Remote Senior Data Engineer (USA) | WFH

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Overview

Get It Recruit - Information Technology is seeking a Remote Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining scalable data processing systems that drive our analytical capabilities. You will collaborate with cross-functional teams to optimize data workflows and ensure data integrity across multiple platforms. Your expertise will play a crucial role in harnessing data to support business decision-making and improve overall performance.

Job Responsibilities

• Design and deploy robust data pipelines to streamline data collection and processing.
• Implement ETL (Extract, Transform, Load) processes to facilitate data integration and ensure high-quality datasets.
• Collaborate with data scientists and analysts to understand data requirements and refine data models.
• Monitor data workflows and conduct troubleshooting to resolve any issues that arise.
• Ensure compliance with data governance policies and best practices in data management.
• Optimize database performance through effective indexing and partitioning strategies.
• Document data engineering processes and architecture for future reference and scalability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with big data technologies (e.g., Apache Hadoop, Spark) is highly preferred.
• Familiarity with programming languages, such as Python, Java, or Scala.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions.
• Strong analytical and problem-solving skills, with attention to detail.

Technologies & Tools

The Remote Senior Data Engineer will primarily utilize technologies and tools such as SQL and NoSQL databases, including Postgres and MongoDB, along with data processing frameworks like Apache Spark and Kafka. Familiarity with cloud services such as AWS (S3, Redshift) or Azure is essential, as well as knowledge of automation and orchestration tools like Apache Airflow or Talend to facilitate data workflows. Additionally, proficiency in programming languages like Python and Java will be crucial for building and maintaining data solutions.

Ideal Candidates

The ideal candidate for this position is a proactive, results-oriented professional with a passion for data engineering. They should possess strong analytical skills combined with the ability to think critically and solve complex problems. Excellent communication and collaboration skills will facilitate effective teamwork across departments. A strong foundation in programming and a continuous desire to learn and adapt to new technologies are essential attributes, as well as a commitment to producing high-quality work in a fast-paced, remote work environment.