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Cloud Data Engineer

Datalab USA · Germantown, United States Of America ·

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DataLab USA is an analytics and technology driven database marketing consultancy.  We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies.  Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure. 
 
DataLab’s Enterprise Product Management Team is at the core of deploying value creation for our clients.  Our technology team’s problem solving, and out of box thinking translate into positive ROI and success for our clients.
 
The primary purpose of this position is to develop data processing solutions and associated technical services designed to support client business objectives. Candidates must be technically proficient and possess good interpersonal, troubleshooting, and documentation skills.

 **No sponsorship available for this position**
**Candidate must be local to Germantown, MD**

Key Responsibilities
  • Leverage Python, SQL and cloud-based technology to build scalable and secure data processing software for continuous integration and delivery
  • Work on a wide range of interesting technical and business problems to support big data processing
  •  Support the build of new solutions to a wide array of complex system design challenges
  •  Work with team leads to prototype, design, and implement internal process improvements: automating manual processes, optimizing data delivery, building infrastructure for greater scalability
  •   Support infrastructure and applications to process large amounts of data in a distributed computing environment
  •   Write automated test frameworks for use across projects
  •   Develop and maintain software using already established best practices for creating readable and maintainable code
  •   Debug and resolve software defects
  •   Act as the first-level support for existing production applications through Software Development Lifecycle (SDLC)
  •   Prepare and maintain solution documentation
Required Skills and Qualifications
  • Bachelor’s in Computer Science
  • Experience developing applications in Python
  • Familiarity with SQL and working with relational databases
  • Experience with cloud platforms (Snowflake, AWS, Azure, or GCP) and cloud-native data services
  • Strong problem-solving skills and attention to detail
  • Experience using third-party Python frameworks
  • Good understanding of Python data structures and object-oriented programming concepts
  • Outstanding coding skills, knowledge of patterns and best practices in an object-oriented style
  • Teamwork, strong inter-personal skills
Preferred Qualifications:
  • 1-3 years of experience building Python or Cloud applications
  • Familiarity with API development frameworks (e.g., Flask, REST).
  • Familiarity developing in a distributed environment 
  • Experience with data pipeline frameworks (e.g., Airflow, dbt, Spark, or similar)
  • Experience with processing large amounts of data with Big Data frameworks
  • Familiarity with CI/CD tools and DevOps practices
  • Familiarity with secure coding guidelines and standards

The base pay range provided serves as a general guideline. The final annual salary offered to the selected candidate will vary based on factors such as qualifications, skill level, competencies, the scope and responsibilities of the role

We are proud to offer a comprehensive benefits package designed to support the well-being and financial security of our employees. Our benefits include:
Health, Dental, and Vision Plans: Comprehensive coverage to meet your healthcare needs.
Employee Assistance Program (EAP): Resources and support for personal and professional challenges.
401(k) Retirement Savings Plan: Includes option for Traditional or Roth IRA to help you plan for your future.
Paid Time Off: Enjoy paid vacation and sick leave to maintain work-life balance.
Company Holidays: Nine paid company holidays throughout the year.

DataLab USA™ is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
All offers of employment are contingent on passing a background check and drug test.