Senior Data Engineer - Team Lead

Job not on LinkedIn

February 7

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Logo of Teams Squared

Teams Squared

Legal • Enterprise • B2B

Teams Squared is an Alternate Legal Service Provider (ALSP) that connects law firms and legal teams with top-tier legal professionals from emerging markets. By leveraging a network of highly qualified remote legal talent, Teams Squared helps firms improve efficiency and reduce costs in areas such as commercial law, corporate law, litigation, and e-discovery. The company is committed to quality, reliability, and effective communication, ensuring that clients can access skilled legal resources while focusing on core legal tasks.

11 - 50 employees

Founded 2023

🏢 Enterprise

🤝 B2B

📋 Description

• This is a remote position. • We are seeking a highly experienced Data Engineer Team Lead to spearhead a long-term client engagement. • The ideal candidate will bring deep technical knowledge in distributed data processing tools, with specific expertise in Kafka, Spark, and Hadoop. • Experience with BigQuery is highly desirable. • This role demands proven leadership capabilities, including the ability to mentor engineers, drive project success, and communicate technical solutions effectively to stakeholders. • As a key leader in the engineering function, you will take ownership of architectural decisions, data pipeline optimizations, and guide cross-functional collaboration across teams in a dynamic, fully remote environment.

🎯 Requirements

• 6+ years of experience in data engineering, including recent leadership or team lead roles. • Expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems. • Hands-on experience with cloud data platforms; BigQuery experience preferred. • Demonstrated success in leading technical teams and delivering complex data solutions at scale. • Strong problem-solving, debugging, and performance tuning skills. • Excellent communication and leadership skills, with experience managing team workflows and stakeholder expectations. • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

🏖️ Benefits

• Fully remote work • Competitive compensation package paid in foreign currency • Regular initiatives for training and professional development.

Apply Now

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