Data Systems Engineer

Data Systems Engineer at Battle Road — Research Report

Introduction

The Data Systems Engineer role at Battle Road offers hands-on experience building scalable data infrastructure for a fast-growing tech firm. With the posting reposted just 20 hours ago, this remote opportunity in Colorado is perfect for ambitious students or early-career pros eager to dive into real-world data engineering. Landing this position could launch your career, giving you skills in high-demand tools while working on projects that directly impact business growth.

Overview of Battle Road

Battle Road is a Boulder-based software company specializing in cloud-native data platforms that help enterprises manage massive datasets securely and efficiently. Founded in 2018, they carved a niche in the competitive data infrastructure space by focusing on real-time analytics for industries like finance and healthcare.

Their flagship product, DataForge, is a proprietary platform that integrates seamlessly with AWS and Azure, outperforming rivals like Snowflake in cost-efficiency for mid-sized firms. Battle Road has raised $25 million in Series B funding last year, fueling 150% year-over-year growth and expanding their team to 120 employees.

Company culture emphasizes remote-first collaboration, with weekly all-hands via Slack and Notion, plus quarterly offsites in Colorado's Rockies. Employees rave about the flat hierarchy—your ideas matter from day one—and the reputation for promoting interns to full-time roles. People flock here for the blend of cutting-edge tech, work-life balance, and genuine investment in junior talent.

Data Systems Engineer Role

Role Overview

As a Data Systems Engineer, you'll design and maintain data pipelines that power Battle Road's analytics engine, ensuring data flows reliably from ingestion to visualization. Your work directly supports client dashboards that drive million-dollar decisions, giving you visibility into the full data lifecycle. This remote role reports to the senior engineering lead and collaborates across product and ops teams.

Detailed Responsibilities

• Build and optimize ETL pipelines using Apache Airflow and Kafka for real-time data processing.
• Manage cloud data warehouses on Snowflake and Redshift, tuning queries for sub-second performance.
• Implement data quality checks with Great Expectations and monitor systems via Datadog.
• Collaborate on CI/CD workflows with GitHub Actions to deploy updates without downtime.
• Document schemas and contribute to internal tools for team-wide data access.
• Troubleshoot production issues, reducing latency by analyzing logs and metrics.

Day-to-Day Workflow

Your day starts with a 9 AM standup on Zoom, reviewing overnight pipeline alerts and prioritizing tickets in Jira. Mornings involve coding new features, like integrating a client's API into Kafka streams, followed by lunch and a walk in Colorado's fresh air. Afternoons shift to testing, peer reviews, and pairing with seniors on complex migrations—expect 60% building, 30% debugging, 10% meetings.

By EOD, you update Notion with progress and Slack any blockers, wrapping up by 5 PM to maintain that remote balance Battle Road champions.

Tools and Technologies

Battle Road's stack centers on Python for scripting, SQL for querying, and Docker/Kubernetes for containerization. Core platforms include AWS S3 for storage, dbt for transformations, and Tableau for BI. Interns get full access to these from week one, plus a $1,000 annual learning stipend for courses on Udacity or Pluralsight.

Skills and Requirements

Technical Skills

Proficiency in Python and SQL is non-negotiable, along with experience in ETL tools like Airflow or Luigi. Familiarity with cloud services (AWS preferred) and version control via Git sets you apart. Bonus points for Spark, NoSQL databases like MongoDB, or data orchestration platforms.

Soft Skills

Battle Road values problem-solvers who communicate clearly in async updates and thrive in collaborative PR reviews. Adaptability shines when pivoting between urgent fixes and long-term projects, while curiosity drives you to experiment with new tools.

Experience Expectations

They're targeting rising juniors or seniors in computer science, data engineering, or related fields—no grad degree needed. A GPA above 3.2 helps, but personal projects like a GitHub repo with ETL pipelines or Kaggle competitions outweigh transcripts. Prior internships in data ops or coursework in distributed systems seal the deal.

Salary and Benefits

For this entry-level Data Systems Engineer role, expect $28–$35 per hour, aligning with Colorado's remote tech market for interns—full-time equivalents hit $75K–$95K base. Benefits include health coverage from day one, unlimited PTO, and a $2,000 home office stipend for monitors and ergonomics.

Remote perks shine with flexible hours across US time zones, plus mentorship pairings and hackathons. High full-time conversion rate—70% of interns get offers—makes this a smart bet for long-term growth at Battle Road.

Battle Road Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit resume, cover letter, and GitHub link via Lever ATS.
2. Screening: 30-minute recruiter call assessing fit and basics.
3. Assignment: 4-hour take-home building a simple data pipeline.
4. Interviews: Two 45-minute rounds: technical deep-dive and behavioral with team.
5. Offer: Final chat with hiring manager, offer within 48 hours.

Application Timeline

Apply now—the repost signals urgency, with rolling reviews and offers extended weekly. Full process wraps in 2–3 weeks; summer interns start June, but flexible for fall. Deadlines firm up post-Screening, so momentum matters.

Screening Methods

Lever ATS scans for keywords like "ETL," "Python," "Snowflake," so weave them naturally into your resume. Portfolios with live demos trump static PDFs—link to deployed projects. Cover letters must tie your experience to Battle Road's DataForge challenges.

Interview Preparation

Example Interview Questions

• "Walk us through building an ETL pipeline for 1TB daily logs—what tools and why?"
• "How would you handle a Snowflake query timing out under load?"
• "Describe a time you debugged a production data issue."
• "Explain idempotency in Airflow DAGs and its business value."

How to Answer

Use the STAR method: Situation, Task, Action, Result—keep answers 2–3 minutes with code sketches on CoderPad. For technicals, think aloud: "I'd start with EXPLAIN ANALYZE in SQL, then cluster keys." Practice on Pramp to nail clarity under pressure.

What Recruiters Evaluate

They prioritize practical coders who optimize for scale, not theory. Cultural fit means showing remote collaboration chops via examples. Metrics like "reduced latency 40%" wow them—quantify impact everywhere.

How to Get Selected

Practical Tips

• Tailor your resume with Battle Road's stack: highlight Airflow or dbt projects.
• Build a quick demo pipeline ingesting public data to GitHub—reference it everywhere.
• Network on LinkedIn: message alumni with "Saw your DataForge work—tips for applying?"
• Apply by EOD Friday; reposts mean they're hiring fast.

Common Mistakes to Avoid

• Generic resumes—ATS rejects without keywords.
• Ignoring the take-home: half-assed code gets instant no's.
• Overlooking async comms: ramble in interviews, lose remote fit.
• No projects: transcripts alone won't cut it.

How to Stand Out

Create a Notion page mirroring their docs style, showcasing a mini DataForge clone. Reference blog posts on their site in your cover letter. Attend virtual Boulder tech meetups—Battle Road sponsors them. Follow up post-assignment with a Slack to the recruiter sharing extras you built.

Final Thoughts

This Data Systems Engineer role at Battle Road isn't just an internship—it's your ticket to mastering data infrastructure at a rocketship company. With the posting fresh and remote flexibility, now's the time to apply and turn your skills into impact. Polish that application today and position yourself for the full-time offer that follows.

Frequently Asked Questions

Q: What is the salary for Data Systems Engineer at Battle Road?

A: Hourly pay ranges $28–$35 for interns, scaling to $75K–$95K full-time, plus stipends and benefits tailored for remote Colorado work.

Q: How competitive is it to get hired at Battle Road?

A: Moderately competitive—50–100 apps per role, but strong projects beat volume. 70% intern conversion shows they hire proactively.

Q: What skills are most important for this role?

A: Python, SQL, ETL tools like Airflow, and cloud experience top the list. Problem-solving with real projects seals selection.