Senior Data Engineer

qode.world

Senior Data Engineer developing ETL processes using Informatica and PySpark. Working in a hybrid model from Ohio or Pennsylvania with strong experience in data engineering.

Posted 4/20/2026full-timeCleveland • Ohio, Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSETLHadoopHDFSInformaticaKafkaMapReducePySparkPythonSDLC

About the role

Key responsibilities & impact

Experience: 8–10 years in Data Engineering and Data Analysis.
Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines.
Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows.
ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery.
Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
Preferred Skills: Exposure to AWS data components and analytics. Familiarity with machine learning models and AI concepts. Experience with data modeling tools such as Erwin.

Requirements

What you’ll need

8–10 years in Data Engineering and Data Analysis.
Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
Proficiency in Python and Kafka for streaming and batch data pipelines.
Strong understanding of database concepts, data design, data modeling, and ETL workflows.
Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
Hands-on experience with Agile methodology and Jira for project delivery.
Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
Preferred Skills:
Exposure to AWS data components and analytics.
Familiarity with machine learning models and AI concepts.
Experience with data modeling tools such as Erwin.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account qode.world Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 👥 HR Tech 🎯 Recruiter Artificial Intelligence
HR Tech
Recruitment qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results. Senior Data Engineer 🔥 1 hour ago 🏢🏡 Cleveland – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS ETL Hadoop HDFS Informatica Kafka MapReduce PySpark Python SDLC Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Experience: 8–10 years in Data Engineering and Data Analysis.
Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines.
Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows.
ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery.
Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
Preferred Skills: Exposure to AWS data components and analytics. Familiarity with machine learning models and AI concepts. Experience with data modeling tools such as Erwin. 🎯 Requirements
8–10 years in Data Engineering and Data Analysis.
Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
Proficiency in Python and Kafka for streaming and batch data pipelines.
Strong understanding of database concepts, data design, data modeling, and ETL workflows.
Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
Hands-on experience with Agile methodology and Jira for project delivery.
Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
Preferred Skills:
Exposure to AWS data components and analytics.
Familiarity with machine learning models and AI concepts.
Experience with data modeling tools such as Erwin. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Informatica PowerCenterInformatica IDQPySparkHadoopHDFSHiveSqoopMapReducePythonKafka

Soft Skills

communicationleadershipclient-facingcoordination