Base-2 Solutions

Data Engineer

Job description

Required Security Clearance:
Public Trust
District of Columbia
Potential for Teleworking:
Full Time
DoD 8570 IAT Requirement:
DoD 8570 IAM Requirement:
DoD 8570 IASAE Requirement:
DoD CSSP Requirement:

Base-2 Solutions is looking for a Data Engineer to join our team.

Job Description

Looking for a driven Data Engineer to support DHS’ Data Services Branch under the Office of Chief Information Officer that provides innovative and complex data analytics services and platforms to users. As a Data Engineer, you will be integral to data operations for the development and integration of a variety of data sources from customers across DHS. You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. Processing data will include managing, manipulating, storing and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important.

    Responsibilities Include

    • Work closely with software engineers and architects to extract, transform, and standardize data to prepare for ingest into target sources
    • Design and develop data services and/or pipelines as part of an Agile/Scrum team
    • Support continuous process automation for data ingest
    • Work with program management and engineers to implement and document complex and evolving requirements
    • Perform multiple tasks simultaneously and successful perform under changing requirements and deadlines
    • Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
    • Write code to ensure the performance and reliability of data extraction and processing
    • Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
    • Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork

    Required Skills

    • Must be a US Citizen
    • Must be able to obtain a Public Trust Clearance
    • BS degree in Computer Science or related IT field/equivalent experience
    • 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
    • Experience handling multiple tasks, changing priorities, and timely action
    • Experience with developing data pipelines from many sources for structure and unstructured data sets in a variety of formats
    • Proficiency developing data extraction, transformation, and loading (ETL) processes, and performing test and validation steps
    • Proficiency with Python, R, and SQL languages, as well as various command line interfaces (Linux, AWS, Git Bash, etc.)
    • Technical proficiency with various database architectures, designs, and modeling
    • Familiarity with Hive, Hadoop, Kylin, and other big data analytic tools
    • Experience with relational database, such as, PostgreSQL
    • Excellent communication, and presentation skills with the demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences with an impeccable attention to detail

    Desired Skills

    • Experience creating and consuming APIs
    • Experience with DHS and knowledge of DHS standards a plus
    • Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions
    • Mid-level expertise in developing and managing data technologies, technical operations, reusable data services, and related tools and technologies
    • Demonstrated ability to adequately plan and meet delivery objectives and maintain adequate service levels in a highly dynamic, complex environments

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