Entry Level Data Engineer
Atlanta, Georgia, United States; Charlotte, North Carolina, United States; Dallas, Texas, United States; Gilbert, Arizona, United States; Houston, Texas, United States; Lake Mary, Florida, United States; Mechanicsburg, Pennsylvania, United States; Philadelphia, Pennsylvania, United States
Full Time Entry-level / Junior Clearance required USD 86K - 160K *
Deloitte
Insights zu unseren Diensleistungen im Bereich Audit, Consulting, Financial Advisory, Risk Adivisory und Tax sowie unseren zahlreichen Industrien.Entry Level Data Engineer
Data Analytics | Data Engineering Same job available in 8 locationsAtlanta, Georgia, United States
Charlotte, North Carolina, United States
Dallas, Texas, United States
Gilbert, Arizona, United States
Houston, Texas, United States
Lake Mary, Florida, United States
Mechanicsburg, Pennsylvania, United States
Philadelphia, Pennsylvania, United States
Position Summary
Are you an experienced, passionate pioneer in technology – a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center – we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below …
Work you’ll do/Responsibilities
This Data Engineer will:
- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks based on mission needs and objectives.
- Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures is preferred.
- Optimize data pipelines ensuring scalability, reliability, and high-performance processing as well as providing innovative solutions to troubleshoot complex data-related problems with large datasets.
The Team
Artificial Intelligence & Data Engineering:
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Qualifications
Required
- Active Secret Clearance required
- Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
- 1+ years of data engineering experience
- 1+ years of experience with ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
- Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
Preferred
- AWS, Azure and/or Google Cloud Platform Certification.
- Experience working with agile development methodologies such as Sprint and Scrum.
- Experience government consulting/clients
- Strong problem-solving skills and ability to solve complex data-related issues
- Data governance experience
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Recruiting tipsFrom developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture
Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. Professional development
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 204493
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Computer Science Consulting Data Analytics Databricks Data governance Data management Data pipelines Engineering ETL GCP Google Cloud JavaScript JSON Jupyter Pipelines Python Robotics Scala Scrum Spark SQL Unstructured data
Perks/benefits: Career development
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