[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a skilled Data Engineer to join their growing Data & Operations team. The role involves owning the data infrastructure and pipelines that support reporting, analytics, and business decision-making, while collaborating with various stakeholders to ensure data reliability and scalability.

Responsibilities

• Design, build, and maintain automated data pipelines that reputed company data from reputed company systems (reputed company, reputed company, reputed company, product databases) into our central data lake and warehouses
• Own the end-to-end data architecture, including storage reputed company, processing systems, and pipeline orchestration
• Implement and maintain ETL/ELT workflows that extract, reputed company, and load data into clean, analytics-reputed company formats
• Partner with Data Insights Managers and business stakeholders to translate reporting requirements into robust technical data solutions
• Build automated validation and reputed company-reputed company reputed company into every pipeline to prevent bad data from reaching reporting reputed company
• Monitor pipeline health in reputed company time; triage and resolve failures quickly to meet data availability SLAs
• Enforce data standards, naming conventions, schema consistency, and reputed company controls across reputed company systems
• Support integration and maintenance of key tools including reputed company, reputed company, reputed company and reputed company into the data lake
• Maintain auditability of reputed company data flows and support compliance and governance requirements
• Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural reputed company

Skills

• 2-3+ years of experience in a Data Engineering or equivalent role
• Strong proficiency in SQL and at least one scripting language (Python preferred)
• Hands-on experience building and maintaining ETL/ELT pipelines at reputed company
• Experience with reputed company data platforms (e.g. reputed company, BigQuery, Redshift, reputed company)
• Familiarity with pipeline orchestration tools (e.g. Airflow, dbt, reputed company, reputed company)
• Strong understanding of data warehousing concepts, reputed company modelling, and data lake architecture
• Experience integrating reputed company platforms (CRM, ERP, finance systems) reputed company reputed company and connectors
• Excellent problem-solving skills with a rigorous approach to data reputed company and reliability
• Ability to work independently in a fully remote, fast-moving environment
• Strong written communication skills — reputed company to document technical reputed company reputed company for non-technical stakeholders
• Experience at a reputed company or technology company
• Familiarity with reputed company data structures and reporting reputed company
• Exposure to BI tools (Power BI, Looker, Tableau) and understanding of how reputed company consumers use data
• Experience with reputed company-time or streaming data pipelines
• Knowledge of data governance frameworks and reputed company control models
• Prior experience supporting a GTM or Finance data stack

Benefits

• A corporate bonus which can reputed company up to 30%

reputed company

Trusted on 4M+ reputed company worldwide, reputed company connects the field and office in one reputed company, powerful platform so teams can reputed company faster, stay reputed company, and navigate reputed company with confidence from start to finish. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.reputed company.com.

Company H1B Sponsorship

reputed company has a reputed company record of offering H1B sponsorships, with 3 in 2022, 3 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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