Guidehouse

Guidehouse

Data Engineer

Aberdeen, Maryland, USA · full-time

No sponsorship$85k-$141kDetected 50 days ago
PythonDistributed SystemsSQLNoSQLDatabricksDockerKubernetesMachine LearningData AnalysisData EngineeringData ScienceData VisualizationCybersecurityCommunicationCollaborationProblem Solving

About the role

  • Provide and prepare data to enable data science and machine learning.

Responsibilities

  • Manage ETL/ELT functions and develop,build,test,and maintain scalabledata 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.
  • Gather requirements, design, implement, and test database systems.
  • 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.
  • Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting.
  • Develop and maintain data governance documentation, tools, and templates.
  • Maintain good working relationships with clients to enhance customer satisfaction and work with client management and staff to perform engagement services.
  • Experience designing and developing databases with Structured Query Language (SQL) and performing complex queries.
  • Experience developing complex data pipelines and extract? transform? load (ETL) processes.

Requirements

  • ship is required.
  • Bachelor's degree obtained 4+ years of experience in a data or IT discipline.
  • 2+ years of experience in data engineering.
  • Experience moving and manipulating data of different types and file types using Python.
  • Demonstrate strong understanding of relational databases, columnar data warehouses,data lakes, NoSQL, and other storage types.
  • providing and archiving required documentation
  • What You Will Need: ship is required.

Nice to have

  • Master?s degree in computer science or related field.
  • Strong understanding of different types of data storage.
  • Experience working with system and application logs.
  • Experience working in cloud-based databases and architecture.
  • Experience using business intelligence tools Tableau and/or Power BI to visualize large data sets.
  • Proficiency in querying and joining acquisition, programming and transactional datasets.
  • Proficiency in programming languages such as Python.
  • Proficiency developing dashboards using Tableau or Power BI.

Skills

  • Conduct ETL/ELT and data quality analysis using various technologies (i.e., Python, Databricks, Palantir Foundry).
  • Work with data integration and management tools and databases.

Compensation

  • $85k-$141k

Benefits

  • Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
  • Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event.
  • Benefits include:

Company info

  • 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.

Equal opportunity

  • If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at.
  • All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Visa & Work Authorization

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance

This listing is sourced directly from Guidehouse's careers page and normalized into a canonical job model.