Data Engineer

Meridian South Solutions; Seattle (WA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Meridian South Solutions, a Seattle-based tech firm, seeks a Data Engineer to build scalable data pipelines for maritime analytics. You will work with Python/Java/Scala, SQL, and big data tools in a collaborative Seattle office environment.

The role offers growth through training and certifications, with a negotiable salary and a comprehensive benefits package. Open until November 23, 2026.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field or equivalent experience.
• 3+ years of data engineering experience with data pipelines, ETL, and warehousing.
• Proficiency in Python, Java, or Scala; familiarity with Hadoop, Spark, Kafka.
• Experience with AWS, Azure, or GCP and cloud data services.
• Strong SQL and NoSQL database knowledge.
• Excellent problem-solving and collaborative skills.

Responsibilities

• Design, build, and maintain scalable data pipelines for maritime data.
• Collaborate with data scientists and analysts to deliver data solutions.
• Ensure data quality, integrity, and security across pipelines.
• Optimize storage and retrieval to enhance performance and reduce costs.
• Stay updated with emerging data technologies and best practices.
• Mentor juniors and contribute to code reviews and docs.

Skills

Data engineering

Python

Java

Scala

SQL

NoSQL

Hadoop

Spark

Kafka

AWS

Azure

GCP

Education

Bachelor's degree in CS/Data Science/Engineering

Tools

Hadoop

Spark

Kafka

Job description

Meridian South Solutions, a tech firm based in Seattle, WA, seeks a Data Engineer to join our team. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Data Engineer, you will process and analyze maritime data, creating tools and systems to extract insights. You'll work with databases, ETL processes, and data pipelines to support our maritime analytics solutions.

You will collaborate with a team of data professionals in a dynamic office environment in Seattle, WA, where you'll have the opportunity to work alongside experts in data analysis, data science, and data engineering. This role offers opportunities for professional growth, including access to training programs, workshops, and certifications, as well as the chance to contribute significantly to our projects by applying your skills to solve complex business problems and drive data-driven decision-making.

The salary for this position is negotiable, taking into account the candidate's experience, qualifications, and the specific responsibilities of the role. Additionally, the hiring process will involve a thorough discussion about the comprehensive benefits package, which may include health insurance, retirement plans, paid time off, professional development opportunities, and other perks that contribute to the overall compensation and well-being of the employee.

To succeed in this role, you should have experience with data engineering tools and technologies. You should be proficient in programming languages like Python or Java, and have knowledge of SQL and big data platforms.

Responsibilities:

• Design, build, and maintain scalable data pipelines to collect, process, and analyze maritime data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security through robust data validation, cleansing, and monitoring processes.
• Optimize data storage and retrieval systems to improve performance and reduce costs.
• Stay up-to-date with emerging technologies and apply them to enhance our data engineering capabilities.
• Mentor and guide junior team members, fostering a culture of learning and continuous improvement.
• Participate in code reviews and contribute to the development of best practices for data engineering.
• Document data processes, architectures, and workflows for future reference and knowledge sharing.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
• 3+ years of experience in data engineering, with a strong background in data pipelines, ETL processes, and data warehousing.
• Proficiency in programming languages such as Python, Java, or Scala, and familiarity with big data technologies like Hadoop, Spark, or Kafka.
• Experience with cloud platforms like AWS, Azure, or GCP, and familiarity with cloud-based data services.
• Strong understanding of database systems, including SQL and NoSQL databases.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and collaboration skills, with the ability to translate technical concepts for non-technical stakeholders.
• Passion for data and a keen interest in maritime industry applications.