Databricks Engineer - Contract (contract)

KPMG is currently seeking highly skilled contract Databricks Engineers for upcoming assignments. We are looking for professionals who can tell a credible, proven career story through their hands-on work. To be successful, your background must clearly demonstrate robust technical capability and a track record of delivering high-impact, real-world engineering solutions. To be considered for these upcoming opportunities, your resume must clearly reflect the following: Demonstrated Technical Capability: Direct, hands-on experience with Databricks, Spark (PySpark/Scala), and modern data warehousing. Relevant Project Experience: A clear focus on how you have successfully applied your Databricks and engineering skills within past project environments. Real-World Engineering Impact: Practical, real-world solutions in your past roles—moving beyond theoretical knowledge to show tangible business outcomes. Balanced Skillset: Strong evidence of both high-caliber technical execution and the communication skills necessary to collaborate with business stakeholders. Responsibilities: Design, develop, and optimize scalable data pipelines and cloud-native data solutions using Databricks, PySpark, SQL, and Python to support enterprise analytics, AI, and machine learning initiatives. Build and operationalize ML/MLOps workflows, leveraging Lakeflow, Generative AI, and Genie capabilities to deliver intelligent, production-ready solutions. Implement and manage enterprise data governance, security, and data quality standards through Unity Catalog, Data Management, and Data Governance best practices. Collaborate with data scientists, architects, and business stakeholders to deliver modern data platforms that enable advanced analytics, AI-driven insights, and business decision-making. Develop and maintain secure, high-performing data architectures while ensuring scalability, reliability, and compliance across the data lifecycle. Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. Qualifications: Nice-to-have experience: Azure Data Factory, Kafka, LLMs, Data Science, Data Modeling, Snowflake, and other modern data engineering and AI technologies. Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified Bachelor's degree in Engineering, Information Technology, Computer Science or a related field from an accredited college/university Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms; experience designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP; hands-on technical experience with SQL and Apache Spark Highly analytical and detail oriented Ability to travel when needed KPMG LLP (“KPMG”) seeks a contractor in the United States to provide service to KPMG through one of our contracted employer/agency service providers. All applicants for any KPMG role are expected to act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment. All applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). Nothing herein shall be deemed to create an employer-employee relationship between contractor and KPMG, nor shall contractor be considered a representative or agent of KPMG. KPMG LLP and its subsidiaries comply with all local/state regulations in regard to displaying pay rate ranges. The pay rate range(s) displayed is/are specifically for those contracted who will perform work in or reside in the location(s) listed, if selected for the role. Pay is determined based on a variety of factors including market data, ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD, technology), and specific location, for example. Additionally, applicants may be required to apply and become employed by a service provider utilized by KPMG, and final pay rate(s) and/or eligibility for additional benefits may be determined by such provider. KPMG LLP, its subsidiaries, and its agency service providers (including, but not limited to, MBO Partners Inc., Magnit LLC, and TalentBurst Inc.) are equal opportunity employers/contractors. All qualified applicants are considered without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status. 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. Pay Rate Range 80 - 108 USD hourly