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HireCapital

Data Engineer

HireCapital, Baltimore, Maryland, United States, 21276

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Overview

Direct message the job poster from HireCapital Technical Recruiter placing talent at innovative and mission-driven organizations

Company Overview: HireCapital is partnered with a mission-driven technology company that builds large-scale data intelligence systems to help global organizations protect their innovations and make critical decisions faster. Their products process massive, unstructured data volumes every day—turning billions of documents into structured, actionable insights through advanced engineering, automation, and cloud-scale systems. Role Summary: We are seeking a Senior Software Engineer with deep experience in data-intensive backend systems. This role sits at the intersection of software engineering and data infrastructure—focused on building and scaling the pipelines, APIs, and platforms that make sense of billions of data points. You’ll design systems that process and structure raw content at scale, collaborate with engineers and data scientists, and help shape internal tools powering high-impact intelligence products. Responsibilities

Design and implement large-scale data ingestion and transformation pipelines in Python. Build and maintain APIs and backend services that structure and serve data efficiently. Architect reliable, distributed systems optimized for scalability and performance. Develop solutions leveraging AWS (S3, Lambda, SQS, DynamoDB, EKS) and Elasticsearch. Collaborate with data scientists and engineers to define schemas and data models. Author technical design documents and participate in code reviews. Mentor peers and drive engineering best practices across the team. Qualifications

5+ years of professional experience as a software or data engineer. Strong proficiency in Python for backend and data processing. Experience designing systems that handle large-scale or unstructured data. Hands-on experience with AWS cloud infrastructure. Familiarity with Elasticsearch, graph databases (Memgraph, Neo4j), or similar technologies. Solid understanding of data pipelines, APIs, and distributed systems. Strong communication skills and ability to work collaboratively in cross-functional teams. Preferred

Prior experience in data platform, cybersecurity, or intelligence-oriented environments. Familiarity with Flyte, Airflow, Kafka, or RabbitMQ. Experience implementing data orchestration or workflow automation. Knowledge of DevOps, CI/CD, or containerized deployments (Docker/Kubernetes). Competitive compensation and equity options. Comprehensive medical, dental, and vision insurance. 401(k) plan with employer match. Flexible PTO and paid holidays. Paid parental leave and wellness reimbursement. Work alongside a highly skilled team solving complex, globally impactful data challenges. Seniorities and Employment

Seniority level: Mid-Senior level Employment type: Full-time Job function and Industries

Job function: Engineering and Information Technology Industries: Software Development, Defense and Space Manufacturing, and Technology, Information and Media Referrals increase your chances of interviewing at HireCapital by 2x Inferred from the description for this job

Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified about new Software Engineer jobs in

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