Senior Data Engineer (Snowflake) at Miratech

Yakima, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, Snowflake, DBT, Apache Airflow, SQL, Data Warehousing, ELT Patterns, Git, CI/CD, Agile Delivery, Cloud-Based Solutions, Leadership, Performance Optimization, Data Quality, Governance, Compliance

Industry

IT Services and IT Consulting

Description

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Senior Data Engineer to join the Enterprise Data Platform (EDP) team. The role focuses on building, maintaining, and optimizing scalable data pipelines that power investment, risk, research, and analytics use cases across the organization. As a senior member, you will drive architectural decisions, lead complex initiatives, mentor junior engineers, and ensure the robustness and scalability of the data platform. Key Responsibilities: Architect, design, and deliver end-to-end EDP data solutions using Python, Airflow, DBT, and Snowflake, ensuring alignment with enterprise standards and scalability goals. Lead complex, cross-system data pipeline initiatives, driving performance optimization, cost efficiency, and engineering best practices across teams. Define and govern enterprise-wide data modelling and transformation frameworks, reviewing and validating DBT models across levels. Set strategic direction for orchestration, monitoring, reliability, and operational excellence of distributed data pipelines. Establish robust data quality, governance, security, and compliance frameworks in partnership with governance and business stakeholders. Act as a technical leader and domain expert—mentoring engineers, influencing architecture, owning delivery, and shaping long-term data roadmaps. Qualifications 6+ years of experience in Data Engineering. Strong hands-on experience with Python, Snowflake, DBT, and Apache Airflow. Solid understanding of SQL, data warehousing concepts, and ELT patterns. Experience working with large-scale, structured financial datasets. Familiarity with Git, CI/CD, and agile delivery practices. Proven experience architecting scalable, cloud-based data pipelines and analytical solutions. Strong leadership skills and the ability to guide technical conversations and engineering decisions. Nice to Have: Experience in investment, risk, or financial data domains. Knowledge of performance tuning and cost optimization in Snowflake. Exposure to data quality frameworks and metadata management. Understanding of cloud platforms (AWS/Azure/GCP). Additional Information We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Responsibilities

The Senior Data Engineer will architect, design, and deliver end-to-end data solutions while leading complex data pipeline initiatives. They will also mentor junior engineers and ensure the robustness and scalability of the data platform.