Note: The job is a remote job and is open to candidates in USA. Success Recruitments is seeking an experienced Data Engineer to build and improve the data infrastructure powering analytics, reporting, automation, and business decision-making. The role focuses on designing scalable data solutions, developing reliable pipelines, improving data quality and performance, and partnering with technical and business teams to deliver trusted data.
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines
- Develop reliable ETL/ELT workflows across multiple systems and data sources
- Build and optimize data models for analytics, reporting, operational systems, and machine-learning use cases
- Improve data quality, reliability, availability, and performance
- Integrate data from APIs, databases, SaaS applications, event streams, and third-party sources
- Partner with analysts, data scientists, software engineers, and business stakeholders to translate requirements into production-ready solutions
- Monitor pipelines and proactively resolve failures, bottlenecks, and data-quality issues
- Optimize SQL queries, storage strategies, partitioning, and processing workloads
- Build reusable frameworks and components that reduce engineering effort
- Develop testing and validation processes for pipelines and transformations
- Support data governance, lineage, documentation, access control, and security practices
- Automate repetitive or manual data processes
- Participate in architecture discussions and contribute to the evolution of the data platform
- Troubleshoot complex production issues and implement long-term solutions
- Influence the direction of the data platform
- Own projects from architecture through production deployment
- Solve complex scalability and reliability challenges
- Work with modern cloud and data technologies
- Reduce technical debt and improve engineering standards
- Build systems used by analysts, engineers, data scientists, and business leaders
- Introduce automation that eliminates repetitive work
- Contribute to high-impact initiatives across the organization
Skills
- • 4+ years of experience in Data Engineering, Software Engineering with a data focus, Analytics Engineering, or a related role
- • Advanced SQL skills and experience working with large datasets
- • Proficiency in Python, Java, Scala, or a comparable programming language
- • Experience building production-grade ETL/ELT pipelines
- • Strong understanding of relational and analytical data modeling
- • Experience with cloud-based data platforms
- • Knowledge of data warehouses, data lakes, or lakehouse architectures
- • Experience integrating structured and unstructured data from multiple sources
- • Strong understanding of data quality, testing, monitoring, and reliability
- • Strong debugging, analytical, and problem-solving skills
- • Ability to communicate effectively with technical and non-technical teams
- • Ability to work independently in a distributed remote environment
- Experience with several of the following is highly valuable:
- Candidates should be comfortable working independently while collaborating closely with distributed engineering, analytics, product, and business teams
- Occasional travel or in-person collaboration may be required depending on business needs
- • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, Mathematics, or a related field preferred
- • Equivalent professional experience may be considered
- • Relevant cloud, engineering, or data-platform certifications are a plus
Benefits
- Performance-based incentives where applicable
- Medical, dental, and vision coverage
- 401(k) retirement benefits
- Paid time off and company holidays
- Fully remote work flexibility
- Professional development and technical training
- Certification support
- Career advancement opportunities
- Employee wellness and assistance programs
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