Senior Data Engineer (AWS/Spark/Python)

TL;DR

Senior Data Engineer (Data Science/ML): Build scalable data pipelines, optimize big data processing, and innovate with AWS, Spark, and Python. Focus on designing and maintaining distributed systems, data automation, and supporting machine learning workflows.

Location: Fully Remote within the United States

Salary: $117,000 - $183,600 per year

Company

hirify.global is a remote-first people search engine company helping millions reconnect and protect against fraud, with extensive data records and profiles for business and investigative use.

What you will do

• Build and automate data ingestion, processing, and loading pipelines.
• Collaborate with data science and ML teams to develop data products and support machine learning workflows.
• Create tests to monitor and ensure technical performance.
• Develop data analysis tools to capture key metrics and insights.
• Research solutions and maintain technical documentation.
• Follow best practices for data governance, quality, and ETL activities.

Requirements

• Location: Must be based in the United States for fully remote work
• 7+ years of data engineering development experience in production environments.
• Experience with large datasets (100M+ records) and scalable distributed systems on AWS.
• 5+ years programming experience with Python and big data ecosystems including Spark/PySpark.
• Experience with SQL, schema design, dimensional data modeling, Airflow, and non-relational databases like DynamoDB.
• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field.

Culture & Benefits

• Bonus program, equity plans, and 401K matching for qualified roles.
• 100% medical, dental, and vision coverage.
• Unlimited paid time off.
• Merit-based salary increases twice a year.
• Remote-first company culture with nearly 200 employees.