The AWS Data Engineer will develop and maintain data pipelines using AWS technologies, perform data modeling, and collaborate with teams to meet data needs.
Mactores is the agent-native AWS modernization firm. We ship modernization to production in weeks — data platforms migrated, applications refactored, AI agents running against real data. Our delivery is built on the agent platform built by our team, and executed by forward-deployed engineers who own outcomes end-to-end. Fixed-date commitments. Real production systems. Retired legacy.
We are an AWS Premier Tier Services Partner with the AWS Agentic AI Specialization, seven AWS Consulting Competencies (including Migration and Modernization, Data and Analytics, Machine Learning, and AI Services), and seventeen AWS Service Validations. Our named production customers include Synaptics, Flipboard, Poshmark, Tilia, KlearTrust, and Safaricom.
Most modernization work doesn't ship. Ours does. That's the job.
Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
What you will do?
- Develop and maintain data pipelines using Amazon EMR or Amazon Glue.
- Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- Build and maintain the orchestration of data pipelines using Airflow.
- Collaborate with other teams to understand their data needs and help design solutions.
- Troubleshoot and optimize data pipelines and data models.
- Write and maintain PySpark and SQL scripts to extract, transform, and load data.
- Document and communicate technical solutions to both technical and non-technical audiences.
- Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.
What are we looking for?
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience working with PySpark and SQL.
- 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
- 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Ability to work independently and within a team environment.
You are preferred if you have
- AWS Data Analytics Specialty Certification
- Experience with Agile development methodology
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
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