Join our Data Engineering team as a Senior Data Engineer to build and optimize data infrastructure, collaborate with cross-functional teams, and drive innovation.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We are looking for a skilled Senior Data Engineer to join our Data Engineering team. You will build and optimize the data infrastructure that powers critical decisions across Data Science, Fraud, and Marketing, delivering scalable solutions that drive real impact.
What You’ll Do
- Build & Scale: Design and implement Spark ETL pipelines on AWS to process large-scale data.
- Collaborate: Partner with cross-functional teams to understand needs and deliver reliable data solutions.
- Optimize: Maintain and enhance data platform architecture for performance, scalability, and cost-efficiency.
- Ensure Excellence: Champion data quality, governance, and reliability across all data products.
- Drive Innovation: Implement best practices and contribute to continuous improvement.
- Maintain Operations: Ensure platform health through monitoring, incident response, and performance tuning.
Who We're Looking For (Must-Haves)
- Experience: 5+ years in Data Warehousing, Architecture, or Engineering.
- Big Data: Strong expertise in Apache Spark, Hadoop, and Hive, including streaming pipelines.
- Programming: High proficiency in Scala, Java, or Python.
- Cloud: Deep hands-on experience with AWS (EMR, S3, Lambda, Redshift).
- System Design: Strong grasp of system design, data structures, algorithms, and building large-scale data products.
- Governance: Solid understanding of data quality and governance principles.
- Mindset: Self-driven, collaborative, and eager to learn.
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Nice to Haves (Gold Stars)
- Experience with DBT.
Benefits & Perks
- Full-Time W2 Engagement: Enjoy the stability and benefits of a full-time W2 position.
- Remote Flexibility: Work from anywhere in the United States.
- Impactful Work: Opportunity to solve complex challenges and make a tangible impact on our data infrastructure.
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In accordance with the New York City Salary Transparency Law, the base salary range for this position is $150,000.00 – $250,000.00 annually. This range represents the good-faith minimum and maximum salary the Company believes it would pay for this role at the time of this posting.
Actual compensation will be determined based on factors such as experience, skills, qualifications, geographic location, internal equity, and business needs. This position may also be eligible for additional compensation, including bonuses, commissions, and/or benefits, as applicable.
Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus.
Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.
Apply directly or book a quick intro chat here: [https://calendly.com/christina-v-re-partners]
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