Full-Time
Senior Data Engineer
Data & Analytics
Posted on 9/12/2025
qode.world
51-200 employees
AI-powered talent acquisition for tech roles
No salary listed
Cleveland, OH, USA + 2 more
More locations: Dallas, TX, USA | Pittsburgh, PA, USA
In Person
Job is based in Pennsylvania, Texas, and Ohio.
 Data & Analytics (1) |
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- 10+ years of experience in Data Engineering, with at least 5+ years in Hadoop & PySpark
- Strong expertise in Hadoop ecosystem (HDFS, Hive, HBase, Oozie, Sqoop, Kafka, etc.)
- Proficiency in PySpark, Python, and SQL for data transformation and analytics
- Hands-on experience with ETL/ELT processes, data modeling, and performance tuning
- Familiarity with data governance, lineage, and security best practices
- Experience integrating Hadoop with cloud platforms (AWS EMR, Azure Databricks, GCP Dataproc, etc.)
- Strong understanding of distributed computing, parallel processing, and big data architecture
- Excellent problem-solving, communication, and leadership skills
- Design, build, and optimize large-scale data pipelines for structured and unstructured data
- Develop and maintain data ingestion, transformation, and integration workflows using PySpark, Hadoop (HDFS, Hive, HBase), and related ecosystem tools
- Implement best practices for data modeling, performance tuning, and pipeline optimization
- Collaborate with data scientists, analysts, and business stakeholders to deliver reliable and scalable data solutions
- Ensure data quality, security, and governance across data platforms
- Provide technical leadership and mentoring to junior data engineers
- Partner with cloud teams to integrate Hadoop/PySpark workloads with cloud platforms (AWS/Azure/GCP)
- Troubleshoot, monitor, and optimize ETL workflows for high availability and performance
- Drive innovation by evaluating and recommending emerging technologies in the big data ecosystem
- Experience in the banking or financial services industry
- Exposure to streaming technologies (Kafka, Spark Streaming, Flink)
- Familiarity with DevOps, CI/CD pipelines, and containerization (Docker/Kubernetes)
- Knowledge of Snowflake or other modern data warehouses is a plus
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