Lead Data Engineer

March 21

🌡 Arizona – Remote

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πŸ„ California – Remote

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+9 more states

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πŸ’΅ $175k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of Legacy Groupe

Legacy Groupe

Legacy Groupe is a Swiss company based in Lausanne, the world's Olympic Capital. They are contracted by leading event organizations to design, acquire, and deliver sophisticated technology management solutions for sports events. With a focus on cultivating a sustainable organizational culture, they provide consultancy services to help organizations build high-performance teams and share their 30 years of industry expertise. Legacy Groupe is dedicated to ensuring timely and effective delivery of services in the high-stakes environment of sports events.

11 - 50 employees

⚽ Sports

πŸ“‹ Description

β€’ Legacy.com is the global leader in online memorial tributes and a top-50 news website in the United States. β€’ The Lead Data Engineer is responsible for designing, building, and maintaining high-performance data pipelines and infrastructure. β€’ Collaborate with cross-functional teams to ensure data integrity, reliability, and scalability. β€’ Mentor junior data engineers, champion best practices, and help shape the future of the data ecosystem. β€’ Manage infrastructure as code and implement security best practices.

🎯 Requirements

β€’ 10+ years of professional experience in data engineering or related field. β€’ Expertise in building and maintaining ETL/ELT pipelines using Python, Scala, or Java. β€’ Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (Snowflake, BigQuery, or Azure Synapse). β€’ Hands-on experience with streaming platforms (Kafka, Kinesis) and big data processing (Spark). β€’ Proficiency with cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code (Terraform, CloudFormation). β€’ Proven track record of optimizing performance, troubleshooting data pipelines, and scaling infrastructures. β€’ Excellent communication and collaboration skills, including leading teams and mentoring. β€’ Deep understanding of CI/CD and testing frameworks for data engineering.

πŸ–οΈ Benefits

β€’ Medical, Dental and Vision Insurance β€’ Health Savings Accounts and Flexible Spending account options with generous employer contribution (based on plan selection) β€’ Basic Life and Supplemental Life insurance β€’ Disability Insurance β€’ Voluntary Supplemental Benefits (Hospital Indemnity, Accident, Critical Illness) β€’ Flexible Paid Time Off β€’ 401k plan with discretionary employer match β€’ Paid Medical and Parental Leave β€’ Beautiful, modern office with fully stocked kitchen and weekly catered lunch

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March 19

Sparq seeks a Senior Data Engineer to design and implement data pipelines utilizing Snowflake and Azure. Work remotely while collaborating with diverse teams and advancing your career.

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