Technical Lead, Data Engineering

Fidelity • Boston, MA

2d • $126,000 - $255,000

About The Position

Fidelity is seeking a hands-on data engineering leader to help design and scale the data, graph, and AI foundations behind its workforce intelligence platform. The role combines architecture, engineering, and platform development with hands-on coding and solution delivery. The position partners with data scientists, machine learning engineers, and business leaders to build capabilities for analytics and AI-powered experiences.

The People Analytics and Insights organization uses data, analytics, and emerging technologies to support better decisions at Fidelity. Its workforce intelligence platform connects workforce data, skills, experiences, organizational relationships, and AI capabilities to support associates, managers, and business leaders. The organization works with Human Resources, business leaders, and technology teams to deliver products, advanced analytics, and AI-powered solutions.

Fidelity will not provide immigration sponsorship for this position. Hiring may be restricted for individuals with certain criminal histories under applicable laws and regulations. Fidelity is transitioning to a full-time onsite working model through a phased rollout; onsite expectations vary by role and location and may evolve. The position's application window closes when it is filled or unposted. The base salary range is $126,000–$255,000 USD per year, with placement dependent on responsibilities and scope, location, relevant experience, and other factors. Eligible offers may include bonus or other variable compensation.

Requirements

• Deep expertise in modern data engineering and platform architecture.
• Experience designing and implementing cloud-native data platforms and services.
• Experience building scalable APIs, pipelines, and data products.
• Experience with Python, SQL, AWS, and modern cloud-native tooling.
• Familiarity with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or another quantitative discipline.

Nice To Haves

• Experience with Neo4j.
• Experience in workforce, talent, HR, or enterprise analytics domains.

Responsibilities

• Design and implement cloud-native data platforms and services.
• Build scalable APIs, pipelines, and data products using technologies such as Python, SQL, AWS, and modern cloud-native tooling.
• Work with containerized workloads, orchestration frameworks, distributed processing technologies, and software engineering best practices.
• Develop graph-based solutions and connected-data architectures.
• Support machine learning, embedding, vector search, and AI workloads.
• Enable workforce intelligence products through scalable platforms and services.
• Partner with data scientists, machine learning engineers, business leaders, Human Resources, and technology teams.

Benefits

• Comprehensive health care coverage
• Emotional well-being support
• Retirement benefits
• Paid time off
• Parental leave
• Charitable giving employee match program
• Educational assistance, including student loan repayment and tuition reimbursement
• Learning resources for career development
• Depending on position and eligibility, bonus or other variable compensation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior