
11 - 50 Mitarbeiter
🤝 B2B
🏢 Unternehmen
B2B • Enterprise
14 Technology Holdings ist eine Technologiebeteiligungsgesellschaft, die sich auf die Skalierung und Bereitstellung von Betriebssupport für Datenberatungs- und Analytikunternehmen spezialisiert hat. Sie bietet geteilte Betriebs-, Marketing- und Ingenieursinfrastruktur, damit Portfoliofirmen sich auf die Bereitstellung datengesteuerter Beratungs- und Analytiklösungen für ihre Kunden konzentrieren können. Das Unternehmen legt den Fokus auf den Aufbau betrieblicher Grundlagen und Strukturen für Analytik-Innovatoren, um Wachstum und positiven Einfluss zu beschleunigen.
🕒 vor 20 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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11 - 50 Mitarbeiter
🤝 B2B
🏢 Unternehmen
B2B • Enterprise
14 Technology Holdings ist eine Technologiebeteiligungsgesellschaft, die sich auf die Skalierung und Bereitstellung von Betriebssupport für Datenberatungs- und Analytikunternehmen spezialisiert hat. Sie bietet geteilte Betriebs-, Marketing- und Ingenieursinfrastruktur, damit Portfoliofirmen sich auf die Bereitstellung datengesteuerter Beratungs- und Analytiklösungen für ihre Kunden konzentrieren können. Das Unternehmen legt den Fokus auf den Aufbau betrieblicher Grundlagen und Strukturen für Analytik-Innovatoren, um Wachstum und positiven Einfluss zu beschleunigen.
• Partner hand in hand with the Director of Data to translate platform and data strategy into engineering execution, operating as peers across the data organization. • Take an already high-performing data engineering team and keep it aligned with best practices — establishing, championing, and continuously reinforcing standards for modeling, transformation, testing, and documentation as the platform evolves. • Provide strategic direction and technical leadership to the data engineering team, defining and executing the data engineering roadmap in alignment with the broader business and data strategy. • Operate as a hands-on leader in a role split roughly 50% management / 50% individual contribution. • Define and maintain data architecture standards and best practices that ensure the consistency, reliability, and maintainability of data pipelines and systems. • Lead the design and implementation of data models and schemas that enable integration and analysis across the platform. • Architect and build complex data systems, including large-scale data migration projects. • Design, implement, and manage data pipelines, ETL processes, and data warehousing solutions for efficient ingestion, transformation, and storage. • Partner with the DevOps team to deploy new data prototypes and R&D initiatives. • Debug and optimize long-running queries, tuning pipelines for performance, scalability, and reliability across data volume, velocity, and variety. • Recruit, hire, onboard, and mentor a high-performing data engineering team — setting clear expectations, providing regular feedback, and conducting performance evaluations. • Foster a collaborative, inclusive team environment that promotes professional growth and skill development. • Evaluate and select technologies, tools, and platforms that enhance data engineering capability and scale. • Collaborate with data scientists, analysts, software engineers, and other stakeholders to translate data requirements into solutions that meet business needs. • Partner with IT, security, and compliance teams to maintain data privacy, security, and compliance standards. • Monitor and troubleshoot data engineering processes, resolving issues quickly. • Stay current with industry trends and emerging technologies, driving innovation and continuous improvement across processes, tools, and methodologies.
• 8+ years of experience in data engineering or a related field, including 3+ years in a leadership/management role. • Bachelor's degree or higher in Computer Science, Data Science, Information Technology, or a related field. A master's degree is a plus. • Deep expertise in data pipeline design, ETL processes, data warehousing, and data integration. • Advanced proficiency in SQL and Python; familiarity with R is a plus. • Experience with cloud data platforms (AWS, Azure, GCP) and modern data warehouses (Redshift, BigQuery, Snowflake). • Solid command of database systems, data modeling, and schema design. • Proven ability to manage complex projects and deliver high-quality results on time. • Excellent leadership, communication, and interpersonal skills, with the ability to articulate technical decisions to both technical and non-technical stakeholders. • Strong analytical and problem-solving skills, with a focus on innovation and continuous improvement. • Other duties as assigned.
• Premier health, dental, and vision insurance plans • 401K matching • Unlimited paid time off • Paid personal and volunteer leave • 13 paid holidays • 15 weeks paid parental leave • Professional development stipend & tuition reimbursement • Macbook Pro laptop & tech accessories • Bring Your Own Device (BYOD) stipend for mobile device • Employee Assistance Program (EAP) • Supportive & collaborative culture • Flexible working hours • Remote friendly (within the U.S.) • Pre-tax transportation options for commuting to our office in Washington, DC • Lunches and snacks • And more!
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