Cloud Data Engineer at Datalab USA

Germantown, Maryland, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

NoVisa

Financial Services, Insurance, Telecom, Travel & LeisureIndustries

Requirements

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
Technically proficient with good interpersonal, troubleshooting, and documentation skills
Candidate must be local to Germantown, MD

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

Skills

Key technologies and capabilities for this role

PythonSQLCloud ComputingBig Data ProcessingDistributed ComputingCI/CDAutomationTest FrameworksSoftware DevelopmentDebugging

Questions & Answers

Common questions about this position

Is this position remote or does it require being local?

The candidate must be local to Germantown, MD, indicating an in-office requirement.

What are the required technical skills for this Cloud Data Engineer role?

Required skills include experience developing applications in Python, familiarity with SQL and relational databases, experience with cloud platforms like Snowflake, AWS, Azure, or GCP, and strong problem-solving skills.

What soft skills are needed for this position?

Candidates must possess good interpersonal, troubleshooting, and documentation skills, along with teamwork and strong inter-personal skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Cloud Data Engineer position?

A strong candidate holds a Bachelor’s in Computer Science, has experience in Python and cloud platforms, demonstrates outstanding coding skills with best practices, and brings preferred experience like 2-4 years building Python or cloud applications and familiarity with data pipeline frameworks.

Datalab USA

Data analytics and marketing solutions provider

About Datalab USA

DataLab USA provides data-driven analytics and marketing solutions tailored for both consumers and businesses. The company creates over 1,000 predictive models annually to help clients understand consumer behavior and improve their marketing strategies. DataLab stands out from competitors by combining technical expertise with a deep understanding of marketing, offering exclusive access to extensive consumer data files. The goal is to deliver customized solutions that drive measurable marketing success for clients.

Germantown, IllinoisHeadquarters

1979Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, Consumer GoodsIndustries

51-200Employees

Risks

Emerging AI-driven platforms offer similar services at lower costs, increasing competition.

Stricter data protection regulations may limit DataLab's access to consumer data.

Tech giants' advancements in machine learning could outpace DataLab's capabilities.

Differentiation

DataLab USA builds over 1,000 predictive models annually, showcasing its technical expertise.

The company offers exclusive access to over 20,000 linked consumer data attributes.

DataLab USA has a proven track record in predictive modeling competitions.

Upsides

Increased demand for personalized marketing boosts DataLab's predictive modeling services.

AI integration in marketing enhances DataLab's precise targeting and customer insights.

Cloud-based solutions expand DataLab's scalable and flexible data processing capabilities.

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