Senior Data Engineer

Data Ideology; Pittsburgh (Allegheny County); Remote; USD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Engineer, where your expertise in data warehousing and analytics will drive impactful business outcomes. In this role, you will develop production-ready data models, integrate diverse data sources, and collaborate with teams to fulfill business requirements. Enjoy a flexible work environment and comprehensive benefits, including medical coverage, retirement plans, and training reimbursements. This is an exciting opportunity to contribute to innovative data solutions in a supportive and dynamic team culture.

Benefits

Flexible Off Policy

Comprehensive medical, dental, and vision coverage

Short and long-term disability insurance

Life insurance and AD&D insurance

Retirement plans with company match

Training and Certification Reimbursement

Incentive program

Commission incentive program

Profit Sharing Plan

Referral Bonuses

Qualifications

• 5+ years of experience in BI/Data Warehousing.
• Experience with cloud-based project implementation.

Responsibilities

• Collect and translate business requirements into actionable data plans.
• Define and implement best practices across database design and ETL.

Skills

Data Warehousing

ETL

SQL

Cloud platforms

Data Modeling

Data Vault Modeling

Python

Java

Education

Bachelor's Degree in Computer Science or related field

Job description

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, visitwww.dataideology.com

Senior Data Engineer - Full-time

We are looking for a Sr. Data Engineerto join our growing team. Sr. 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 (5+ years)
• Cloud platforms (2+ years)
• ETL (3+ years)
• SQL (3+ years)
• Data Modeling
• Data Vault Modeling
• Banking experience a plus
• Consulting 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:

• Flexible Off Policy
• Comprehensive medical, dental, and vision coverage for employees and their families.
• Short and long-term disability insurance for employees
• Life insurance and AD&D insurance for employees
• Retirement plans with company match
• Training and Certification Reimbursement annually
• Incentive program
• Commission incentive program
• Profit Sharing Plan
• Referral Bonuses

Data Ideology is an EEO Employer