Federal Senior Data Engineer
Join Horizon3.ai as a Senior Data Engineer to design and maintain critical data pipelines for a remote cybersecurity company.
Posted by employer 10 hours ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
Skills & Technologies
What you'll build
- Design and maintain business-critical data pipelines
- Build and operate core data infrastructure
- Evaluate and shape warehouse strategy
- Define and evolve batch or event-driven contracts
- Build observability into pipelines
Must have
- 7+ years of professional experience in data engineering
- Fluent SQL and strong data-modeling skills
- Experience owning production data infrastructure end to end
- Experience working within US Government enclaves
- Bachelor’s degree in Computer Science or related field
Practical constraints
- US Citizen with ability to gain and maintain a TS Security clearance
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Data Engineer at Horizon3.ai is responsible for designing and maintaining critical data pipelines and infrastructure that support various business operations, including product analytics and reporting. The position requires expertise in distributed systems, data architecture, and proficiency with tools like AWS Glue, SQL, and Python. Ideal candidates will have over seven years of experience in data engineering or related fields, along with a strong collaborative mindset. Horizon3.ai's team combines cybersecurity veterans and engineers, fostering a culture of innovation and respect.
Joblaze insights
- Listed today — first seen on Joblaze October 16, 2026. Last confirmed on Horizon3.ai's careers page October 16, 2026.
- Salary band is above the typical range for Data Engineering roles (median ~$180,656).
- Starts above 93% of 135 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 37 companies). See Python salary trends
- Python appears in 77.7% of 215 comparable senior data engineering roles in United States; Airflow appears in 0.5% of 215 comparable senior data engineering roles in United States.
Quick facts
- Is the Federal Senior Data Engineer role remote?
- Yes — Horizon3.ai lists this as a fully remote position.
- What's the salary range?
- Horizon3.ai lists $199,750–$235,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Federal Senior Data Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS Glue, Apache Airflow, Dagster, Databricks, Python, SQL.
- What seniority level is this role?
- Horizon3.ai targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Federal Senior Data Engineer role at Horizon3.ai.
From the original posting
What You’ll Do
We are seeking a Senior 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 with a special focus on Federal workloads and product portfolio.
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.
Experience and ability to work within US Government enclaves from FedRAMP through TS cloud environments.
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 and 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
US Citizen with/ability to gain and maintain a TS Security clearance
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: $199,750 - $235,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.
Standard company text repeated across Horizon3.ai's postings is omitted here.