Data Engineer – Remote / Flexible

Job Overview
We are seeking a dynamic and innovative Data Engineer to join our team in a remote and flexible work environment. In this role, you will be at the forefront of designing, developing, and maintaining robust data pipelines and architectures that empower data-driven decision-making across the organization. Your expertise will enable us to harness the full potential of big data technologies, cloud platforms, and advanced analytics tools. If you thrive in a fast-paced environment, love solving complex data challenges, and want to contribute to impactful projects from anywhere, this opportunity is perfect for you!

Responsibilities

• Design, develop, and optimize scalable data pipelines using ETL (Extract, Transform, Load) processes to ensure efficient data flow across systems.
• Build and maintain data warehouses and lakes utilizing platforms such as Azure Data Lake and Hadoop to support analytics and reporting needs.
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions using SQL, Python, Java, and Shell Scripting.
• Implement and manage big data frameworks like Apache Hive, Spark, and Hadoop for processing large datasets effectively.
• Develop RESTful APIs for seamless data integration between various applications and services.
• Conduct model training and analysis to support predictive analytics initiatives.
• Design database schemas and optimize database performance using Microsoft SQL Server, Oracle, and other relational databases.
• Utilize tools such as Talend, Informatica, Looker, and VBA to streamline workflows and enhance reporting capabilities.
• Maintain adherence to Agile methodologies for project management while ensuring high-quality deliverables in a timely manner.

Qualifications

• Proven experience as a Data Engineer or in a similar role with a strong understanding of data architecture principles.
• Proficiency in AWS cloud services including AWS S3, EC2, or related tools; experience with Azure Data Lake is highly desirable.
• Extensive knowledge of big data technologies such as Hadoop, Spark, Apache Hive, and related ecosystems.
• Skilled in SQL development with experience in Microsoft SQL Server, Oracle databases, or similar systems.
• Programming expertise in Python, Java, Bash (Unix shell), Shell Scripting or VBA for automation and data manipulation tasks.
• Familiarity with ETL tools like Talend or Informatica for efficient data integration workflows.
• Strong analysis skills with the ability to interpret complex datasets for actionable insights.
• Experience designing scalable data warehouses or lakes aligned with business needs.
• Knowledge of RESTful API development for system interoperability.
• Understanding of model training processes within analytics projects is a plus.
• Excellent collaboration skills within Agile teams along with strong problem-solving abilities. Join us to leverage cutting-edge technology stacks while working remotely in an environment that values innovation, flexibility, and your professional growth!

Pay: $81,776.45 - $120,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule

Work Location: Remote