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Senior Data Engineer(Python/Data Ops Engineer)

US-DC Metro

Full Time

Overview:

We are seeking a Senior Data Engineer(Python/Data Ops Engineer) to join our team. In this role, you will have the opportunity to work on modernization and technology transformation projects that will positively impact the critical missions of our government clients and solve challenges that aim to improve millions of lives across the globe.


Responsibilities:

  • Act as SME for customer-facing project delivery for business intelligence, data management, and data analytics projects aimed at government – Federal, State, and Local.

  • Architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, and build data models

  • Perform regular maintenance on Tableau servers to ensure optimal performance

  • License key management for Tableau Server & Desktop

  • Support proposal development, new customer demos, and other pre-sales activities

  • Oversee data ingesting into enterprise data mining solutions

  • Use your experience and leadership skills to motivate your teammates to deliver high quality results in a fast-paced work environment.


Skills & Qualifications:

  • Excellent oral and written communications skills and ability to interact with and present to stakeholders and all levels of management

  • Self-starter with sharp decision-making skills, ability to multitask, work independently, and prioritize in a fast-paced and changing environment

  • Ability to solve data and analytics problems using critical thinking and system design principles

  • Have demonstrated understanding of and experience with basic Role-based Access Control (RBAC) infrastructure and permissions engineering

  • Understanding of or experience with scripting and programming languages like Python/R

  • Strong understanding of Tableau Architecture and cloud platform, preferably MS Azure

  • Demonstrates technical expertise of leading data warehousing, business intelligence, reporting, data management and advanced analytics tools and concepts

  • Demonstrates experience with architecture & design of Azure and/or AWS based big data analytics solutions

  • Passionate about solving complex data architecture, data warehousing and advanced analytics problems

  • Conceptualizes and can effectively communicate viable technical solutions that meet customer objectives and project requirements within the cost and schedule constraints

  • Provide thought leadership for innovative data solutions to establish a standard industry language for analyzing new and emerging technologies

  • Works with and through both functional and technical project team members to deliver products as part of an Agile teams and using Agile processes

  • Work with team leaders and data analysts in resolving complex technical and operational issues

  • Ability to take ownership, acting with urgency, putting customers first, and looking into the future

  • Solid understanding of cloud technologies, enterprise level Data Strategy and Data Governance concepts

  • Familiarity with data visualization tools and methodologies is a plus

  • Experience should also include:

    • Development of data pipelines, in Azure, using all types of data sets

    • Strong familiarity with Databricks, Data Factory, StreamSets

    • Performance tuning of Tableau servers and workbooks

    • Developing and working with Tableau driven dashboards, analytics

    • Working directly with business analysts or business sponsors to gather and validate functional requirements and document design specifications

    • Hands-on experience working with large and complex datasets

    • Working in a support team environment by documenting, researching, and solving problems


Education: Bachelors Degree in Computer Science or similar requiredWork Authorization: US citizenship required in order to obtain a US government Public Trust clearance

Location/Remote: REMOTE/Hybrid, candidate must be local to DC Metro and ready to come onsite at least once a week.

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