Senior Data Engineer

NextGenEnergyJobs; Colombia; Híbrido; COP 466.128.000 - 652.579.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Dental Insurance

Vision Insurance

HSA Contribution

Generous PTO

Parental Leave 16 weeks

Wellness Program

EAP

Home Office Reimbursement

Phone & Internet Reimbursement

Tuition Reimbursement

LinkedIn Learning Access

Equity

Commuter Benefits

Descripción de la vacante

Planet designs, builds, and operates the largest constellation of imaging satellites in history. As a Senior Data Engineer, you will own and build enterprise-scale data ecosystems using modern cloud technologies, partnering with leadership to deliver data solutions for global monitoring products.

You will lead end-to-end data architectures, with a focus on data integrity and efficiency, working in a hybrid role from US offices three days per week in Washington DC or Denver.

Formación

• 10+ years of data engineering experience with leadership.
• Bachelor’s degree in a relevant field.
• End-to-end data architecture design for global-scale, customer-facing solutions.
• Expert Python and SQL for complex ETL/ELT pipelines, including event-driven architectures.
• Proactive, self-starter mindset with the ability to lead problem-solving initiatives.
• Excellent communication translating tech work to business requirements.
• Experience with GitLab CI, Docker, Kubernetes; cloud-native architectures (GCP).
• Experience with Parquet storage and dbt in production pipelines.
• Export-controlled information access eligibility.

Responsabilidades

• Own, architect and build production, enterprise-scale data ecosystems using modern cloud technologies.
• Collaborate with cross-functional stakeholders to translate requirements into robust solutions.
• Lead evolution of data systems for global monitoring products, including defense sector customers.
• Operate in a dynamic, global environment as a senior member of the Data Team.

Conocimientos

Python

SQL

ETL/ELT

GitLab CI

Docker

Kubernetes

dbt

Parquet

GCP

Terraform

Geospatial data

Cloud architectures

Educación

Bachelor's degree in a relevant field

Herramientas

GitLab CI

Descripción del empleo

Planet designs, builds, and operates the largest constellation of imaging satellites in history.

Key Responsibilities

• As a Senior Data Engineer (DE) at Planet, you will own, architect and build production, enterprise-scale data ecosystems using modern cloud technologies, to power mission-critical, customer-facing products. You will act as a strategic partner to cross-functional stakeholders, translating complex requirements into robust, scalable solutions. You will build and design data solutions end to end: from high-level architecture and implementation to CI/CD, orchestration automated QA, and seamless integration into production systems. You’ll be a senior member of the Data Team within the Software Engineering organization, which is made up of data scientists, engineers and analysts working on similar tasks across Planet domains.
• Your scope will focus on the architecture and evolution of data systems supporting our global monitoring products. These products are vital offerings designed to provide persistent, high-cadence monitoring and active intelligence, particularly for our Defence and Intelligence customers. You will collaborate closely with leadership across Product and Engineering to ensure some of our most sophisticated customers have the data required for global security and rapid decision-making. This role is ideal for an expert data engineer looking to lead the evolution of complex systems and deliver transformative technology to the defense sector. The ideal candidate is an independent operator who thrives in a dynamic, global environment and is deeply passionate about Planet’s mission and national security solutions.
• This is a full-time, hybrid role which will require you to work from our Washington DC or Denver CO office 3 days per week.

Requirements

• 10+ years of relevant experience in data engineering with a track record of technical leadership.
• Bachelor’s degree in a relevant field.
• Expertise in designing and implementing end-to-end data architectures for global-scale, customer-facing solutions, with a focus on data integrity and efficiency.
• Expert-level proficiency in Python and SQL for complex ETL/ELT pipeline construction, including event-driven data architectures.
• Proactive, self-starter mindset with the ability to lead problem-solving initiatives in a dynamic, high-stakes environment.
• Exceptional communication skills, with the ability to translate between technical execution and high-level business requirements.
• Deep experience in maintaining enterprise-grade, peer-reviewed codebases and advanced CI/CD workflows using GitLab CI, Docker, and Kubernetes.
• Significant experience with cloud-native architectures (GCP preferred).
• Experience tuning storage formats such as Parquet to ensure sub-second query performance for consumers.
• Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production systems.
• Experience leveraging Infrastructure as Code tooling (e.g. Terraform) to manage cloud architecture.
• Experience architecting solutions for geospatial datasets.
• Knowledge of earth observation and/or satellite operation concepts.
• This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.
• These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)