Data Analytics and 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

The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work.

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.

Requirements

• 6+ years of professional experience in analytics engineering, data engineering, business intelligence, analytics, or related fields
• Proven experience owning analytics and data infrastructure end-to-end, including the ability to make technical and architectural decisions independently.
• Demonstrated ability to operate with a high degree of autonomy and self-sufficiency, identifying problems, defining solutions, and executing them without requiring constant guidance.
• Strong understanding of data warehousing, dimensional modeling, semantic-layer concepts, and modern analytics architectures.
• Extensive experience designing, building, maintaining, and troubleshooting ELT/ETL pipelines in production environments.
• Advanced SQL and data modeling skills, including experience working with complex transformations and business logic.
• Strong hands-on professional experience with dbt, Amazon Redshift, Amazon QuickSight, AWS, Python, Docker, GitHub, and SQL.
• Experience maintaining and evolving existing data platforms, including legacy data cleanup, data reconciliation, and complex financial or business logic.
• Strong problem-solving and troubleshooting skills, with the ability to independently investigate ambiguous data, pipeline, reporting, or infrastructure issues.
• Startup mindset: proactive, adaptable, resourceful, and comfortable working in environments where priorities, systems, and requirements evolve quickly.
• Strong communication, documentation, and stakeholder management skills, including the ability to translate business requirements into scalable technical solutions.
• Advanced English.

Nice to Have

• Experience designing or building analytics infrastructure from the ground up.
• Experience with CI/CD workflows for analytics or data engineering systems.
• Experience improving data quality, observability, governance, and reliability across complex data environments.
• Knowledge of data governance practices and experience in healthcare, finance, or other regulated industries.

About Us

AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning.

Inclusive Opportunities for Every Talent.

At AssureSoft, we believe that true innovation is born from diversity-of ideas, experiences, and perspectives. That is why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity.

Here, every person-regardless of origin, gender, orientation, or beliefs-finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.

What sets us apart

• Great Place To Work certification.
• A company with more than 15 years of experience.
• Work with world-class clients and long-term projects.
• English scholarships for an external institute.
• English classes with company teachers.
• State-of the art tools and resources.
• Certifications for your professional growth.
• Recreation and leisure activities.
• Compliance with the regulations and labor rights of your region.

Retention of your personal information:

AssureSoft will retain your personal information for as long as necessary to fulfill the purposes for which it was collected or as necessary to comply with our legal obligations, resolve disputes, and maintain appropriate business records. Once the purpose has been fulfilled, your personal information will be retained and blocked due to the possibility of legal and governmental requirements, and until the status of limitations has run out.

Important Notice Regarding Personal Information: If you do not want your personal and professional information to be retained in our database, please send your request for data removal to [e-mail].