Software Engineer
About The Position
About Ascential Technologies: Ascential Technologies is a global leader in automated diagnostic, inspection, assembly, and test systems. We serve mission-critical industries including automotive (EOL testing, ADAS), aerospace, industrial automation (balancing, grinding, test stands), and medical & life sciences (instruments, devices, consumables, and automation). Our solutions help customers accelerate innovation, ensure safety, and improve performance across the product lifecycle. Role Overview: We are seeking an experienced Data Engineer/Analyst to join our team to lead and support the ongoing development of our data analytics platform. This individual will play a critical role in building, maintaining, and enhancing scalable data systems while also supporting customers and internal teams. The role requires strong technical expertise in data engineering, analytics, visualization, and AI integration along with proven experience managing on-prem and cloud-based stacks.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 5-10 years of professional experience in data engineering, data science or analytics roles for both on-prem and cloud environments.
- Proven expertise of ELK, OpenSearch, and/or OpenTelemetry.
- Strong programming and scripting skills (e.g., Python, Bash, PowerShell).
- Experience with data cleaning, transformation, and preprocessing for engineering/industrial data.
- Hands-on experience with cloud deployments (Elastic Cloud, AWS, Azure, or GCP).
- Proficiency with visualization frameworks (Kibana, OpenSearch Dashboards, Grafana).
- Experience with core programming principles and design patterns.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities with both technical and customer stakeholders.
Nice To Haves
- Experience working with industrial protocols and PLC integration.
- Familiarity with containerization (Docker, Kubernetes).
- Experience incorporating cybersecurity principles for secure data handling.
- Experience with REST APIs and microservices architectures.
- Background in test and measurement systems for automotive, aerospace, or medical device industries.
- Prior experience in customer-facing engineering roles.
- Knowledge of test and measurement systems in automotive, aerospace, or medical device industries.
Responsibilities
- Design, develop, and maintain advanced data collectors for diverse industrial, aerospace, automotive, and medical systems.
- Architect robust data pipelines for on-premises and cloud environments (Elastic Cloud, OpenSearch).
- Analyze machine-generated log files from test stands, medical devices, and automation systems.
- Clean and preprocess data to remove duplicates, noise, and errors.
- Implement updates and enhancements to accommodate evolving data file types and formats (CSV, SQL, PLC logs, text, etc.).
- Augment datasets with derived features to enhance analytical value.
- Optimize performance, scalability, and fault tolerance of ingestion pipelines.
- Design and implement dashboards tailored to specific test and measurement applications.
- Apply standard dashboard templates to new and existing datasets.
- Generate reports and visual summaries for internal and customer-facing use.
- Provide automatic report generation using AI/LLM frameworks to summarize data, generate insights and guidance on performance improvements, provide predictive analytics, anomaly detection, and automated recommendations.
- Develop and deploy data collectors for machines across automotive, aerospace, and medical domains.
- Configure systems to monitor, clean, transform, and ingest data into cloud platforms.
- Ensure data pipelines are robust, scalable, and secure.
- Integrate new communication protocols (e.g. PLCs of different makes/models) and data formats; adapt to customer-specific software platforms
- Set up thresholds and integrate webhooks for real-time alerts and notifications.
- Investigate and resolve issues related to data collectors, dashboards, and ELK stack components.
- Collaborate directly with customers to gather requirements, resolve tehnical issues, and deliver solutions.
- Provide guidance to internal teams, mentoring junior engineers and analysts.
- Participate in daily standups and agile team activities.
- Review and provide feedback on new datasets and data models.
- Perform backups and conduct code reviews for data-related components.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
