Senior Data Engineer - Remote US

We are seeking a Senior Data Engineer with a strong background in data ingestion and processing for large data sets. The ideal candidate is maniacal about data accuracy and has a proven track record of building robust and scalable data pipelines. This role requires an experienced professional who can work collaboratively with cross-functional teams to design and implement solutions that meet business requirements and adhere to data security and privacy policies.

If you are a senior data engineer with a passion for data accuracy and a proven track record of building robust and scalable data pipelines, we encourage you to apply for this role. We offer competitive compensation, a flexible work environment, and opportunities for growth and advancement within the organization.

We have an amazing culture and work environment that anyone would want to be a part of. We encourage a culture of positivity. We thrive off of continuous feedback and do whatever it takes to help our team and customers be successful. You will grow as an individual, professionally, and be able to see and feel the impact you are making to the growth of Seamless every day.

• Design and develop data ingestion and processing pipelines that ensure data accuracy and completeness.
• Work closely with cross-functional teams to understand business requirements and design solutions that meet those requirements.
• Lead efforts to identify and implement data quality control measures to ensure consistency and reliability of data.
• Monitor data pipelines to identify issues and proactively resolve them.
• Evaluate and recommend new technologies and techniques to improve data pipeline performance and scalability.
• Ensure compliance with data security and privacy policies and procedures.
• Mentor junior engineers and provide technical leadership in data engineering best practices.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in data engineering, with a focus on data ingestion and accuracy.
• Strong experience with large-scale data processing frameworks such as Hadoop, Spark, or Flink.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with SQL and NoSQL databases.
• Familiarity with cloud-based data processing and storage platforms such as AWS, Google Cloud, or Azure.
• Strong experience in designing and implementing data quality control measures.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Experience mentoring and leading teams of data engineers.