Federal Senior Data Engineer

horizon3ai; United States; Hybrid; USD 200,000 - 235,000; Full time

Benefits offered by this job

Stock options

Health coverage

Flexible vacation

Parental leave

Job summary

horizon3ai is seeking an experienced Data Platform Engineer to own and expand the data platform supporting critical pipelines, reporting, and product analytics across regions, including government cloud environments.

You will build and operate ingestion, warehouse, orchestration, and BI components, define data contracts, refine schemas, and drive observability while coordinating delivery from design through operation.

Qualifications

• Seven or more years in data engineering, infrastructure engineering, or backend software engineering.
• Proven ability to own production data infrastructure end to end.
• Deep understanding of distributed data systems and data contracts.
• Strong SQL and data modeling with Python experience.
• Experience with cloud data platforms and distributed processing (AWS Glue, Spark, Databricks, Snowflake).
• Familiarity with BI tools (Tableau) and orchestrators (Airflow, Dagster).
• US citizenship with ability to obtain TS clearance; government cloud experience preferred.

Responsibilities

• Build and maintain data ingestion and transformation pipelines feeding warehouse and reporting tools.
• Operate core data infrastructure across regions for warehouse, orchestration, and BI.
• Help evaluate warehouse and lakehouse direction as platform needs evolve.
• Define data contracts between producer and consumer teams, including batch/ streaming/ CDC.
• Design/refine warehouse schemas and data models and add observability to pipelines.
• Coordinate across teams and drive delivery from design through operation.

Skills

SQL

Python

Data modeling

Distributed systems

Multi-region operations

Data contracts

Tools

AWS Glue

Spark

Databricks

Snowflake

Airflow

Dagster

Tableau

Job description

Role overview

Own and expand the data platform behind business-critical pipelines, reporting, and product analytics. The role covers ingestion, warehouse and orchestration infrastructure, and business intelligence across multiple regions, with a particular focus on workloads operating in US government cloud environments.

Responsibilities

• Build and maintain data ingestion and transformation pipelines, including jobs that feed a warehouse and reporting tools.
• Operate core data infrastructure across regions, including the warehouse, workflow orchestration, and BI platform.
• Help evaluate warehouse and lakehouse direction as platform needs evolve.
• Define data contracts between producer and consumer teams, choosing suitable approaches for batch, streaming, change data capture, and reprocessing.
• Design and refine warehouse schemas and data models, and add observability to pipelines and platform components.
• Coordinate across dependent teams and take responsibility for delivery from design through operation.

Requirements

• Seven or more years in data engineering, infrastructure engineering, or backend software engineering.
• Strong software engineering fundamentals and experience owning production data infrastructure end to end.
• Deep understanding of distributed data systems, architecture trade-offs, data contracts, and multi-region or multi-tenant operation.
• Strong SQL and data modeling skills, plus Python experience.
• Experience with cloud data platforms and distributed processing, such as AWS Glue, Spark, Databricks, or Snowflake.
• Familiarity with BI tools such as Tableau and workflow orchestration tools such as Airflow or Dagster.
• US citizenship and the ability to obtain and maintain a TS security clearance; experience working in government cloud environments is also required.

Benefits and work setup

Remote and hybrid arrangements are available depending on role and location.

Listed benefits include stock options, health coverage, flexible vacation, and parental leave.

The stated base salary range is $199,750-$235,000 per year, with the final amount depending on location, qualifications, experience, and skills.