
5001 - 10000 employees
🤝 B2B
👥 B2C
☁️ SaaS
💰 $31.5M Debt Financing - Dynata on 2024-05
B2B • B2C • SaaS
Dynata is a market research and data company that provides high-quality first-party survey panels, audience data, and a suite of survey and analytics platforms to help organizations collect, activate, and measure insights. The company offers global B2B and B2C panels, survey scripting and fielding tools, data enrichment, audience activation, brand lift measurement, and data visualization, and it emphasizes data quality using AI/ML (QualityScore™) and security certifications. Dynata serves researchers, brands, media agencies, publishers, pollsters, and academics with both self-service and managed services.
🔥 0 minutes ago
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5001 - 10000 employees
🤝 B2B
👥 B2C
☁️ SaaS
💰 $31.5M Debt Financing - Dynata on 2024-05
B2B • B2C • SaaS
Dynata is a market research and data company that provides high-quality first-party survey panels, audience data, and a suite of survey and analytics platforms to help organizations collect, activate, and measure insights. The company offers global B2B and B2C panels, survey scripting and fielding tools, data enrichment, audience activation, brand lift measurement, and data visualization, and it emphasizes data quality using AI/ML (QualityScore™) and security certifications. Dynata serves researchers, brands, media agencies, publishers, pollsters, and academics with both self-service and managed services.
• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets that meet functional / non-functional business requirements • Design and implement data application components • Work with data and analytics experts to strive for greater functionality in our data systems • Develop and direct security procedures and safeguards to reduce the risk of outside breaches and protect sensitive information
• 3+ years of experience in a data engineer or software development role • Graduate degree in Computer Science or a closely related discipline • Experience with big data tools: Spark, Kafka, etc. • Experience with relational SQL and NoSQL databases • Experience with AWS cloud services: EC2, EMR, RDS, Kinesis, etc. • Experience on one or more of the following languages: Python, Scala, GoLang
• flexible work arrangements • inclusive work culture • accommodations by request can be made for all aspects of the selection process
Apply Now🕒 January 15
Senior Data Engineer at Hiflylabs working on cloud data solutions. Collaborating on data modeling, technical leadership, and mentoring teams.
🗣️🇭🇺 Hungarian Required
AWS
Azure
Cloud
🕒 December 1, 2025
Data Engineer building data pipelines in Snowflake for clients and internal projects. Collaborating with technical and business-oriented colleagues to optimize ETL processes.
AWS
Google Cloud Platform
Python
SQL