Data Engineer

Reposted 12 Days Ago
Pittsburgh, PA, USA
In-Office
Mid level
Database • Analytics
The Role
The Data Engineer will develop production-ready data models, collect business requirements, design data warehouses, and implement ETL best practices while collaborating with teams.
Summary Generated by Built In

Data Ideology

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, visit www.dataideology.com 

Data Engineer

We are looking for a Data Engineer to 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.

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 (4+ years)  
  • Cloud platforms (2+ years) 
  • ETL (4+ years)  
  • SQL (4+ years) 
  • Data Modeling 
  • Data Vault Modeling 
  • Healthcare experience a plus 

Work Environment: 

  • 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.
Benefits: Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
 

Data Ideology is an EEO Employer 

Skills Required

  • 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.
  • ETL experience of at least 4 years.
  • SQL experience of at least 4 years.
  • BI/Data Warehousing experience of at least 4 years.
  • Cloud platforms experience of at least 2 years.
  • Python or Java experience is a plus.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Pittsburgh, PA
43 Employees
Year Founded: 2017

What We Do

Based in Pittsburgh, Pennsylvania, Data Ideology is the region's fastest-growing data & analytics consultancy serving the area’s largest enterprises in healthcare and technology. Our team consists of highly competitive individuals who are experts in the field and passionate about data and the value it can bring to organizations. We specialize in data warehouse modernization , data warehouse migration, eliminating data silo’s , data governance , data visualization , and enterprise deployment , bringing data together , eliminating complexity and providing top-notch training solutions. At Data Ideology, we drive a culture of empowerment at the top level of management and ownership of results so that our customers win every day. Our main focus is on our clients, as well as on their processes, data and technology to help them realize greater value with their analytics investments. We work one on one with companies to leverage their data assets by implementing our methodology and framework to strengthen the strategic value of data within their organizations, respectively.

Similar Jobs

PwC Logo PwC

Data Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
65 Locations
370000 Employees
99K-232K Annually

CrowdStrike Logo CrowdStrike

Data Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
USA
10000 Employees
85K-120K Annually

PNC Bank Logo PNC Bank

Data Engineer

Machine Learning • Payments • Security • Software • Financial Services
Hybrid
Pittsburgh, PA, USA
55000 Employees
91K-203K Annually

CrowdStrike Logo CrowdStrike

Data Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
7 Locations
10000 Employees
195K-320K Annually

Similar Companies Hiring

Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account