Data Engineer

Washington, DC

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Job Type Full-time Description

Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation. 

 

*** FULLY REMOTE - UNITED STATES RESIDENTS ONLY ***


We are seeking a skilled Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform:


POSITION DESCRIPTION:

In this role, you will be pivotal in supporting our federal customer in building exciting, innovative, and consolidated BI solutions by developing and refining various data workflows and dashboards. You will be joining a team helping to consolidate and simplify complex data streams across the organization and your work will directly empower senior leadership with a comprehensive, real-time understanding of the organization, arming them with the information needed to make strategic decisions. You will need to be capable of:

  • Translating business requirements into technical specifications to create insightful and interactive business intelligence dashboards that drive decision-making
  • Have a keen eye for detail, a strong analytical mindset, and the ability to work independently and effectively in a dynamic environment
  • Critical thinking and being a perpetual learner who seeks exposure to new challenges and builds skillsets across a range of technologies.

Key Responsibilities:

  • Design, develop, and maintain data pipelines and Power BI dashboards, ensuring data presented is accurate and up to date
  • Understand business stakeholders’ data visualization needs and translate them into technical tasks
  • Perform ETL using Python and various other technologies on structured, unstructured, and semi-structured data from various sources into relational databases
  • Support end-user access and training of any reports and dashboards
  • Create and maintain documentation for solutions such as report specifications, data dictionaries, step-by-step workflows, and data models created
  • Serve as the lead and main developer for projects, acting as the main point of contact for customers; includes presenting work in front of customers and leadership
Requirements

  

MINIMUM QUALIFICATIONS:

  • Must be a US Citizen
  • Must be able to obtain a Public Trust Clearance
  • 2+ years of experience using Python to automate data pipelines, manipulate data, and draw insights from large datasets
  • 2+ years of experience utilizing SQL to query, manipulate, and interact with relational databases


REQUIRED SKILLS/EXPERIENCE:

  • Experience designing and implementing relational data models
  • 2+ years of experience developing dashboards using visualization tools
  • Experience working with Power BI
  • Experience writing DAX and familiarity with M
  • Experience working in cloud environments such as AWS or Azure
  • Experience with serverless capabilities
  • Work comfortably in version control systems, such as Git Repositories
  • Solid familiarity with CI/CD pipelines and DevOps best practices
  • Experience working in an Agile methodology specifically Scrum and/or Kanban
  • Excellent communication and interpersonal leadership skills

DESIRED SKILLS/EXPERIENCE:

  • Prior professional services or federal consulting experience
  • Experience supporting Department of Homeland Security is highly preferred
  • Experience with the Atlassian suite (Jira/Confluence)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AWS Azure Business Intelligence CI/CD Confluence Consulting Data Analytics Data pipelines Data visualization DevOps ETL Git Jira Kanban Machine Learning Pipelines Power BI Python RDBMS Scrum Security SQL

Regions: Remote/Anywhere North America
Country: United States

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