1 час назад
Senior Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks/GCP): Building and supporting secure, scalable enterprise data platforms and production pipelines for federal government analytics, automation, AI/ML, and operational decision-making with an accent on data modeling, governance, and multi-source integration. Focus on designing layered architectures, improving data quality and traceability, and deploying reliable Databricks solutions with BigQuery, Python, and SQL.
Location: Fully remote within the United States; U.S. citizenship is required. The candidate must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.
Company
is a Maryland startup developing secure applications, data products, and automated solutions for government and commercial customers.
What you will do
- 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 architectures that transform multiple source systems into reusable data products for analytics, applications, reporting, automation, and AI/ML.
- Extract, transform, validate, and analyze data to support reporting, business intelligence, artificial intelligence, and operational decision-making.
- Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle.
- Collaborate with technical teams, program leadership, and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues.
- Evaluate new technologies and support testing, deployment, production operations, and continuous improvement.
Requirements
- Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience.
- At least 12 years of relevant data engineering, software engineering, data architecture, or technical delivery experience; a master’s degree with 10 years of experience is also considered.
- Hands-on experience delivering production data engineering solutions in an enterprise Databricks environment, including pipelines, orchestration, Delta Lake, Unity Catalog, CI/CD, deployment, security, and governance.
- Experience with 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.
- U.S. citizenship and eligibility for federal suitability, a government-issued PIV credential, and required system access.
Culture & Benefits
- Comprehensive health, dental, and vision insurance.
- Short-term disability and life insurance.
- Matching 401(k) contributions and paid time off, including 11 holidays and a birthday day off.
- Professional development, fitness membership, and home office allocations.
- Performance bonuses, profit sharing, and employee referral bonuses.
- Values-driven culture focused on curiosity, authenticity, initiative, and employee development.
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