Data Engineer

Data Ideology; United States; Remote; USD 170,000 - 720,000; Full time

Job summary

Data Ideology is seeking a Data Engineer to join their team. The role involves leveraging technical knowledge to develop data models, working closely with business teams to fulfill requirements throughout the data lifecycle. Ideal candidates will have experience in Data Warehousing, ETL, and SQL, with a strong focus on cloud-based solutions.

Qualifications

• 2+ years of experience in BI/Data Warehousing.
• 1+ years of experience with cloud platforms.
• Experience in ETL and SQL.

Responsibilities

• Develop production-ready data models by integrating multiple data sources.
• Translate business requirements into actionable data warehouse plans.
• Define and implement best practices across database design and ETL.

Skills

Data Warehousing

ETL

SQL

Data Modeling

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Job description

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At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.For more information about Data Ideology, visitwww.dataideology.com

Data Engineer - Contract to hire

We are looking for a Data Engineerto join our growing team. Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• Ability to collect and understand business requirements and translate those requirements into an actionable data warehouse plan
• Knowledge of multi-dimensional and tabular design patterns and ability to identify solutions that leverage these modeling techniques
• Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse built within those constraints
• Ability to define and implement best practices across database design and ETL
• Ability to direct the work of others, including but not limited to directing ETL development, demonstrating an understanding of key concepts of ETL/ELT, including best practices for optimization and scheduling

Supervisory Responsibilities: None

Qualifications

Education and Experience:

• Proven understanding of Data Warehousing, Data Architecture, and BI
• Experience with data pipelines and architecture/engineering
• Knowledge of modern apps and data platforms
• Cloud-based project implementation
• Python or Java experience is a plus

Knowledge, Skills, and Abilities:

• BI/Data Warehousing (2+ years)
• Cloud platforms (1+ years)
• ETL (2+ years)
• SQL (2+ years)
• Data Modeling
• Data Vault Modeling
• Healthcare experience a plus
• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Sales, General Business, and Education

• Industries

  Wireless Services, Telecommunications, and Communications Equipment Manufacturing

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