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# Data Engineer, Cloud Platform

- **Company:** Contoro Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Business Analytics Applications, Automation of Tests, Cloud Engineering, Data Visualization, Database Queries, Protocol Buffers, JSON, Python (Programming Language), PostgreSQL, Message Queuing Telemetry Transport (MQTT), Operational Data Store, Operational Databases, Query Optimization, SQL Databases, Workflow Management Systems, Cloud Platform System, Data Ingestion, Grafana, Event Driven Architecture, Information Technology, Avro, Data Analytics, Apache Kafka, Stream Processing, Data Pipelines, Docker
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1cde89460a41c5d9

## About the Role

Please apply only if you have professional experience building production data pipelines, analytics platforms, telemetry systems, or event-driven architectures., + 3+ years of experience building and maintaining production data pipelines

 + Experience designing event schemas, data contracts, or analytics data models
 + A proven track record of supporting business analytics, reporting, or operational metrics
 * Technical Expertise
 + Proficiency with Python, Docker, and SQL databases in a production software environment
 + Strong SQL skills, including aggregations, time-series analysis, and query optimization
 + Experience with data pipeline technologies (e.g., Kafka, MQTT, Fluent Bit, PostgreSQL, TimescaleDB)
 + Experience building automated tests to ensure data accuracy and pipeline reliability
 * Soft Skills
 + Strong sense of ownership, urgency, and curiosity
 + Excellent communication skills-both verbal and written
 + Ability to work collaboratively across cross-functional teams, + Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience)
 * Work Location
 + Willingness to work on-site at our Austin, TX headquarters

Preferred Experience

 * Experience with data ingestion, workflow orchestration, and stream processing technologies (e.g., Fluent Bit, Kafka Connect, Airflow, Dagster, Prefect)
 * Familiarity with schema management and data contracts (JSON Schema, Avro, Protobuf, etc.)
 * Experience with robotics, IoT, industrial automation, or other distributed edge-connected systems
 * Knowledge of analytics platforms and visualization tools such as Grafana
 * Familiarity with AWS services and cloud-native architectures

## Description

* End-to-End Analytics Data Pipeline
 + Own the company-wide catalog of metrics, events, schemas, and data contracts
 + Ensure telemetry is correctly instrumented across products and edge cases
 + Design and evolve event-driven data architectures, including telemetry ingestion, schema evolution, and downstream data consumers
 + Improve the reliability, scalability, and observability of data pipelines spanning robots and cloud systems
 * Analytics Data Quality
 + Develop automated tests and validation systems to ensure telemetry accuracy and prevent regressions
 + Monitor and improve data quality, schema compliance, and end-to-end metric delivery
 + Establish best practices for analytics instrumentation, testing, and governance
 * Analytics Reporting
 + Design and maintain analytical data models, aggregations, and pre-calculated metrics for fast reporting
 + Develop performant SQL queries and time-series analytics pipelines
 + Build self-service analytics capabilities, metrics APIs, and reporting datasets that enable teams to reliably consume operational data at scale


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