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MiddleRemoteUnited States

Data Engineer

J
jobgether
Зарплата
$8,300–$11,700
Уровень
Middle
Формат
Remote
О роли

Описание вакансии

About the company

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Mid-Level Data Engineer, Databricks based in the United States. The role supports analytics, reporting, and automation for a federal government client.

Responsibilities
  • Design, develop, test, and maintain data pipelines using Databricks, Python, PySpark, and SQL to ingest, transform, and organize data into layered, reusable tables
  • Build and maintain data products supporting analytics, reporting, and automation across multiple business areas
  • Validate datasets against source systems, investigate discrepancies, troubleshoot data quality issues, and implement corrections
  • Apply ETL/ELT practices, data modeling principles, and quality controls
  • Document data pipelines, table definitions, transformation logic, and business rules
  • Own assigned engineering tasks from development through delivery and production support
  • Collaborate with senior engineers, data scientists, government stakeholders, and other team members
  • Adapt to changing project priorities and develop proficiency with additional tools
  • Contribute to continuous improvements in data engineering workflows, pipeline reliability, and usability of shared datasets
Requirements
  • Bachelor's degree in computer science, data science, information systems, engineering, or related discipline, or equivalent experience
  • At least 5 years of experience in data engineering, data analysis, or a related technical field
  • Hands-on experience building and supporting data pipelines in Databricks, including notebooks, PySpark or Spark SQL, and Delta tables
  • Proficiency in Python and SQL for data transformation, querying, validation, and troubleshooting
  • Solid understanding of ETL/ELT processes, data modeling, data integration, and data quality practices
  • Ability to investigate data discrepancies, identify root causes, and implement solutions
  • Strong documentation, communication, and problem-solving skills
  • Demonstrated ownership, effective time management, and adaptability
  • U.S. citizenship required
  • Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and all required system access
Conditions
  • Annual compensation range of $100,000–$140,000 USD
  • Fully remote position within the United States
  • Comprehensive medical, dental, and vision insurance
  • Short-term disability and life insurance coverage
  • 401(k) plan with matching employer contributions
  • Paid leave, including 11 holidays and a day off for your birthday
  • Professional development opportunities
  • Fitness membership support
  • Home office allocations
  • Performance bonuses and profit-sharing opportunities
  • Employee referral bonuses
Стек и навыки

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