Data Engineer

About this role

Remote (US)

Full-time

Engineering

## Job Summary

We are seeking a skilled and innovative Data Engineer to design, build, and maintain scalable data pipelines and platforms that empower analytics and data-driven decision-making across the organization. In this role, you will collaborate closely with analysts, data scientists, and software engineers to collect data from diverse sources, transform it into high-quality datasets, and ensure it is secure, well-documented, and easy to use.

## Key Responsibilities

Design, build, and maintain batch and/or streaming data pipelines to ingest, transform, and load data from various internal and external systems into data warehouses, data lakes, or lakehouses.

Develop and optimize data models, schemas, and storage layouts to support analytics, reporting, and machine learning use cases.

Implement data quality checks, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of critical datasets.

Collaborate with data scientists, application developers, analysts, and business stakeholders to understand data requirements and deliver well-documented datasets and tables.

Manage and tune data infrastructure components, including databases, warehouses, orchestration tools, and distributed processing frameworks.

Apply security and governance best practices, including access controls, data lineage, and compliance with privacy regulations.

Contribute to engineering standards, documentation, and reusable tooling to improve the reliability and productivity of the data platform.

## Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).

Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, or Scala).

Strong SQL skills and hands-on experience with relational databases and/or cloud data warehouses.

Experience building and operating ETL/ELT pipelines u...