Data Engineer

Cross Screen Media

Austin (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Competitive salary with high bonus potential

Great medical, dental & vision insurance packages

Unlimited paid-time-off

Job summary

A dynamic media company is looking for an experienced Data Engineer to join its team. This position involves designing and developing data pipelines, making data modeling decisions, and collaborating with a small, high-output team. Ideal candidates should have a BS in Computer Science, 5+ years of experience, strong SQL skills, and familiarity with tools like dbt and Snowflake. This is a fully remote role, with quarterly team meetings to enhance communication and collaboration.

Qualifications

5+ years experience in software/data engineering.
Strong SQL skills.
Experience working with AWS.

Responsibilities

Design and develop data pipelines.
Make data modeling and schema design decisions.
Collaborate with other members of the team on development & integration.

Skills

SQL

Data Architecture

ETL/ELT Techniques

Airflow

AWS

Unix/Linux

AI Coding Tools

Education

BS in Computer Science or equivalent

Tools

dbt

Snowflake

Job description

Cross Screen Media is founded by industry veterans and gives customers a new way to plan and execute video advertising campaigns. To achieve this, we need an amazing team. Here’s where you come in…

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast‑paced startup life. The ideal candidate doesn't just build pipelines — they think critically about how data should be modeled, how systems connect, and how to design for scale. You'll work alongside a senior data engineer and collaborate across a small, high‑output team to shape the data layer behind our product, ScreenSolve. We're currently using tools and platforms like Python, Airflow, dbt, AWS and Snowflake.

This is a fully remote position. Face to face communication is important to us, so we have quarterly in‑person team meetings at our office in Alexandria, VA. Additionally, we have biannual company offsites to give all of our employees time together in person.

Key Responsibilities

Design and develop data pipelines, with an eye toward how they fit into the broader data architecture
Make data modeling and schema design decisions — choosing the right structure for how data is stored, accessed, and extended
Think beyond the immediate task: consider how today's integration point becomes tomorrow's platform surface area
Deliver features rapidly using AI‑assisted development tools (Claude Code, etc.)
Contribute to definition of user stories
Collaborate with other members of the team on development & integration
Write unit tests and maintain high code quality, per both static code analysis & team standards
Be available on a rotating schedule for production issues

Experience

BS in Computer Science or equivalent
5+ years experience in software/data engineering
Strong SQL skills
Experience with ETL/ELT techniques
Strong sense for data architecture — you can look at a set of requirements and reason about how data should be modeled, where it should live, and how schemas should be designed for clarity and reuse
Experience with dbt
Experience with Airflow or similar orchestration tools
Experience with Snowflake or similar cloud data warehouses
Experience working with AWS
Unix/Linux fundamentals
Nice to have: Experience with AI coding tools
Nice to have: Exposure to ad tech concepts & terminology

What We Offer