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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 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
Senior Data Engineer
Location
United States
Posted
104 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Miratech
• Design, build, and scale robust ETL pipelines to support complex data workflows while ensuring high performance, reliability, and adaptability to evolving business needs. • Automate and manage data ingestion from diverse sources (databases, APIs, cloud platforms), ensuring system resilience, fault tolerance, and failover readiness. • Optimize data storage, processing, and retrieval layers to balance performance, scalability, and cost efficiency across the data platform. • Modernize and enhance legacy data systems by identifying gaps, implementing architectural improvements, and aligning solutions with future business requirements. • Lead technical excellence within the data engineering function through mentorship, code reviews, best-practice enforcement, and adoption of advanced tools and frameworks. • Ensure end-to-end data quality, integrity, and governance by implementing validation, monitoring, testing, and compliance-focused data controls. • Collaborate cross-functionally with analytics, product, engineering, DevOps, and business stakeholders to translate requirements into scalable data models and transformations. • Drive a data-driven culture and long-term data strategy by enabling self-service analytics, maintaining clear documentation, leading training initiatives, and contributing to architecture roadmaps and governance policies.
Job Requirements
- 10+ years of hands-on experience in Data Engineering
- Bachelor’s degree in Data Engineering, Computer Science, Data Analytics, or a related field is required. Master’s degree preferred.
- Advanced proficiency in Python and SQL, with proven experience in ETL pipeline development.
- Experience with cloud data platforms such as AWS, GCP, or Azure, including cloud-native data engineering tools and services.
- Strong understanding of modern data architecture patterns, including batch processing, streaming, and event-driven systems, along with industry best practices.
- Demonstrated ability to optimize data workflows, troubleshoot complex data issues, and ensure high performance, scalability, and reliability of data systems.
- Strong project management skills, with the ability to work independently, manage priorities, and deliver high-quality outcomes in a fast-paced environment.
- Nice to Have Hands-on experience with modern data platforms and tools such as data warehouses/lakehouses (Snowflake, Redshift, BigQuery), big data or streaming frameworks (Spark, Kafka), and data orchestration tools (Airflow or equivalents).
- Previous experience working with large-scale healthcare or insurance organizations.
Benefits
- Culture of Relentless Performance: Join a technology-driven team with a 99% project success rate and over 30% year-over-year revenue growth.
- Competitive Pay and Benefits : Comprehensive compensation package including health insurance and relocation support.
- Work From Anywhere Culture : Flexibility to work remotely.
- Growth Mindset: Access to certification programs, mentorship, internal mobility, and continuous learning opportunities.
- Global Impact: Work on impactful projects with leading global clients.
- Welcoming Multicultural Environment: Inclusive, collaborative, and supportive workplace with regular team-building activities.
- Social Sustainability Values: Commitment to IT education, community empowerment, fair practices, environmental sustainability, and gender equality.
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• Will work in a squad, actively participating in ceremonies, discussions, supporting decision-making and resolving conflicts • Responsible for ensuring the quality and security of delivered software • Communicate designs in a way that team members can understand • Integrate the system with new or modified software components
• Engineering and designing secure, scalable solutions that span sensors to cloud • Collaborating with clients and sales teams to enable IT/OT Convergence Solutions • Proposing secure solutions including Digital Infrastructure and Cybersecurity • Delivering operational impact through proof-of-concepts • Facilitating quality handovers to internal execution teams • Identifying process improvements and emerging technology trends
• Develop reusable, metadata-driven data pipelines • Automate and optimize any data platform related processes • Build integrations with data sources and data consumers • Add data transformation methods to shared ETL libraries • Write unit tests • Develop solutions for the Databricks data platform monitoring • Proactively resolve any performance or quality issues in ETL processes • Cooperate with infrastructure engineering team to set up cloud resources • Contribute to data platform wiki / documentation • Perform code reviews and ensures code quality • Initiate and implements improvements to the data platform architecture
