Data Engineer 1 (#2702)

NextDeavor offers health vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation with potential for extended or permanent full-time employment

You will design and maintain scalable data solutions that enable the clients growth monetization efforts and drive measurable product and marketing outcomes. You will partner closely with Data Science Product Marketing and Engineering stakeholders to deliver reliable pipelines and actionable insights. This role supports an 8-hour shift with a guaranteed 40 hours per week.

• Design build optimize and maintain scalable data pipelines to support growth monetization initiatives
• Write and optimize complex SQL queries to analyze A/B experiment results
• Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets
• Optimize pipeline performance reliability scalability and data quality across distributed systems
• Work with Big Data technologies and best practices to process high-volume datasets efficiently
• Build automated monitoring alerting and validation frameworks for pipeline health and data integrity
• Partner with Data Science Product Marketing and Engineering teams to deliver actionable insights and scalable data solutions

• Strong SQL expertise with the ability to write and optimize complex queries on large datasets
• Hands-on experience with Big Data technologies such as Hadoop Hive Spark or similar distributed processing frameworks
• Experience building and optimizing scalable data pipelines in cloud and enterprise environments
• Proficiency in ETL orchestration and workflow management tools
• Experience with data quality pipeline monitoring and performance tuning
• Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment
• Minimum 5 years of experience required

$55.21 - $69.01/hour

This role may fill quickly. Submit your resume to be considered.

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