# Data Engineer - Remote

**Contract** | **Remote** | **Remote Friendly** | **Due 12/30/2026**  
**Posted:** February 27, 2026  
**4 applicants**

## Apply for this position

### Job Description

#### Overview:

We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

### Responsibilities

#### Data Pipeline Development
- Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
- Implement data validation and quality checks to ensure accuracy and consistency.

#### Data Modeling and Architecture
- Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
- Optimize data storage and retrieval mechanisms for performance and scalability.
- Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.

#### Data Integration and API Development
- Build and maintain integrations with internal and external data sources and APIs.
- Implement RESTful APIs and web services for data access and consumption.
- Ensure compatibility and interoperability between different systems and platforms.

#### Data Infrastructure Management
- Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.
- Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
- Implement data security controls and access management policies to protect sensitive information.

#### Collaboration and Documentation
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
- Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
- Provide technical guidance and support to team members and stakeholders as needed.
- Collaborate with analysts and platform teams; participate in reviews, sprints, POCs, and reusable frameworks.

### Requirements:
- Bachelor’s or master’s degree in computer science, Information Systems or related fields.
- Proven experience in data engineering, software development, or related roles.
- Proficiency in programming languages commonly used in data engineering (e.g., Python, PySpark, Java, Scala, etc.).
- Strong knowledge of database systems, data modeling techniques, and SQL proficiency (e.g., Snowflake, MS Fabric, SQL Server, Oracle, Azure SQL).
- Proficiency with ETL tools commonly used in data engineering (e.g., Informatica, Databricks, Azure Data Factory).
- Experience with dashboard and reporting tools (e.g., Tableau, Power BI, Looker, etc.).
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration skills in a team-oriented environment.
- Ability to adapt to evolving technologies and business requirements.

### Equal Opportunity Employer:  
Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.