Demo

Jr. Big Data Engineer

Soft Tech Consulting
Soft Tech Consulting Salary
Atlanta, GA Full Time
POSTED ON 2/16/2025
AVAILABLE BEFORE 3/15/2025
Big Data Engineer

Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity?

What if an organization existed solely for the purpose of investing in YOU, being of service to YOU, showing you how, and supporting you every step of the way?

Is a customized and personalized approach to your learning journey, career development, and overall ability to maximize your earning potential important to you?

Let’s make it happen – together!

What’s In It For YOU?

  • Full time, W-2 employment, with FREE, paid 8-week training in Big Data engineering (an Industry-Proof Technology) at our headquarters in Atlanta, GA
  • Complete and total support post training to secure and thrive while working for end-clients
  • Paid corporate-sponsored housing during above mentioned training
  • Relocation assistance for training and all projects, as needed
  • Robust W2 employee benefits
  • Full coverage medical, dental, vision insurance coverage through Cigna Open Access POS plans
  • 401K eligibility after one calendar year of employment, 3% company match
  • Basic life/AD&D, Dependent Disability (short/long term) coverage
  • Work visa sponsorship for Foreign Nationals
  • Opportunity for nationwide U.S. travel
  • Company-sponsored technical certifications, as necessary, per technology
  • Learn to become a best-in-class engineer, developer, and consultant
  • Development in proven soft skills and interviewing skills methods
  • An expert technical engineer development program
  • Project deliverable support (once on project)
  • Exposure to a breadth and depth of best-practice production environments, code bases, and tech stacks with 100’s of industry-leading end clients
  • Opportunities to assist our end clients across multiple states architect, test, deploy, maintain, document, and scale upward

Who Are We?

First – we're a top-tier IT consulting firm, providing best-in-class Big Data solutions for companies across an array of industries including finance, energy, ecomm, logistics, travel, retail, entertainment, auto, and healthcare. We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab...just to name a few!

As a consultant, this means you, too, will have these well-known, industry-leading end-client experiences when you join our team!

Second – we're a people development firm. When you join our organization, you come to us with the required foundational technical skills, coding ability, educational degree, and general understanding that will serve as a foundation to learning Big Data Engineering. It’s our mission to mentor, develop, and train you, as mentioned above, to learn Big Data, so you can then gain experience and provide world-class consultative services to our end clients.

Company Highlights

  • Our Expertise: IT consultative services and quality engineer development through recruiting, hiring, and coaching our consultants
  • Longevity: 25 years of combined domestic and international experience in IT consulting
  • Depth: Hundreds of Fortune 1000, 500, and innovative start-up end clients with 1000’s of successfully completed and on-going projects across the US, EU, and UK
  • Global Reach: Employee work force is diverse, spanning across 4 continents of North America, Europe, South America, and Asia
  • Growth & Innovation: Active monitoring and measurement of the market across all technological sectors to adapt to and implement what's "next”

How We Will Help You

  • Teach and Develop: We will instruct and train you in Big Data to become a best-in-class consultant through our proven method and program, capable of delivering end-client deliverables, through our paid, 6-8-week training course
  • Customized Support: Several teams will be ready to support and collaborate with you in a custom-tailored way; this includes our teams of Development Managers, Tech Subject Manager Experts, Project Deliverable Support, Corporate Trainers, Interview Coaches, Client Placement Specialists, and Immigration Specialists (for our foreign national candidates)
  • Project Placement: Our dedicated market-expertise sales team will help you seek, secure and maintain a project with our myriad end clients
  • Career Growth: You will gain the necessary industry experience to drive and propel your technical profession forward for many years to come!

What You Bring To The Role

  • Degree in Computer Science, Information Systems, or equivalent quantitative field and 3 years of experience in a similar Big Data Engineer role, master's degree would be not required but preferred.
  • 5 years of experience working in a corporate environment within IT or 5-8 years of company work experience with 2 of those years being within IT.
  • Great interview skills as you will be interviewing with many companies and leads in the tech industry.
  • Demonstrated ability to build processes that support data transformation, data structures, metadata, dependent, and workload management.
  • Strong interpersonal skills and ability to project manage and work with cross-functional teams.
  • Working SQL knowledge with relational databases, query authoring, as well as working familiarity with a variety of databases
  • Availability to travel (80% after Training portion) and live in the U.S.
  • Strong English written and verbal communication skills
  • Excited by being a data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up
  • Looking to be optimizing or even re-designing a company’s data architecture to support next generation and data initiatives
  • Ability to be self-directed and comfortable supporting the data needs of multiple teams, systems and products
  • Nice-to-have:
    • Relational SQL and NoSQL databases
    • Object-oriented/Object function scripting languages such as Python, Scala, etc.

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