Data Engineer - Remote

This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "$ /hour." It requires expertise in data pipeline development, ETL processes, and proficiency in programming languages like Python and Java. Remote work location.

United States

Remote

Data Engineer - Remote

Data Engineer

Location:

Remote

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: 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. 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, No

SQL databases, data lakes, and cloud storage services. 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. 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. 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.

Qualifications: 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). 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). Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform). 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.