal clients
- 17Interest in data architecture machine learning AI or advanced analytics
- 18Previous consulting client-facing or cooperative education experience
Salary Insight
$53 - $88k per year
Location
Required Skills
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