Senior Data Engineer

Compliance & Risks; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company that empowers global enterprises with innovative data solutions. This exciting role focuses on maintaining data privacy, planning complex data storage systems, and enhancing data services for product needs. With a commitment to continuous improvement, you'll collaborate with talented teams to optimize data systems and ensure compliance while enjoying a flexible work environment that promotes wellness and work-life balance. If you're passionate about data engineering and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Competitive salary

Company bonus

Health insurance

Pension

Wellbeing programme

Career development opportunities

Remote working options

Flexible work environment

Qualifications

• 7+ years experience in a data engineering role.
• Strong proficiency in Python and SQL with cloud services knowledge.

Responsibilities

• Design and develop robust data systems and pipelines.
• Administer data access security protocols and manage user permissions.

Skills

Python

SQL

Data Analysis

Cloud Computing

Data Security Standards

Java

NoSQL

Education

Master's degree in Computer Science

Tools

AWS

Azure

Job description

Compliance & Risks provides global companies with the tools, insights, and expertise to build safe, sustainable products. With two decades of experience, we help monitor, assess, and prove compliance, protecting your brand and driving growth in an evolving regulatory landscape.

The company serves over 320+ global enterprise customers including: GE, Google, Nike, Amazon, Bose, Tesla, Vaillant, Unisys, Samsung and Fujitsu.

Our Values:

All employees should continually promote the legacy of Company Culture through demonstrating its values – 1. Trust 2. Respect 3. Winning Together 4. Innovation

Compliance & Risks is an Equal Opportunities Employer.

Purpose:

Objective of the Role:

• Maintaining data privacy and consistency
• Planning, implementation, and maintenance of complex data storage systems, both relational and non-relational
• Participate in a follow-the-sun support model ensuring the reliability and uptimes of the C2P platform.
• Partner with engineering and product teams to build and improve data services for the product needs, as well as for internal and external reporting
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable data systems and services through automation and uplifts

Responsibilities:

• Analyze user and product requirements to design and develop robust data systems and pipelines, ensuring seamless integration from the backend infrastructure to the front-facing applications
• Collect and analyze metrics from the data layer, as well as software logs and performance indicators, to support optimization efforts and troubleshoot system issues
• Administer and enforce data access security protocols and manage user permissions to ensure compliance and protect sensitive information.
• Design, implement, maintain, monitor, and continuously improve data storage solutions, ensuring high availability (HA), reliable recovery mechanisms, and optimization of the analytical stack for the entire data team
• Develop programs and scripts to automate processes, prioritizing automation as the preferred approach for implementing new workflows and optimizing efficiency
• Development and maintenance of data layer documentation
• Write DR (disaster recovery) documentation for the data layer and test it periodically
• Provide proactive support to developers in resolving performance issues related to software and addressing potential challenges in production systems

Requirements:

• Masters degree in computer science, IT or other highly technical, scientific discipline
• 7+ years experience in a data engineering role
• Knowledge of database standards, data models and data structures
• Experience with cloud computing and cloud services connected to the data platforms such as AWS and Azure
• Extensive experience with data security standards and implementation
• Strong proficiency in Python and SQL, with experience in Java, and a solid understanding of NoSQL data languages and systems
• Strong experience in data analysis and analytical data systems design and implementation
• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
• Previous success in supporting a complex SaaS solution
• Desirable knowledge of object-relational mapping programming techniques, including Hibernate and JPA in Java

The Perks:

• A competitive salary, company bonus, health insurance, pension, wellbeing programme
• An exciting and dynamic role with career development opportunities and progression
• The opportunity to work with talented and diverse teams in an inclusive work environment
• A learning culture where continued learning & development is supported and encouraged
• Remote working options and a flexible environment that promotes wellness and work-life balance

Company Highlights:

• 20-30% YoY revenue growth since 2017
• Top private equity sponsorship from Luminate Capital Partners
• 70,000+ regulations and standards on the platform
• A marketing-leading retention rate over 95%