
at KPMG
Big FourPosted 4 days ago
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**Senior Specialist, Federal Data Engineer - KPMG Advisory** Architect, design, and optimize complex data systems for U.S. federal clients. Leverage big data tools, Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, and cloud platforms (AWS, Azure, GCP). Collaborate cross-functionally, translating business needs into technical solutions. Requires 3+ years of data engineering experience, Python, SQL, and familiarity with Agile, GIT, and test-driven development. U.S. Government Secret clearance required. Travel for firm engagements expected. KPMG offers competitive benefits and compensation.
- Compensation
- Not specified USD
- City
- Los Angeles
- Country
- United States
Currency: $ (USD)
Full Job Description
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.
Responsibilities:
- Leverage a variety of modern big data tools / approaches to solve complex business objectives
- Rapidly architect, design, prototype, and optimize software systems to tackle Data Access, Data Management, and Data Science needs
- Build pipelines / scalable analytics tools using leading technologies (e.g. - Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.)
- Conduct peer code reviews to ensure code quality, provide documentation / operating guidance for users of all levels (translate between business & technical stakeholders)
- Develop data engineering designs that positively impacts business performance
Qualifications:
- A minimum of three years of technical data engineering experience; U.S. Federal government consulting experience preferred
- Bachelor's degree from an accredited college/university
- Experience with Python and SQL required (experience with Advana, Databricks, Spark preferred)
- Experience with development tools and methodologies (Agile, GIT, test driven development, CI/CD release management)
- Experience with data architecture / integration and coding / testing patterns working with existing open-source software platforms
- Ability to travel as required to support firm engagements
- Applicant must possess a U.S. Government Secret clearance
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.




