AssetWatch® · 1 day ago
Data Engineer
United States
Full-time
Remote
Entry, Mid Level
2+ years expAssetWatch is a company focused on enhancing manufacturing uptime through advanced condition monitoring solutions. They are seeking a Data Engineer to design, manage, and optimize backend data infrastructure and pipelines, ensuring seamless data flow and availability for predictive maintenance solutions.
Big DataIndustrial AutomationInternet of ThingsMachine LearningPredictive Analytics
Responsibilities
Collaborate closely with the Data Architect and other stakeholders to translate data models and product requirements into scalable data solutions
Develop and maintain ETL/ELT pipelines that ingest, process, validate, and load data across AWS environments while adding observability to the processes
Build and manage data workflows using AWS Glue, Lambda, and Step Functions to support real-time and batch processing
Work within structured S3 Raw, Curated, and Consumption zones, ensuring data quality and consistency
Participate in establishing data standards, naming conventions, and metadata practices
Incorporate AI-assisted development tools to enhance data scrubbing, anomaly detection, and transformation logic within ETL/ELT pipelines
Proactively use AI tools to improve engineering velocity, reduce manual rework, and elevate overall pipeline reliability and maintainability
Use Terraform to define and manage data infrastructure in a repeatable, auditable manner
Troubleshoot data issues, performance bottlenecks, and pipeline failures with a proactive mindset
Implement data validation, monitoring, and quality checks to ensure reliability of pipelines
Load, maintain, and optimize datasets in Redshift Serverless, Aurora MySQL, DynamoDB, and Timestream
Write and optimize performant SQL queries, stored procedures, and database schemas using MySQL
Monitor, manage, and optimize alerting systems including Sentry and Slack integrations to proactively address infrastructure and database health
Create, manage, and improve infrastructure-as-code (IaC) scripts and Terraform templates
Work closely with Data Team to follow and mature best data practices including integration pipeline strategy
Collaborate with Product and Engineering Teams to identify, plan, and implement system improvements, addressing technical debt and enhancing overall data stack efficiency
Participate actively in managing and coordinating production deployments and production support
Conduct thorough code reviews, support and guide Engineering Teams with backend best practices, and maintain comprehensive documentation
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field
2–4 years of experience in a data engineering role or similar environment
Hands-on experience building ETL/ELT jobs with AWS services such as Glue, Lambda, and Step Functions
Experience with orchestration tools like Airflow
Strong proficiency in Python and SQL
Experience working with Redshift Serverless, Aurora MySQL, Timestream, DynamoDB, or similar databases
Comfortable designing and managing S3-based data lakes with structured zone patterns and datalakes
Experience implementing infrastructure-as-code using Terraform
Solid understanding of data modeling principles and performance optimization
Detail-oriented with a focus on quality, reliability, and maintainability
Excellent problem-solving abilities, organizational skills, and ability to manage multiple priorities effectively
Strong communication skills, both written and verbal, facilitating collaboration across diverse technical teams
Proven experience designing and implementing backend solutions in complex, scalable cloud environments
A proactive learner, eager to explore new technologies and methodologies
Comfortable in dynamic, collaborative environments, able to work independently and in teams
Preferred
Knowledge of big data ingestion and scalable data ingestion processes
Experience working on data ingestion/storage in a start-up environment
Benefits
Competitive compensation package including stock options
Flexible work schedule
Comprehensive benefits including retirement plan match
Opportunity to make a real impact every day
Work with a dynamic and growing team
Unlimited PTO
Company
AssetWatch®
Predictive Maintenance Simplified.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$166.14MKey Investors
Viking Global InvestorsWellington ManagementG2 Venture Partners
2025-04-30Series C· $75M
2024-02-21Series B· $38M
2022-06-27Series A· $9M
Leadership Team
Will Zell
Co-Founder & Executive Chairman
Recent News
2025-07-04
2025-05-02
Company data provided by crunchbase