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Company

Geoforce · 1 day ago

Data Engineering Team Lead

Remote, United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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Asset ManagementInformation Services

Culture & Values

H1B Sponsor Likely

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Responsibilities

Hands-On Leadership: Act as a player-coach by balancing technical responsibilities with team leadership. Provide mentorship and support for engineers, while also taking development responsibility of key data engineering initiatives.

Data Architecture and Design: Lead the design, development, and deployment of highly scalable and reliable data infrastructure using modern tools like Snowflake, Databricks, and cloud-based services. Continuously refine the data architecture to meet evolving business and technical needs.

ETL and Data Pipelines: Design, build, maintain, and optimize data pipelines and ETL processes using tools like Airbyte and Fivetran for efficient data ingestion, transformation, and storage. Ensure these pipelines are robust, scalable, and production ready.

Collaboration: Work closely with cross-functional teams including data analysts, product managers, software engineers, and business stakeholders to understand data requirements and deliver high-value data solutions. Utilize Looker and PowerBI to provide actionable insights and drive decision-making.

Infrastructure Management: Oversee the management of data infrastructure using modern cloud-based environments (AWS preferred). Implement best practices for infrastructure as code, configuration management, and monitoring (e.g., Terraform, Ansible, Datadog).

Technical Debt Management: Proactively manage and mitigate technical debt within the data platform, balancing the need for innovation with system stability and scalability.

Innovation and Growth: Drive innovation in data engineering by experimenting with new technologies, techniques, and tools. Cultivate a culture of learning and continuous improvement within the team.

Data Governance and Quality: Establish and maintain data governance standards to ensure the integrity, consistency, and accuracy of data. Implement techniques for monitoring data infrastructure reliability and correctness.

Production Operations: Take ownership of the operational reliability of data systems, including on-call support for critical data infrastructure components.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data pipelinesETL frameworksData infrastructureAirbyteFivetranSnowflakeDatabricksSQLLookerPowerBIApache KafkaInfrastructure as CodeTerraformAnsibleDatadogPythonDockerKubernetesData modelingScalaAI/ML pipelinesAWS servicesData governanceData quality

Required

Hands-on experience with building and operating data pipelines, ETL frameworks, and data infrastructure in production environments.

Expertise in Airbyte, Fivetran, Snowflake, and Databricks for data warehousing, data integration, and analytics.

Strong proficiency in SQL and working with large datasets, with experience building data models for Looker and PowerBI.

Expertise in Apache Kafka for real-time data streaming and event-driven architectures.

Experience with Infrastructure as Code and configuration management tools like Terraform, Ansible, and monitoring tools like Datadog.

Proficient in Python, with experience in other languages like Scala.

Experience with containers and orchestration tools such as Docker and Kubernetes.

Strong understanding of data modeling, including data lakes, relational databases, NoSQL, and OLAP cubes.

8+ years of experience as a hands-on data engineer, demonstrating deep technical expertise in building complex, scalable data solutions.

3+ years of experience leading data engineering teams or initiatives, demonstrating strategic thinking, mentoring, and advising stakeholders.

Bachelor’s degree in Computer Science, Data Science, or a related field.

Preferred

Familiarity with AI/ML pipelines and AWS services like SageMaker or Lambda for scalable model deployment.

A strong interest in driving data governance initiatives and ensuring data quality.

Company

Geoforce

Geoforce provides asset management solutions utilizing GPS, RFID and other wireless technologies.

Founded in 2007

Coppell, Texas, USA

51-200 employees

http://www.geoforce.com

H1B Sponsorship

Geoforce has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2020 (2)