Software Engineer (Python, SQL)
5+ years
United States
Full-time
Remote
1 month ago
About the role
About The Company
Our client is a leading organization in the technology and data solutions industry, committed to delivering innovative products and services that empower businesses to harness the full potential of their data assets. With a strong emphasis on modernization, scalability, and performance, the company continuously invests in cutting-edge data platforms and fosters a collaborative environment that values diversity, continuous learning, and technical excellence. Their mission is to enable organizations to make data-driven decisions with confidence, leveraging advanced analytics, cloud-native architectures, and enterprise-grade data engineering practices.
About The Role
The Staff Data Engineer is a senior technical leadership role responsible for designing, developing, and maintaining enterprise-scale data platforms within the Enterprise Data Warehouse (EDW). This position plays a critical part in defining architectural standards, driving platform modernization initiatives, and mentoring engineering teams to ensure the delivery of high-quality, scalable, and cost-efficient data solutions. The ideal candidate will be hands-on, deeply technical, and capable of balancing strategic planning with practical execution. They will work closely with product teams, data analysts, and other stakeholders to develop semantic layers, foundational data domains, and downstream analytics products that support business insights and decision-making.
Qualifications
Responsibilities
Benefits
Equal Opportunity
Our client is an Equal Opportunity Employer and values diversity in the workplace. They do not discriminate against any employee or applicant based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other protected class under federal, state, or local law. All qualified candidates are encouraged to apply and will be considered without bias or discrimination.
Our client is a leading organization in the technology and data solutions industry, committed to delivering innovative products and services that empower businesses to harness the full potential of their data assets. With a strong emphasis on modernization, scalability, and performance, the company continuously invests in cutting-edge data platforms and fosters a collaborative environment that values diversity, continuous learning, and technical excellence. Their mission is to enable organizations to make data-driven decisions with confidence, leveraging advanced analytics, cloud-native architectures, and enterprise-grade data engineering practices.
About The Role
The Staff Data Engineer is a senior technical leadership role responsible for designing, developing, and maintaining enterprise-scale data platforms within the Enterprise Data Warehouse (EDW). This position plays a critical part in defining architectural standards, driving platform modernization initiatives, and mentoring engineering teams to ensure the delivery of high-quality, scalable, and cost-efficient data solutions. The ideal candidate will be hands-on, deeply technical, and capable of balancing strategic planning with practical execution. They will work closely with product teams, data analysts, and other stakeholders to develop semantic layers, foundational data domains, and downstream analytics products that support business insights and decision-making.
Qualifications
- Minimum of 3 years of experience in backend data engineering or analytics platform engineering
- Strong hands-on experience with cloud data warehouses, with a preference for BigQuery
- Advanced SQL expertise and proficiency in Python programming
- Proven experience designing enterprise-grade data models, including curated and ADS datasets
- Experience supporting semantic layers (AtScale preferred but not required)
- Knowledge of universal or shared semantic modeling across multiple domains or products
- Familiarity with CI/CD pipelines and orchestration frameworks such as Jenkins and Airflow
- Understanding of performance tuning and cost optimization in large data environments
- Experience designing systems for high availability, resilience, and scalability
- Ability to influence architectural decisions across teams without direct authority
- Bachelor’s degree or equivalent in a related field
Responsibilities
- Develop, test, deploy, and maintain scalable data pipelines and software solutions aligned with organizational goals
- Design and implement enterprise data models and semantic layers to facilitate accurate and efficient analytics
- Drive platform modernization efforts, ensuring adherence to architectural standards and best practices
- Mentor junior engineers, fostering technical growth and knowledge sharing within the team
- Collaborate with product teams to translate user stories into developer-ready requirements, ensuring clarity and testability
- Optimize data workflows for performance, scalability, and cost-efficiency
- Support the development of test suites and validation processes to ensure data quality and correctness
- Participate in cross-functional discussions to influence architectural decisions and promote best practices
- Assist in troubleshooting and resolving complex backend data engineering issues
- Continuously seek opportunities for learning and process improvement to enhance team productivity
Benefits
- Competitive salary range of $120,000 to $190,000 annually
- Health, dental, and vision insurance plans
- Retirement savings options and financial planning support
- Professional development opportunities and continuous learning programs
- Flexible work arrangements and a supportive work environment
- Paid time off and holidays to promote work-life balance
- Inclusive and diverse workplace culture that encourages innovation
Equal Opportunity
Our client is an Equal Opportunity Employer and values diversity in the workplace. They do not discriminate against any employee or applicant based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other protected class under federal, state, or local law. All qualified candidates are encouraged to apply and will be considered without bias or discrimination.
Skills
Information TechnologyTechnology, Information and Internet