Senior Data Analytics & Operations Engineer

AssureSoft Corporation; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Great Place To Work certification

English scholarships

English classes with company teachers

State-of-the-art tools and resources

Certifications for professional growth

Recreation and leisure activities

Job summary

AssureSoft is seeking an experienced Analytics Engineer to own analytics and data infrastructure end-to-end in a fast-paced environment. You will design data models, ELT/ETL pipelines, and semantic layers to support BI and AI initiatives.

You will collaborate with stakeholders to automate reporting, ensure data quality, and enable scalable solutions. Proficiency in dbt, Redshift, QuickSight, AWS, Python, Docker, and SQL is highly valued.

Qualifications

• 6+ years of professional experience in analytics engineering, data engineering, BI, analytics, or related fields.
• Experience owning analytics and data infrastructure end-to-end with independent decision-making.
• Ability to work autonomously and tackle problems without constant guidance.
• Strong understanding of data warehousing, dimensional modeling, and modern analytics architectures.
• Extensive experience designing and maintaining ELT/ETL pipelines in production.
• Advanced SQL and data modeling with complex transformations.
• Hands-on experience with dbt, Redshift, QuickSight, AWS, Python, Docker, GitHub, and SQL.
• Experience evolving data platforms, data cleanup, reconciliation, and finance/business logic.
• Strong communication and stakeholder management skills.
• Advanced English.

Responsibilities

• Monitor and support daily ELT pipelines and reporting processes.
• Design, document, and maintain data warehouse models as source systems evolve.
• Develop and maintain semantic-layer and business intelligence data models.
• Support month-end reporting and recurring business processes.
• Improve and prepare data assets for AI-enabled workflows and automation initiatives.
• Design data transformations to improve data quality, consistency, accessibility, and usability.
• Troubleshoot data issues and support analytics requests across the organization.
• Serve as the primary technical resource for analytics infrastructure and reporting systems.
• Prepare internal metrics, analytics, and leadership reporting.
• Collaborate with stakeholders on data-driven initiatives and continuous improvements.

Skills

Autonomy

Communication

Problem solving

English proficiency

SQL

Data modeling

Tools

dbt

Amazon Redshift

Amazon QuickSight

AWS

Python

Docker

GitHub

SQL

Job description

AssureSoft is seeking an experienced Analytics Engineer to own analytics and data infrastructure end-to-end in a fast-paced environment. You will design data models, ELT/ETL pipelines, and semantic layers to support BI and AI initiatives.

You will collaborate with stakeholders to automate reporting, ensure data quality, and enable scalable solutions. Proficiency in dbt, Redshift, QuickSight, AWS, Python, Docker, and SQL is highly valued.