Data Engineer (Mid-Level)

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.

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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

Requirements

• Bachelor's degree in computer science, computer/software engineering, applied math, physics, statistics, or related field with a minimum of 5 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