Senior Data Engineer

🕒 August 14

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $135k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TeamWorx Security

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

🔒 Cybersecurity

☁️ SaaS

💰 $500k Venture Round - TeamWorx Security on 2025-06

Defense • Cybersecurity • SaaS

TeamWorx Security is a dual-use AI-driven cyber defense company that provides a secure information-sharing platform (Hive-IQ) and collaborative intelligence community for cybersecurity professionals. The company combines AI-generated insights with human analysis to enable collective defense across industries, offering SaaS cloud instances, enterprise editions, managed support, training, and expert services including risk assessments, software and data engineering, identity and access management, and AI integration. TeamWorx focuses on operationalizing cybersecurity programs, integrating AI/LLMs safely, and delivering managed and professional services to help organizations strengthen governance, detection, and response capabilities.

📋 Description

• Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies • Develop enterprise data models and layered data architectures that transform multiple source systems into reliable, reusable data products • Extract, transform, validate, and analyze data for reporting, business intelligence, AI, and operational decision-making • Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle • Work with technical teams and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues • Evaluate and apply new technologies based on customer needs • Support testing, deployment, production operations, and continued improvement • Communicate progress, decisions, and obstacles clearly and remain accountable through delivery and ongoing support

🎯 Requirements

• Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience • 12 or more years of relevant data engineering, software engineering, data architecture, or technical delivery experience • Master’s degree and 10 years of experience also considered • Hands-on experience delivering production data engineering solutions in an enterprise Databricks environment • Experience with data pipelines and orchestration, Delta Lake, Unity Catalog, CI/CD and deployment, enterprise security, and governance practices • Experience with data engineering technologies including GCP, BigQuery, Python, SQL, JavaScript, Google Apps Script, APIs, cloud platforms, databases, and visualization tools • Understanding of data modeling, ETL/ELT, data quality, governance, security, and production support • Strong problem-solving, documentation, communication, and teamwork skills • Curiosity and willingness to learn new platforms, tools, and technical approaches • U.S. citizenship required • Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access

🏖️ Benefits

• Comprehensive Health, Dental, & Vision Insurance • Short-Term Disability & Life Insurance • Matching 401(k) Contributions • Paid Time Off including 11 Holidays and your Birthday • Professional Development • Fitness Membership • Home Office allocations • Performance Bonuses & Profit Sharing • Employee Referral Bonuses