Data Engineer
Fairfax, VA
Featured Hatch Accounts – JDSAT /
Full Time /
Hybrid
Thank you for your interest in joining the JDSAT team. hatch I.T. is facilitating the recruitment process, so please continue your application here for the Data Engineer (Mid-Level) position! All openings are full-time with JDSAT.
Who is JDSAT? We’re not a data solutions firm. We’re a boutique technology company that excels in developing solutions, identifying risks, and creating opportunities for our customers.
We’re an advanced analytics services company that is currently engaged with both federal and private sector clients. We build our products the same way we built our company—with people in mind. All our employees are committed to maintaining and continuing to build a culture of inclusivity, positivity, and growth.
About the Role:
JDSAT, Inc. is seeking an experienced data engineer to contribute to designing and building a data architecture to support advanced analytics services for federal clients. You should have experience building enterprise-grade data ingestion solutions and, ideally, on cloud platforms like Amazon Web Services. Experience with DBT (Data Build Tool) is also desired.
About the Company
JDSAT is a solutions company before anything else, and they believe that data, mathematics, and software are the most effective paths to finding a solution tailored to the organization’s needs.
Candidates must be able to obtain a secret-level clearance and be able to be on-site 2-3 times per week
Responsibilities:
- Design and build relational databases for data storage and/or processing.
- Evaluate new data sources for adherence to the organization's quality standards and ease of integration.
- Assess, analyze, and organize raw data.
- Prepare data for use in simulation, optimization, or data science tools.
- Combine information from many disparate sources, conduct data validation/verification, and store the data in a manner that enables database users to intuitively join information across multiple domains.
- Leverage industry best practices across all relevant levels of the technology stack, including version control systems, ETL processes, and the use of AWS cloud products.
- Identify opportunities for new data acquisition.
- Interface with source data in a variety of different forms, including APIs, flat file extracts, direct database querying, etc.
- Apply strong attention to detail to identify errors or data quality concerns and communicate with customers in a professional manner.
- Act as liaison between data owners and data consumers to evaluate business needs and objectives and help data consumers understand the art of the possible.
- Design data auditing and data control processes to monitor the status and health of enterprise data systems.
Requirements:
- Bachelor's degree in computer science, computer/software engineering, applied math, physics, statistics, or related field with 5-7 years of experience working, or a combination of postgraduate studies and working, in a technical field as described above.
- Ability to assess and profile raw data and reassemble raw data from multiple sources into a single, enterprise model.
- Ability to work in a consulting role, building technology and communicating with end-users and customers of varying levels of technical capability.
- Ability to produce high-quality, professional documentation and communication materials.
- Ability to build and deploy team-friendly code in SQL.
- Ability to build and deploy team-friendly code written in Python and R.
- Experience with Amazon Web Services (AWS).
- Experience leveraging cloud platforms to build secure and scalable data infrastructure.
- Experience building batch or streaming data ingestion pipelines.
- Experience with DBT (Data Build Tool).
- Must be able to obtain a secret-level clearance
