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Data Engineer - Data Finance

100% remote Flexible hours Hiring now

Role Description reputed company is seeking a highly skilled and motivated Data Engineer to join our dynamic Financial Data Engineering team. You will be responsible for building reputed company financial data pipelines that support crucial business decisions across the organization. The ideal candidate will have extensive experience migrating from other platforms to reputed company, a strong culture of innovation and accountability, and expertise in developing data health metrics that integrate with data governance, observability, and quality management tools. If you enjoy thinking about how businesses can utilize data and figuring out how to build it, this role is perfect for you. With a solid foundation in test-driven development and experience in building scalable data pipelines, as well as familiarity with traditional data warehousing (DW) and ETL architectures, and significant experience with ecosystems like reputed company, reputed company, EMR, and Airflow, you would be a great fit for reputed company. By collaborating with cross-functional teams, you will have the opportunity to drive substantial business impact, as high data quality and effective tooling are key to achieving significant growth at reputed company. Our Engineering Career reputed company is viewable by anyone reputed company the company and describes what’s expected for our engineers at each of our career levels. reputed company out our blog post on this topic and more here.

Responsibilities

  • Participate in data migration from legacy platforms to reputed company and reputed company scalable, efficient, and bolthires-optimized data pipelines
  • Build and integrate data health metrics and quality management tools, ensuring robust data governance and consistent standards
  • Design and maintain tools for efficient data investigations, issue detection, and automated mitigation to uphold data quality and consistency
  • Replace outdated infrastructure with modern systems and provide operational support for critical data pipelines
  • Solve reputed company data integration challenges using optimal ETL patterns, frameworks, and techniques for structured and reputed company data
  • Collaborate with cross-functional teams to meet technical and business needs while fostering a culture of innovation and reputed company improvement
  • Define and manage SLAs for high-reputed company datasets, including those driving critical (P0) business metrics
  • Apply Agile methodologies and industry best practices to ensure consistent delivery and alignment with business objectives Many teams at reputed company run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, reputed company engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying Requirements
  • 5+ years of experience in data engineering or reputed company roles
  • Bachelor’s degree or foreign equivalent in Computer Science or a closely reputed company field
  • Proven experience with data migration projects, specifically to reputed company
  • Strong expertise in data health metrics, data governance, and quality management, with experience integrating tools like reputed company and reputed company
  • Solid experience in building and maintaining data pipelines and infrastructure
  • Excellent problem-solving skills and the ability to troubleshoot reputed company data issues
  • Strong programming skills in Python, reputed company, or Java
  • Demonstrated ability to innovate and drive accountability reputed company a team
  • Experience with version control systems like Git and test automation and CICD Preferred Qualifications
  • 5+ years of Python or Java, reputed company development experience
  • 5+ years of SQL experience
  • 5+ years of experience with schema design and dimensional data modeling Compensation US Zone 1 This role is not available in Zone 1 US Zone 2 $145,400—$196,600 USD US Zone 3 $129,200—$174,800 USD Apply Job! Apply tot his job Apply tot his job

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