Data Engineer

At DUAL North America, our core values dictate how we live and work. We are a group with independence and people at its heart and we are a home for talent with a unique culture: the biggest small company in the world.

The focus on being a People First business has always been at the very heart of the Group; Our vision was to create an independent business with a unique culture and one that would survive and thrive as a business controlled by the people working for it. And finding the most talented and entrepreneurial people to join the Group has been and will continue to be key.

DUAL North America, Inc. is seeking a

Classification: Exempt
Division: Information Technology
Reports to: VP of Data Integration and Analytics
Travel: 10-15%
Work Environment: Hybrid/Remote, United States

Salary Range: $115,000.00-$125,000.00
 
About the role: 

DUAL North America is seeking a Data Engineer. We are a forward-thinking leader in the insurance industry, with a commitment to achieving our ambitious business goals by leveraging innovative data strategies. We are seeking a strategic and technical data and analytics leader to transform data into actionable information to ensure we meet our long-term goals.

Position Overview:

The Data Engineer will be a key team member in developing and delivering DUAL North America's data platform and reporting solutions. This role will help implement the data architecture and data platform roadmap that will enable analytics and reporting for the enterprise. The role requires technical skills to develop data engineering pipelines, identify and establish best practices for developing data solutions, and business acumen to deliver solutions further business objectives.

Role Responsibilities:

• Data Modeling: Design and implement dimensional, relational, and 3NF data models. Develop conceptual, logical, and physical data models to support business requirements.

• Data Pipelines: Develop and maintain ETL and ELT processes. Create batch, micro-batch, and low latency pipelines to integrate data systems efficiently.

• Operational Data Store Development: Build near-real-time operational data stores. Design systems to enable operational reporting and application integration.

• Data Lakehouse: Construct Medallion-like layers to support data lakehouse architecture. Empower enterprise BI, advanced analytics, and machine learning initiatives.

• Development Lifecycle: Manage source control, branching, merging, and pull requests. Implement continuous integration and continuous deployment (CI/CD) practices. Conduct integration and unit testing to ensure data quality and reliability.

• Tools and Technologies: Utilize Azure SQL Databases and Azure Data Factory. Develop solutions using Databricks (Spark development, Notebooks, R/Python/Scala). Work with iPaaS platforms (e.g., Mulesoft, Informatica) and other data ingestion tools.

Key Requirements:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree or MBA preferred.

• Extensive experience (5+ years) in data engineering, analytics, or similar data focused discipline.

• Expertise in designing and developing data pipelines, modeling data to drive analytical insights across business teams and leadership.

• Experience with cloud data architecture best practices and patterns for Cloud Data Warehouses, Data Lakehouse, Data Fabric, Data Mesh, and similar.

• Experience with modern cloud environments like Azure, AWS, GCP (Azure preferred).

• Strong programming skills with languages like SQL, Python, R, or similar languages.

• Excellent communication and stakeholder management skills.

• If you do not meet all the qualifications for this role, we still encourage you to apply, as we are always looking for diverse talent to join our growing team.

What we offer:
A career that you define. Yes, we offer all the usual rewards and benefits - including medical, dental, vision, a wide variety of wellbeing offers, competitive salary, unlimited PTO, 401k with company match, paid volunteer days and more.

We provide an environment where new ideas are encouraged and celebrated, where people who want to have a real hand in our success thrive. We want people who want to make a difference - not just in the workplace, but in the industry and in the wider community.

EEO Statement:
We consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness, and respect. DUAL North America provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. DUAL will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.