Mid-Level Data Engineer, Databricks

🕒 October 16

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $100k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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TeamWorx Security

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🔒 Cybersecurity

☁️ SaaS

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

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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

• Build, test, and support data pipelines in Databricks using Python, PySpark, and SQL • Move data from source systems into layered, reusable tables • Validate data against its sources, track down discrepancies, and fix quality issues before they reach reporting • Document pipelines, table definitions, and business rules • Take ownership of assigned work through delivery and production support • Raise risks and blockers early and keep the team informed of progress • Work with stakeholders and senior engineers to clarify requirements • Pick up new tools as project needs change • Deliver reliable datasets for analytics, reporting, and automation for a federal government client

🎯 Requirements

• Bachelor's degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience • 5 years of data engineering, data analysis, or related technical experience • Hands-on experience building pipelines in Databricks, including notebooks, PySpark or Spark SQL, and Delta tables • Proficiency in Python and SQL • Understanding of ETL/ELT, data modeling, and data quality practices • U.S. citizenship is required • Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access • Experience ingesting data through APIs (nice to have) • Experience with Unity Catalog, Databricks Jobs or Workflows, and CI/CD deployment (nice to have) • Experience with Google Cloud Platform (nice to have) • Experience supporting a federal client (nice to have)

🏖️ 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

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