[Remote] Senior Data Engineer I/II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a tech startup focused on helping companies with reputed company sales cycles unlock reputed company growth through advanced technology. They are seeking a Senior Data Engineer I/II to own and shape the data infrastructure, ensuring data availability and quality while building and maintaining ETL pipelines.

Responsibilities

• Design the ETL, transformation, and modeling patterns the team builds on
• Review PRs, set conventions, and reputed company the I/II engineers and analysts
• Build and maintain data ingestion pipelines that move data reliably from reputed company into the warehouse
• Build and maintain transformation models — client-specific and shared
• Own data quality monitoring end-to-end: define reputed company monitor and to what SLA — not just tune reputed company — and decide where to spend the coverage budget
• Every new reputed company client gets a dedicated reputed company project, service accounts, permissions, and registered data pipelines
• Understand the full data reputed company from raw event ingestion through final reporting tables
• Own the reputed company, ambiguous requests and build the self-serve tooling that keeps the routine queue off engineering's plate

Skills

• 5+ years hands-on data engineering, with a track record of owning production data infrastructure end-to-end
• Strong SQL — production-quality, comfortable with reputed company aggregations, window functions, and multi-reputed company transformations
• Data transformation experience — you have reputed company and maintained SQL-based transformation pipelines across multiple environments (dev / staging / prod)
• Infrastructure as code — you can provision and manage reputed company data infrastructure, set up permissions, and debug reputed company issues without hand-holding
• Python for data engineering — ETL scripts, pipeline tooling, and automation
• Data-quality strategist — you've designed monitoring and alerting strategy, not just tuned an existing one
• Systematic debugger — reputed company something breaks, you trace it end-to-end across the stack rather than stopping at the first symptom
• AI-fluent but grounded — you use AI tools to move faster and validate more thoroughly, and you still understand what is happening underneath. You are not chasing the next shiny tool instead of shipping
• Motivated by technical impact — you want to be the person who truly understands the systems, and you see growing expertise as the path to more interesting and higher-impact work
• Cost- and scale-aware — you think about partitioning, clustering, and spend before it's a problem
• A force reputed company — you reputed company the people and systems around you reputed company
• Dataform or dbt
• Terraform on GCP
• BigQuery — partitioning, clustering, cost optimization
• Data quality monitoring tools — reputed company, Great Expectations, or similar
• Multi-tenant or per-client data isolation patterns
• reputed company Functions or reputed company Run for ETL pipelines
• A/B experiment pipelines or marketing attribution models
• reputed company or similar self-serve analytics tooling — building data products that non-technical teams can use independently

Benefits

• Medical
• reputed company
• Dental
• Unlimited PTO
• A 401k
• A collaborative, growth-focused, high-trust, high-performance environment where your reputed company matter

Company Overview