Senior/Staff Data Engineer

We are seeking a Senior or Staff Data Engineer to design, build, and own the data platform underneath our business-critical pipelines. Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions

You will:

• Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.

• Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.

• Help evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks.

• Define and evolve batch or event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.

• Design and evolve warehouse schemas and data models.

• Build observability into pipelines and platform components.

• Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.

What You’ll Bring

• Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.

• Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.

• Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns.

• Experience owning production data infrastructure end to end.

• Strong collaboration and ownership across dependent teams.

• 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Required Tech Stack Experience

• Experience with cloud-based data platforms and distributed data processing (e.g., AWS Glue, Databricks, Snowflake, or Spark-based pipelines)

• Tableau or a comparable BI platform.

• SQL and Python.

• Workflow orchestration tooling such as Apache Airflow, Dagster or similar

Perks of Horizon3

• Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.

• Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.

• Base salary range: $199,000 - $270,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.

You Belong Here

Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.