[Remote] Staff Data Engineer at OXIO

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Telecommunications, SoftwareIndustries

Requirements

15+ years experience as a data engineer and/or analytics engineer building large scale data platforms and scalable data warehouses
10+ years of hands-on experience coding in Python, Spark, SQL for building and maintaining data pipelines
5+ years of experience working with AWS cloud, dbt and Snowflake, Databricks, BigQuery, Redshift or other data warehouses
Proficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data Architecture concepts
Advanced SQL skills (ease with window functions, defining UDFs)
Experience in implementing real-time and batch data pipelines with strict SLOs, and optimizing data storage and access patterns
Proven track record of enhancing data reliability, discoverability, and observability
Hands-on experience with data visualization and BI tools (Tableau, PowerBI, Cibe.dev)
Strong grasp of data governance, compliance frameworks, and secure data sharing
Good understanding of working with storage layers like Hudi, Delta Lake or Iceberg
Demonstrated success in leading large-scale projects across teams and mentoring others in Data Engineering best practices
Experience building operational tools and defining best practices to improve operational efficiency and developer experience—including evaluating and adopting AI-based tools for engineering productivity

Responsibilities

Lead the design, development, and scaling of the modern data platform
Shape the data infrastructure and drive governance
Build scalable APIs that power real-time and batch analytics
Evaluate, design, and migrate the organization toward a North Star data architecture
Support a wide range of analytics use cases across telecom networking, product intelligence, financial reporting, and internal/external data insights
Help build a comprehensive Customer 360 platform powered by ML models and behavioral data
Help build, maintain, and scale data pipelines that bring together data from various internal and external systems into the data warehouse
Partner with internal stakeholders to understand analysis needs and consumption patterns
Partner with upstream engineering teams to enhance data logging patterns and best practices
Participate in architectural decisions and help plan for the company’s data needs as we scale
Adopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development
Advise engineers and other cross-functional partners on how to most efficiently use data tools
Develop data solutions through hands-on coding

Skills

Key technologies and capabilities for this role

Data PipelinesData WarehousingData GovernanceScalable APIsReal-time AnalyticsBatch AnalyticsData ArchitectureML ModelsBehavioral DataFraud DetectionBrand IntelligenceCustomer 360

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience level is required for this role?

The role requires 15+ years of experience as a data engineer or analytics engineer building large-scale data platforms and scalable data warehouses.

What technical skills are required?

Required skills include 10+ years of hands-on coding in Python, Spark, SQL for data pipelines, 5+ years with AWS cloud and tools like dbt, Snowflake, Databricks, BigQuery or Redshift, proficiency in Dimensional Modeling (Star Schema, Kimball, Inmon), and advanced SQL.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of experience makes a strong candidate for this role?

A strong candidate has 15+ years in data engineering with large-scale platforms, deep expertise in Python, Spark, SQL, AWS, dbt, Snowflake or similar, and proficiency in dimensional modeling and data architecture.

OXIO

Telecom-as-a-Service platform for wireless services

About OXIO

OXIO provides a platform called Telecom-as-a-Service (TaaS) that enables businesses, brands, and mobile network operators (MNOs) to offer wireless services without needing to build extensive infrastructure. This platform is cloud-native and programmable, allowing clients to launch and manage mobile services efficiently. OXIO's primary clients include enterprises and developers who want to quickly innovate and test new products, especially those requiring global connectivity for Machine-to-Machine (M2M) and Internet of Things (IoT) devices. Clients can use OXIO's fully documented API to integrate and deploy mobile services seamlessly. Unlike traditional telecom providers, OXIO offers a flexible and scalable solution that reduces the time and cost of telecom integration. The company's goal is to make telecom services accessible to a wide range of businesses, positioning itself as a key player in the global telecommunications market.

Mexico City, MexicoHeadquarters

2018Year Founded

$52.5MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Automotive & TransportationIndustries

51-200Employees

Benefits

Incentive stock options

Health & dental insurance

401(k)

Life insurance

Offices in amazing cities with a remote friendly option as well

Risks

Increased competition from telecom giants could threaten OXIO's market share.

Potential regulatory changes in Mexico and the U.S. may impact operations.

The acquisition by Cogeco could lead to strategic shifts misaligned with OXIO's goals.

Differentiation

OXIO offers a unique Telecom-as-a-Service platform for brands and enterprises.

The platform unbundles mobile telecom infrastructure, providing custom networks in days.

OXIO's cloud-based solution enables full control and actionable intelligence for brands.

Upsides

OXIO's global expansion connects M2M and IoT devices across 800 networks.

The company saw a 48% increase in network traffic in 2023.

OXIO's partnerships enhance transaction efficiency and connectivity solutions in Latin America.

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