Data Engineering Manager

Data Engineering Manager

Contract-To-Hire

Initial 6-month contract with a view to transitioning to a permanent role

Initial contract rates ($55 p/h W2 or $80 p/h C2C MAXIMUM)

Annual Salary, if offered a permanent role after a successful contract period ($105k-$130k)

Remote Working

US Candidates Only

*\*\*\*\*Candidates must be authorized to work in the US - Sponsorship/Visa's are not currently an option for this client\*\*\*\**

Our client is an insurance organisation based on the East Coast of the US, and so, any experience of working within a data role for an insurance organisation would be highly desirable, especially if you have any knowledge around Property & Casualty insurance, although this is not essential.

Responsibilities

Team Leadership & Development

• Lead, mentor, and manage a team of data engineers (USA & India) responsible for ETL development and support.
• Foster a collaborative and high-performance team environment.
• Manage resource allocation, workload balancing, and professional development for team members.

Project Management Responsibilities

• Plan, coordinate, and execute ETL and data warehouse projects from initiation through delivery, ensuring alignment with business objectives and timelines.
• Develop and maintain project plans, schedules, resource assignments, and risk mitigation strategies.
• Facilitate effective communication between technical teams, business stakeholders, and leadership to ensure project goals, status, and deliverables are clearly understood.
• Track project progress, identify roadblocks, and proactively resolve issues to ensure successful and timely project completion.
• Manage project scope, changes, and priorities in collaboration with stakeholders.
• Prepare and deliver regular project status reports, highlighting key milestones, risks, and achievements.
• Ensure adherence to project management methodologies, standards, and best practices.
• Keep track of all tasks and deadlines, ensuring everything continues to move forward smoothly.

Production Support

• Ensure the reliability, performance, and availability of ETL jobs in production environments.
• Manage incident response, root cause analysis, and resolution of ETL failures or data quality issues.
• Maintain and improve monitoring, alerting, and documentation for ETL processes.

KPI Implementation & Monitoring

• Identify key daily and monthly ETL process KPIs (e.g., job success rates, data latency, error rates, throughput, SLA adherence).
• Implement automated tracking and reporting mechanisms for ETL KPIs.
• Provide regular KPI dashboards and insights to stakeholders for improved transparency and operational decision-making.
• Drive continuous improvement initiatives based on KPI trends and analysis.

Process Improvement & Best Practices

• Establish and enforce ETL development standards, code reviews, and best practices.
• Evaluate and recommend ETL tools, frameworks, and technologies to enhance team productivity and system performance.
• Lead efforts to automate manual processes and improve operational efficiency.
• Ensure alignment of ETL processes with EDW architecture, requirements and data quality standards.

Essential Skills/Experience

• Snowflake
• SSIS
• DBT
• SQL Server
• Strong data engineering fundamentals
• Data warehousing concepts
• ETL processes
• Data movement and pipelines
• Proven technical leadership
• Experience managing distributed teams
• Project management capability
• Ability to mentor and guide engineers
• Willingness to learn and lead with the right attitude

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• 7+ years of experience in ETL development, data engineering, or data warehousing.
• 5+ years of experience in a leadership or managerial role.

Preferred Skills

• Experience with cloud data platforms (e.g., Azure).
• Familiarity with DevOps practices and CI/CD for data pipelines.
• Knowledge of data governance, data quality, and compliance requirements.