Data Engineer (Intermediate)

Amplifi•Naperville, IL

5d•$95,000 - $110,000•Hybrid

About The Position

The Intermediate Data Engineer is responsible for designing, building, and maintaining scalable, high-performance data pipelines and solutions. This role works closely with business stakeholders and development teams to transform complex data into actionable insights. The position requires hands-on experience with Big Data technologies, cloud platforms (especially AWS), and multiple programming languages. The ideal candidate is analytical, detail-oriented, and capable of architecting solutions that drive business value.

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