Senior Data Engineer

June 7

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💰 $23.8M Series B on 2016-06

Description

• Seeking a highly skilled Data Engineer with experience in building, managing, and optimizing data pipelines • Collaborate with cross-functional teams, design scalable data solutions, and contribute to continuous improvement of data infrastructure • Responsible for implementing and maintaining data solutions on AWS and Databricks platforms • Proven track record of delivering high-quality results in a fast-paced environment, with focus on innovation and continuous improvement

Requirements

• Bachelor’s or Master’s in Computer Science/related field • 4+ years in data engineering or similar • Expertise in complex data pipeline management with IaC (e.g., Terraform) • Strong understanding of distributed systems, and machine learning basics • Analytical, problem-solving, communication, and collaboration skills • Experience in fast-paced, agile environments; delivery-focused • Self-motivated with a passion for continuous improvement in data engineering • Relevant certifications (e.g., AWS Certified Data Engineer - Associate) • Databricks Certified for Apache Spark (recommended but not required) • Ready to support production data pipelines on-call • Knowledge of data governance and compliance (GDPR, HIPAA) is beneficial

Benefits

• 20 paid holidays including: Federal holidays like Juneteenth and Labor Day, Election day, Holiday break from Dec 24 through January 1, 2 renewal days, 2 floating holidays • Flexible paid time off, including: 15 vacation days, 3 personal days, 7 sick days • Medical, dental, and vision benefits for the staff member and family at no cost, 403B retirement plan, 12 weeks paid parental leave, Student loan repayment, Family support through a virtual childcare platform, Stipends/Allowances for Mental health, Internet Service, Professional Development, Wellness, Home office setup