Senior Data Engineer

Data Ideology - Pittsburgh, PA

Full-time - Mid Level

Remote - Pittsburgh, PA

Professional, Scientific, and Technical Services

About the position

The Senior Data Engineer at Data Ideology is responsible for developing production-ready data models by integrating multiple data sources. This role requires collaboration with business and technical teams to understand business strategies and ensure that business requirements are met throughout the data and analytics lifecycle. The position emphasizes leveraging cloud technologies and adhering to best practices in data engineering to drive innovation and maintain high standards of data quality.

Responsibilities

• Design, develop, and implement robust data models for enterprise systems and external sources, ensuring data is accessible, accurate, and consistently available for analysis.
• Act as a technical resource in executing data strategies and architectures, collaborating closely with data architects and stakeholders to ensure alignment.
• Advocate and adhere to software and data engineering best practices, leveraging cloud technologies to accelerate innovation.
• Partner with data architects, product teams, and business experts to create and execute a data management roadmap aligned with company objectives.
• Develop tactical solutions to meet immediate needs, while supporting long-term data architecture standards and vision.
• Collaborate across teams, including IT, Business Intelligence, Data Quality, and Data Governance, to ensure accurate data metadata and high standards of data quality.
• Contribute to solution proposals with vendors and cloud providers, supporting the evaluation and selection of data solutions that meet company and client objectives.
• Plan and participate in initiatives for data security, backup, disaster recovery, and business continuity, aligning with best practices for data integrity and regulatory compliance.
• Drive best practices in data engineering workflows, from SDLC processes to source control and change management.
• Conduct peer reviews, mentoring team members to promote high standards and continuous improvement.
• Explore and implement tools and technologies to advance Data Ideology's data engineering capabilities.
• Ensure efficient data mapping, movement, and integration across platforms, maintaining data quality and consistency.
• Support project managers and business leads on data-centric initiatives, facilitating successful data integration and system compatibility.
• Contribute to cloud cost optimization, data reuse, and tech-debt reduction, promoting sustainable data engineering practices.
• Regularly update and enhance the data architecture to keep up with evolving technologies and business needs.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent combination of education and experience.
• A minimum of seven (7+) years of relevant experience in data engineering or related fields.
• Solid understanding of data architecture concepts, data mining, and large-scale data modeling.
• Proficiency in cloud data technologies, with experience in platforms like Snowflake, Azure, or Google Cloud Platform (GCP).
• Familiarity with data governance principles, data quality standards, and security protocols.
• Strong programming skills in languages commonly used for data engineering (e.g., SQL, Python, Spark).
• Experience with DevOps practices, including source control, CI/CD pipelines, and deployment best practices.

Benefits

• Flexible Time Off Policy
• Insurance (medical, dental, vision) for employees
• 100% company paid - short and long-term disability insurance for employees
• 100% company paid - life insurance and AD&D insurance for employees
• 100% company paid employee assistance program
• Retirement plans with company match
• Training and Certification Reimbursement annually
• Performance-based incentive program
• Commission incentive program
• Profit Sharing Plan
• Referral Bonuses