Data Engineer Jobs

About The Position

Requirements

• 3+ years of experience in data engineering, ETL development, or a related field using Big Data methodologies.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field.
• Proficiency in Python, Pandas, Spark, and Java.
• Hands-on experience with AWS Big Data services such as EC2, S3, EMR, Kinesis, DynamoDB, Athena, AWS Glue, and Redshift.
• Experience with Unix/Linux environments.
• Knowledge of source code management systems like Git.
• Strong understanding of programming best practices, testing, and version control.
• Experience building scalable, high-performance data pipelines and data processing workflows.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Nice To Haves

• Master’s degree in Computer Science, Data Engineering, Information Technology, or related field.
• Experience with Terraform or other infrastructure-as-code (IaC) tools.
• Familiarity with Agile development methodologies and software lifecycle management.
• Experience with data visualization tools and reporting frameworks.
• Exposure to machine learning pipelines or analytics platforms.
• Knowledge of cloud security, data privacy, and compliance best practices.

Responsibilities

• Design, develop, and maintain modular, reusable, and efficient code to solve complex, real-world data problems.
• Conduct regular peer code reviews to ensure quality, maintainability, and compliance with industry best practices.
• Collaborate with cross-functional teams to understand business requirements and ingest diverse data sources.
• Research, experiment, and implement leading Big Data technologies on AWS.
• Develop and maintain ETL pipelines, data warehouses, and streaming data solutions.
• Assist in defining and enforcing data architecture, governance, and platform standards.
• Participate in developing thought leadership and best practices for data engineering at ampliFI.
• Transform and visualize data for both ad hoc analyses and automated product-level solutions.
• Troubleshoot, optimize, and monitor data workflows and pipelines for performance, reliability, and security.
• Collaborate with internal teams and stakeholders to communicate technical concepts clearly and manage project interdependencies.

Benefits

• Competitive pay plus 401(k) with employer match
• Medical, dental, vision, and life insurance
• Voluntary café plans, including voluntary life, accident, hospital, critical care, and parking/transit options
• Tuition Reimbursement
• Paid time off, company holidays, and parental leave
• Employee Assistance Program
• Hybrid work environment with flexible hours
• Onsite perks including gym access and snacks
• Employee recognition programs celebrating milestones and achievements
• Growth opportunities within a supportive, team-oriented environment