обновлено 5 дней назад
Data Engineer (Python)
112 597 - 152 811$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python/ETL): Building and maintaining data pipelines and analytical data solutions for a federal customer business intelligence platform with an accent on structured and unstructured data processing, ETL, and data reliability. Focus on automating data ingestion, designing API-first solutions, validating complex datasets, and delivering scalable analytics capabilities.
Location: Hybrid or remote within the United States; offices listed in Boston, MA and Philadelphia, PA
Salary: $112,597.33–$152,810.66 per year
Company
delivers technology and professional services that simplify government operations and solve complex challenges for federal customers.
What you will do
- Develop and maintain data pipelines that store, manage, and provision data for consumers.
- Build reliable data extraction and processing code for structured and unstructured sources.
- Automate data ingestion and implement ETL, testing, and validation processes.
- Apply API-first design, continuous integration, version control, and automated testing practices.
- Translate complex and evolving requirements into documented data solutions with program managers and engineers.
- Collaborate in an Agile/Scrum cross-functional team with product, engineering, UX, and other specialists.
Requirements
- Must be a US citizen and able to obtain a Public Trust Clearance.
- 7+ years of IT experience designing, managing, and solving for large, complex datasets and data models.
- Experience developing pipelines from multiple structured and unstructured data sources.
- Proficiency with ETL processes, data manipulation, and testing using Python, R, SQL, or SAS.
- Knowledge of big data analysis and storage technologies, relational databases such as PostgreSQL, Git, Agile practices, and CI/CD pipelines.
- Ability to communicate technical concepts to non-technical audiences and translate requirements into data strategies.
Nice to have
- Experience creating and consuming APIs.
- Experience with DHS and DHS standards.
- Extensive Python experience.
- Experience with Tableau or Power BI visualizations and Shell scripting on Linux.
Culture & Benefits
- Collaborative environment focused on innovation, customer service, and teamwork.
- Professional growth through learning opportunities.
- Health, dental, and vision insurance.
- Life insurance, 401(k), and flexible spending accounts.
- Paid time off and state and federal holiday observance.
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