Senior Data Engineer - Spark, Python, Data Quality

Blueprint Technologies; Redmond (WA); Remote; USD 110,000 - 122,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision

401(k) plan

Paid time off

Parental leave

Professional growth

Job summary

Blueprint Technologies is seeking a senior data engineer to design, develop, and maintain data-intensive systems that support migration, processing, and integration initiatives. You will build scalable data pipelines using Python, SQL, and Apache Spark, ensuring data quality and reliability across complex datasets.

The role requires 5–7 years of experience in data engineering or data-intensive software development, a BS in a related field, and strong analytical and collaborative abilities.

Qualifications

• Strong programming in Python and SQL.
• Experience with data quality checks and reconciliation across systems.
• Experience designing and maintaining complex data processing systems.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions for data migration, processing, and integration.
• Build and optimize data pipelines and workflows using Python, SQL, and Apache Spark.
• Perform data quality assessments, validation, reconciliation, and comparisons to ensure data accuracy.
• Collaborate with engineering and cross-functional teams to deliver data solutions on time.
• Prepare technical documentation and test plans for data migration and engineering projects.

Skills

Python

SQL

Data engineering

Data quality checks

Troubleshooting

Analytical skills

Communication

Education

Bachelor’s degree in Computer Science / related field

Tools

Apache Spark

Job description

Blueprint Technologies is seeking a senior data engineer to design, develop, and maintain data-intensive systems that support migration, processing, and integration initiatives. You will build scalable data pipelines using Python, SQL, and Apache Spark, ensuring data quality and reliability across complex datasets.

The role requires 5–7 years of experience in data engineering or data-intensive software development, a BS in a related field, and strong analytical and collaborative abilities.