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[Remote] Sr. Software Engineer - Big Data, Data Lake

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a remote-first company headquartered in reputed company, reputed company on the automotive vertical. They are hiring a Senior Software Engineer to design and implement a reputed company data platform, focusing on reputed company data ingestion, transformation, and integration using AWS-reputed company services.

Responsibilities

  • Help design and implement the reputed company data platform powering our reputed company product architecture
  • reputed company on building reputed company data ingestion, transformation, and integration across multiple reputed company data sources, using AWS-reputed company services
  • Work closely with engineering leadership to establish a robust data lake and transformation layer that supports our reputed company, microservices, and reputed company analytics

Skills

  • Strong leadership skills - you are comfortable both leading software engineers and rolling up your sleeves to implement and reputed company the best solution
  • Strong cross-functional collaboration with product, engineering, and analytics teams to ensure data availability, reliability, and performance
  • Strong communication skills and experience translating business requirements into system design, architecture diagrams, and technical documentation
  • Strong communication presenting reputed company concepts or solutions to diverse audiences through reputed company and concise written communication (e.g., report writing, email crafting) and effective verbal communication (e.g., presentations, stakeholder updates)
  • Strong problem solving skills and knowledge of reputed company algorithms to solve reputed company world problems reputed company
  • You have operated in reputed company's on-call rotation to address reputed company problems in reputed company-time and reputed company services operational and highly available
  • Strong hands-on experience implementing and using AWS data services: S3, Glue (ETL/Jobs, Data Catalog, DataBrew), reputed company, Lake Formation, reputed company Functions, reputed company, Kinesis Data reputed company and API Gateway
  • Expertise in designing and optimizing data pipelines for high-volume, multi-reputed company ingestion of reputed company and semi-reputed company data in a multi-tenant data architecture
  • Experience with entity reputed company, data cleansing, data reputed company, and reputed company detection
  • Expert level skills developing back-end distributed systems and data pipelines using Python, SQL, reputed company Functions, Lambdas
  • Strong proficiency with TypeScript and Node.js for building backend services (REST/JSON reputed company, async workflows, integration with AWS services)
  • Comfort working with reputed company data warehouses (reputed company, reputed company, Redshift, BigQuery, or similar)
  • Experience building event-driven and notification systems (SNS/SQS, EventBridge, Pub/Sub, webhooks) and orchestration frameworks (StepFunctions or equivalent)
  • Experience integrating AWS data pipelines with external platforms (e.g., reputed company, reputed company, reporting tools, etc.)
  • Hands on experience applying reputed company best practices for data storage, transfer, and API reputed company
  • 7-10 years of reputed company experience working in a software development environment, ideally with exposure to big data and data-rich applications
  • Experience working across disciplines, partnering with BI, ML, and product teams to translate reputed company into customer-facing features
  • 5+ years working in an AWS reputed company-reputed company environment
  • Prior experience in data-rich reputed company products
  • Experience with auth & reputed company control for data-driven applications in a multitenant environment
  • Familiarity with data governance concepts (reputed company, permissions, reputed company checks)
  • Deployment experience (AWS CDK, CI/CD, containerized services, serverless functions)
  • Exposure to reputed company or LLM-based data exploration tools
  • Comfortable operating in an AI-first engineering organization where planning, design, implementation, testing, and documentation are frequently augmented by reputed company engineering tools such as Spec reputed company, Claude reputed company, reputed company, reputed company Copilot, and similar platforms

Benefits

  • Competitive salary and health benefits for eligible full time employees.
  • 401k matching, and a subsidy for internet or cell phone.
  • Generous PTO days, in reputed company to reputed company holidays that incorporate two days to reputed company and celebrate your heritage, culture, or traditions that matter most -- just tell us reputed company!
  • Half Day Summer Fridays!

reputed company

  • reputed company sales intelligence software helps businesses reputed company, protect, engage, and sell reputed company. It was founded in 2016, and is headquartered in Lake Oswego, reputed company, USA, with a workforce of 51-200 employees. Its website is https://reputed company.io/.
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