Data Engineer
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Job Description
About the Company:
Deloitte is a multinational professional services network with a focus on consulting, financial advisory, risk management, and tax services. This posting specifically refers to Deloitte Consulting LLP, a subsidiary of Deloitte LLP. They emphasize a diverse, equitable, and inclusive culture and highlight their commitment to making an impact in their clients’ businesses, their employees’ lives, and their communities. Their purpose is described as creating trust and confidence in a more equitable society, focusing on sustainability, equity, and trust. They offer various professional development opportunities, ranging from on-the-job learning to formal development programs. Deloitte’s US Delivery Centers, established in 2014, are experiencing significant growth.
Job Description: Data Engineer
Position Summary:
Deloitte is seeking an experienced Data Engineer to join their US Delivery Center. This role emphasizes collaboration, idea sharing, and a think-tank environment, with minimal travel required. The ideal candidate is a passionate technologist who enjoys solving complex problems and working in a team setting. The US Delivery Centers are experiencing significant growth, and this position represents a key addition to their expanding team.
Responsibilities:
• Design, develop, and implement end-to-end data pipelines using ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Collaborate with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Optimize data pipelines for scalability, reliability, and high-performance processing.
• Provide innovative solutions to troubleshoot complex data-related problems with large datasets.
Team:
The Data Engineer will be part of the Artificial Intelligence & Data Engineering team. This team uses data, analytics, robotics, science, and cognitive technologies to generate insights and inform decision-making for clients. Their work includes implementing large-scale data ecosystems, leveraging automation and cognitive techniques, and driving operational efficiency.
Qualifications:
Required:
• Active Secret Clearance required
• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field, or equivalent experience.
• 2+ years of data engineering experience
• 2+ years of experience with ETL processes and technologies (Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks)
• 2+ years of experience in government consulting
• Legal authorization to work in the US without employer sponsorship.
• Commutable distance (approximately 100-mile radius) to one of the following locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA. Ability to commute to the assigned location daily, without overnight stays.
• Willingness to co-locate in the designated Delivery location up to 30% of the time (maximum 10% overnight travel).
Preferred:
• AWS, Azure, and/or Google Cloud Platform Certification
• Experience with agile development methodologies (Sprint and Scrum)
• Experience with government consulting/clients
• Strong problem-solving skills
• Data governance experience
