Guidehouse
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Guidehouse. Skills: Data Engineering, Data Science, Machine Learning, Business Intelligence. Conduct ETL/ELT. Conduct data quality analysis”
What You'll Achieve.
Maximize data value; Automate business processes; Enable mission critical insights; Enable data-driven decision making; Reduce cost and complexity; Increase trust; Improve operational effectiveness
Industry & Context.
Problem-solving skills
Active Secret clearance, Up to 10% travel, Ability to work onsite
What They're Looking For.
Must Have
Active Secret clearance, Bachelor's degree, 4+ years in data or IT, 2+ years in data engineering, Experience with SQL, Experience developing data pipelines, Experience moving data with Python, Data quality management experience, Ability to work 3 days onsite
Nice to Have
Master's degree in computer science, Understanding of data storage types, Experience with system logs, Experience in cloud databases, Experience with Tableau, Experience with Power BI, Proficiency in acquisition datasets, Proficiency in programming languages, Proficiency developing dashboards, Familiarity with DevOps, Familiarity with container technologies, Ability to implement automation, Ability to implement CI/CD, Experience with microservices architecture, Experience with API gateways, Technical expertise with data models, Technical expertise with data mining, Technical expertise with data cleansing, Technical expertise with segmentation, Experience with Git, Ability to code stored procedures, Ability to debug stored procedures, Excellent problem-solving skills, Attention to detail, Communication skills, Collaboration skills, Ability to work in a team
What You'll Do.
Conduct data quality analysis
Manage ETL/ELT functions
Develop data pipeline architectures
Build data pipeline architectures
Test data pipeline architectures
Maintain data pipeline architectures
Develop integrated data pipelines
Build integrated data pipelines
Develop models to measure performance
Build models to measure performance
Work in cloud-based databases
Work in ETL/ELT architecture
Design distributed systems
Build distributed systems
Work with data integration tools
Work with data management tools
Develop data visualizations
Develop data governance documentation
Maintain data governance documentation
Develop data governance tools
Maintain data governance tools
Develop data governance templates
Maintain data governance templates
Work with Palantir Foundry
How You'll Work.
Team & Collaboration
Federal client work; Defense & Security AI & Data team
Full Job Description
**_Job Family_ :** Data Engineering & Architecture Consulting, Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** Active Secret Job Posting ** _What You Will Do:_** Our consultants on the Defense & Security AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. * Conduct ETL/ELT and data quality analysis using various technologies (i.e., Python, Databricks, Palantir Foundry). * Manage ETL/ELT functions and develop, build, test, and maintain scalable data pipeline architectures and tools. * Develop integrated data pipelines and models to measure program performance and report on progress * Work in cloud-based databases and ETL/ELT architecture. * Design and build distributed systems for scalability and security. * Work with data integration and management tools and databases. * Demonstrate strong understanding of relational databases, columnar data warehouses, data lakes, NoSQL, and other storage types. * Develop intuitive, attractive, and interactive data visualizations using large data sets to create dashboards, using tools such as Tableau and Power BI, for a diverse set of users with varying technical capabilities. * Develop and maintain data governance documentation, tools, and templates. * Work with Palantir Foundry and Databricks. We are actively hiring for this role at multiple levels (Associate, Senior, and Lead) to support ongoing and upcoming federal client w
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