Engineer, Data Analytics

This is a Fully Remote Job

About Our Client:

This organization operates within the data analytics and technology sector, addressing challenges related to transforming complex data into actionable insights. It supports analytics and business teams by developing and maintaining data models and products that enable trusted, consistent, and efficient reporting and analysis.

About the Opportunity:

The ENGINEER, DATA ANALYTICS plays a critical role in designing, building, and maintaining analytics-ready data products and models that support reporting and insight generation. This position bridges business needs and analytical outcomes, ensuring data solutions are reliable, scalable, and align with governance standards, thereby enhancing decision-making capabilities.

Responsibilities:

• Design and maintain data models, marts, and semantic layers for consistent and performant analytics.
• Build and manage transformation and validation workflows using enterprise data assets.
• Develop engineering standards and modeling patterns to improve data consistency and adoption.
• Apply software engineering and DataOps practices to automate data workflows and improve reliability.
• Incorporate data security, governance, and quality requirements into data products.
• Collaborate with architecture, governance, and data teams to align standards and scalability.
• Optimize data models and processes for performance and cost efficiency in cloud environments.
• Partner with analytics, BI, data science, and business teams to translate needs into trusted datasets.
• Document reusable patterns and provide technical support and knowledge transfer.
• Support prototyping and scaling of new analytics and AI-assisted capabilities.
• Perform other assigned duties as needed.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Software Engineering, or related field, or equivalent experience.
• Minimum 5 years of experience in data analytics, analytics engineering, or related roles.
• Proven experience designing analytics-ready data models and transformation pipelines.
• Experience with cloud data platforms, data lakes, warehouses, APIs, and relational/structured data sources.
• Proficient in SQL and Python with knowledge of software engineering practices such as version control and testing.
• Ability to collaborate with analytics and business teams to develop durable data structures.
• Knowledge of data governance, quality, and security in analytics contexts.
• Preferred experience with AWS, dbt, Snowflake, Qlik, or similar technologies.
• Preferred experience with AI-assisted development or analytics automation.
• Commitment to compliance program objectives.
• Strong interpersonal skills for cooperative and respectful interaction.

Pay Range and Compensation Package:

• USD $101,335.35 to USD $126,669.19 per year.

Benefits & Perks:

• Health, dental, and vision insurance.
• 20 days paid time off.
• 4 weeks paid parental leave.
• 9 paid holidays.
• 401(k) company match up to 5% with no vesting requirement.
• Adoption assistance program.
• Flexible spending account.
• Educational assistance and professional membership support.
• Referral bonus program up to $750.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.