Staff Data Engineer

OXIO; United States; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and stock options

Company-paid healthcare

Flexible work arrangements

Company-sponsored team lunches

Job summary

OXIO is seeking a Data Engineer with over 7 years of experience in building large-scale data platforms. You will be part of the Data team, collaborating across departments to support data processing and analytics needs. This role involves building data pipelines and optimizing for reliability and efficiency.

The ideal candidate will have advanced SQL, proficiency with Python and Spark, and experience in data warehousing environments. OXIO offers a competitive salary and flexible work arrangements.

Qualifications

• 7+ years experience building large‑scale data platforms.
• Advanced SQL skills, including window functions and UDFs.
• Experience with Python and Spark for data pipelines & ETL processes.

Responsibilities

• Build, maintain, and scale data pipelines from various systems.
• Partner with stakeholders to understand analysis needs.
• Advise teams on efficient use of data tools.

Skills

Data Engineering

SQL

Python

Data Warehousing

Collaboration

Tools

Snowflake

dbt

Spark

AWS

Job description

About the Role

Full-time | US | Canada

Job Description

OXIO’s Data team is responsible for powering data‑driven decision‑making across the entire organization. We build a solid data foundation to ensure every business area has access to reliable data. In this role you will work with cross‑functional teams—including Data, Engineering, Operations, Data Science, Go‑to‑Market, and Finance—to support data processing and analytics needs, act as the internal data engineering expert, and help shape our data strategy now and for the future.

Key Responsibilities

• Build, maintain, and scale data pipelines that ingest data from various internal and external systems into our data warehouse.
• Partner with stakeholders to understand analysis needs and consumption patterns.
• Work with upstream engineering teams to improve data logging patterns and best practices.
• Participate in architectural decisions and plan for the company’s data needs as we scale.
• Evangelize data engineering best practices for processing, modeling, and lake/warehouse development.
• Advise engineers and cross‑functional partners on efficient use of data tools.

Key Qualifications

• 7+ years experience building large‑scale data platforms.
• Experience in Data Engineering and/or Analytics Engineering, building scalable data warehouses.
• Proficiency with dimensional modeling (Star Schema, Kimball, Inmon) and data architecture concepts; able to coach and influence others.
• Excellent collaboration and communication skills demonstrated by successful multi‑team projects.
• Advanced SQL skills, including window functions and UDFs.
• Experience with Python, Spark for building and maintaining data pipelines & ETL/ELT processes.
• Experience with dbt and Snowflake, BigQuery, Redshift or other data warehouses.
• Experience implementing real‑time and batch pipelines with tight SLOs and complex transformations.
• Develop data models, schemas, and standards for event data.
• Optimize storage and access patterns for fast querying.
• Improve data reliability, discoverability, and observability.
• Familiarity with data engineering tooling: ingestion, transformation testing, lineage, orchestration, publishing, metric layers.
• Knowledge of storage layers like Hudi, Delta Lake, and Iceberg.
• Product analysis, dashboarding, and reporting aptitude.
• Familiarity with infrastructure tooling such as Terraform/Pulumi and Kubernetes.
• Proficiency with AWS cloud.

Nice to Haves

• Experience building streaming applications or pipelines using async messaging services or distributed streaming platforms such as Apache Kafka.
• Knowledge of Airflow or another orchestration tool.
• Experience with Spark or PySpark.
• Experience with event‑driven architecture and streaming frameworks like Kafka, Spark, Flink.
• Experience with time‑series databases such as Clickhouse or InfluxDB.

What We Offer

• Competitive salary and stock option incentive program.
• Company‑paid healthcare.
• Flexible work arrangements.
• Company‑sponsored team lunches and retreats.
• International organization with opportunities to work across boundaries and travel.
• Diverse and inclusive team.
• We welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or.