Full-Time
Senior Data Engineer
Data & Analytics
Posted on 8/21/2025
qode.world
51-200 employees
AI-powered talent acquisition for tech roles
No salary listed
Ohio, USA
In Person
 Data & Analytics (1) |
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- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
- 6+ years of professional experience in data engineering, with proven expertise in large-scale data environments.
- Strong proficiency in SQL, Python, and one or more data processing frameworks (e.g., PySpark, Spark, Hadoop).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP), particularly cloud-native data services (e.g., Databricks, Snowflake, Redshift, BigQuery, Synapse).
- Experience with data pipeline orchestration tools (Airflow, ADF, Luigi, etc.).
- Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT design patterns.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and communication skills.
- Design, build, and optimize large-scale data pipelines and ETL/ELT processes using modern data engineering tools and cloud technologies.
- Develop and maintain scalable data architectures to support advanced analytics and reporting requirements.
- Collaborate with cross-functional teams (data scientists, analysts, business units) to understand data needs and deliver reliable data solutions.
- Ensure data quality, governance, and security across all data platforms.
- Implement best practices for data ingestion, transformation, and storage in cloud and on-prem environments.
- Monitor, troubleshoot, and improve performance of data systems.
- Mentor junior engineers and contribute to the establishment of engineering standards and practices.
- Experience in automotive/manufacturing industry or with IoT/connected vehicle data.
- Familiarity with real-time data streaming technologies (Kafka, Kinesis, Event Hubs).
- Exposure to MLOps pipelines and supporting data science workflows.
- Knowledge of DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes).
Qode.world focuses on recruiting specialized tech roles. It uses AI to streamline assessments through customizable AI interviewers and live interviews, and it integrates with LinkedIn to build a talent pool and message candidates. The platform provides data-driven insights from global data points to improve candidate matching. Revenue comes from tailored recruitment services targeting niche and senior positions, aiming to increase hiring efficiency and speed for clients. Compared to competitors, Qode.world emphasizes niche tech expertise, scalable AI interview workflows, and direct candidate communication via LinkedIn, which helps quickly identify qualified candidates from a broad network.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Singapore
Founded
2023
Simplify's Take
What believers are saying
- GenAI talent assessment adoption among Fortune 500 firms grew 40%+ in 2025-2026, expanding TAM.
- Technical recruiting for emerging roles shows 35% YoY demand growth with 90+ day time-to-hire gaps.
- Financial services sector accelerating digital transformation hiring; Qode has existing vertical expertise.
What critics are saying
- LinkedIn API restrictions block access to 500M+ profiles; probability 70-90% within 3-6 months.
- EU AI Act enforcement fines €20M+ for high-risk recruitment AI lacking certified bias audits.
- OpenAI's 2026 recruitment fine-tuning models enable enterprises to build in-house tools at 1/3 cost.
What makes qode.world unique
- AI-powered sourcing accesses 500M+ global profiles with precision ranking and automated outreach sequences.
- Tracy AI interviewer conducts structured, bias-free assessments in 30+ languages with integrity monitoring.
- Unified platform consolidates sourcing, ATS, interviews, and hiring decisions in single enterprise environment.
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Benefits
Hybrid Work Options