Data Engineer
Washington, District of Columbia, United States
Applications have closed
RSDC, LLC is a Veteran Owned Small Business (VOSB) with a presence in the Washington, DC Metropolitan area headquartered in Arlington, Virginia with offices nationwide. We deliver results for our customers through accurate requirements capture and our Strategy to Operations solutions approach which results in positive impact and enduring change that drive value in our client’s organizations. Alignment. It is more than a word to us – it is at the heart of what we do
We are seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our Federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. As a Data Engineer, you will be integral to data operations for the development and integration of multiple data types across a range of data sets and sources.
Requirements
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:
Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices
Write code to ensure the performance and reliability of data extraction and processing
Support continuous process automation for data ingest
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
Work with program management and engineers to implement and document complex and evolving requirements
Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists
Required Skills:
Must be a US Citizen
Must be able to obtain a Public Trust Clearance
7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats
Proficiency developing ETL processes, and performing test and validation steps
Proficiency to manipulate data (Python, R, SQL, SAS)
Strong knowledge of big data analysis and storage tools and technologies
Strong understanding of the agile principles and ability to apply them
Strong understanding of the CI/CD pipelines and ability to apply them
Experience with relational database, such as, PostgreSQL
Work comfortably in version control systems, such as, Git Repositories
Desired Skills:
Experience creating and consuming APIs
Experience with DHS and knowledge of DHS standards a plus
Candidates will be given special consideration for extensive experience with Python
Ability to develop visualizations utilizing Tableau or PowerBI
Experience in developing Shell scripts on Linux
Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions
Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences
Benefits
- Health Care Plans, various options (Medical, Dental & Vision)
- Paid Holidays
- Paid Time Off/Vacation
- Retirement Plans / 401K Matching
- Tuition Assistance
- Employer Paid Short Term & Long Term Disability
- Employer Paid Life Insurance
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Big Data Business Intelligence CI/CD Data analysis Data Analytics DataOps Data pipelines Engineering ETL Git Linux Pipelines PostgreSQL Power BI Python R RDBMS SAS Scrum SQL Tableau Testing Unstructured data
Perks/benefits: Career development Health care Insurance
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