Job Description

This position is posted by Jobgether on behalf of Hypergiant. We are currently looking for a Senior Data Engineer in United States.

In this role, you will join agile delivery teams working on highly complex defense projects, with a particular focus on building advanced data services for command and control software. You will design and implement scalable data pipelines, optimize database performance, and ensure secure and efficient data flows across multiple systems. The position requires strong expertise in modern data engineering, a collaborative mindset, and the ability to thrive in a fast-paced environment with mission-critical impact. This opportunity offers the chance to work on innovative solutions at the intersection of technology, defense, and artificial intelligence.

Accountabilities:

• Contribute to the design, development, and deployment of scalable data services supporting defense-focused software projects.
• Implement and optimize database technologies, messaging systems, and spatial/time-series data solutions.
• Build ETL pipelines and ensure efficient parsing, transformation, and integration of diverse data sources.
• Apply advanced data modeling and performance optimization techniques, including indexing, partitioning, and parallelization.
• Leverage tools such as Apache Kafka for publish-subscribe data service architectures.
• Collaborate within agile teams, using version control systems and modern development workflows.
• Ensure compliance with security standards and maintain eligibility for U.S. national security clearance.
• Engage in continuous learning to adopt emerging technologies relevant to data engineering and defense systems.

Requirements

• 7+ years of professional data engineering or software development experience (reduced requirements with advanced degrees).
• Strong programming skills in Python, with familiarity in Java and Bash scripting.
• Hands-on experience with PostgreSQL, PostGIS, Timescale, DuckDB, and related database technologies.
• Proficiency in XML, JSON, and data serialization formats.
• Solid knowledge of ETL architecture, data modeling, and optimization strategies.
• Experience in distributed data service architectures, especially Kafka.
• Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and automation tools.
• Excellent problem-solving, analytical, and communication skills.
• Must be a U.S. Citizen with the ability to obtain and maintain a Department of Defense Security Clearance.
• Preferred: experience with streaming data, radar/telemetry processing, geospatial information systems, military data standards, cybersecurity controls, and AI/ML applications.

Benefits

• Competitive base salary range: $121,200 – $153,000 USD (excluding bonuses, equity, and other compensation).
• Unlimited Paid Time Off and 14 paid company holidays.
• Paid maternity and paternity leave.
• Flexible work environment with remote options.
• Comprehensive medical, dental, and vision insurance.
• Optional HSA and FSA accounts.
• Complimentary life insurance.
• Short- and long-term disability coverage.
• 401(k) with company matching.
• Reimbursement for personal and professional development.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job’s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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