Data Engineer

Everseen•Herndon, VA

4d•Hybrid

About The Position

Everseen is seeking a Data Engineer to build the data platform that everything else at Everseen depends on. This role is crucial as the company's models are only as good as the data behind them. The Data Engineer will own the pipelines, stores, and streams that transform six petabytes of daily video and event data into usable formats for various teams. The position involves working with the latest data tooling and real-time streaming systems that feed live models across thousands of stores. This is a high-impact role at the center of the team building the next-generation platform, ideal for individuals who enjoy building robust data systems and innovating in a fast-paced environment. The role offers an opportunity for career advancement by working alongside industry experts and scaling a successful global organization.

Requirements

3-5 years building data platforms or pipelines in production, ideally at scale.
Deep understanding of data modeling, performance tuning, and cost management.
Strong hands-on experience with Snowflake and Databricks.
Proven experience building streaming and real-time data applications with tools such as Kafka, Spark Structured Streaming, or Flink.
Proven programming skills in Python and SQL for building data pipelines, performing data transformations, and implementing automation tasks.
Comfortable with software engineering practices that keep data systems maintainable.
Solid understanding of distributed systems, data warehousing, and lakehouse patterns.
Experience with large-scale video or event data, or other high-volume sources, is a strong advantage.
Familiarity with cloud platforms, Docker, Kubernetes, and CI/CD for data workloads.
A pragmatic approach to data quality, reliability, and observability.
Excellent communication skills and the ability to work closely with the teams that consume data.
Ability to share skill, knowledge, and expertise across the team and the wider organization.
Enjoy solving complex problems creatively and working independently in a fast-moving, delivery-focused team.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice To Haves

Experience with large scale video or event data, or other high volume sources.

Responsibilities

Design and build the data pipelines and platform that power model training, evaluation, and real-time inference across Everseen’s products.
Ownership of relevant data modeling activities, including conceptual, logical, and physical data modeling, to ensure data structures align with business requirements and analytical use-cases.
Work with the product and engineering teams to design and implement advanced, cloud-based data lake-house solutions.
Build and run streaming, real-time data applications that move event and video-derived data from stores to the platform with low latency.
Model, store, and serve large volumes of data on Snowflake and Databricks, ensuring reliability, queryability, and cost awareness.
Work with applied science and platform teams to provide them with clean, well-documented datasets and features they can trust.
Own data quality, lineage, and observability to ensure problems are caught early.
Optimize storage, compute, and query patterns as data volumes grow, making sensible trade-offs between cost and performance.
Drive alignment with cross-functional teams, including product, engineering, and executive leadership.
Contribute to shared tooling and standards, review work, and help elevate the team's data handling practices.
Evaluate and integrate new tools in the data and streaming space that prove valuable.