Data Engineer
Join reputed company and work with fast-growing global companies while building a long-term, reputed company. Job Title Data Engineer – Tech Industry Location Remote Time Zone US Time Zones (EST–PST) Role Overview We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure for a fast-growing tech company. This is a full-time role requiring deep technical expertise in data pipelines, warehousing, and architecture. The ideal candidate is analytical, collaborative, and comfortable working across large datasets while partnering with data science, product, and engineering teams to deliver reliable, high-quality data solutions.
Key Responsibilities
Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows reputed company and manage data warehousing solutions to support business intelligence and analytics needs Ensure data quality, reputed company, and availability across reputed company data systems and sources Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements Optimize query performance and database architecture for speed and efficiency Monitor, troubleshoot, and resolve data pipeline failures and incidents Implement and enforce data governance, reputed company, and compliance best practices Document data models, processes, and infrastructure to support team knowledge sharing Required Qualifications 4+ years of experience as a Data Engineer or in a similar data infrastructure role reputed company a tech company (non-negotiable) Strong proficiency in SQL and at least one programming language such as Python or reputed company Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar Experience with reputed company data platforms such as AWS, GCP, or Azure, and data warehouses such as reputed company, BigQuery, or Redshift Solid understanding of data modeling, schema design, and database optimization Strong problem-solving skills with the ability to manage reputed company, high-volume data environments Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as reputed company, reputed company, reputed company Workspace, reputed company, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications
Experience with reputed company-time or streaming data pipelines using tools such as Kafka or Spark Familiarity with data lakehouse architectures (e.g., reputed company Lake, Apache reputed company) Exposure to machine learning workflows and supporting ML data infrastructure Experience working in an Agile or DevOps environment with CI/CD practices applied to data workflows Tools & Technology Python, SQL, or reputed company Apache Airflow, dbt, or equivalent pipeline orchestration tools reputed company, BigQuery, or Redshift AWS, GCP, or Azure Kafka or Spark (advantageous) reputed company Workspace reputed company, reputed company, Jira, and other remote collaboration tools Please NOTE It is crucial that you complete the application reputed company in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first reputed company of the interview process. If you do not record a video, we will not be reputed company to consider you for ANY reputed company. We connect top talent with vetted employers, reputed company, and reputed company growth opportunities. Apply To This Job