AWS Data Engineer (Senior)

Data Co Lab X; United States; Remote; USD 135,000 - 180,000; Full time

Job summary

Mactores seeks a senior AWS Data Engineer to modernize customer data platforms and deliver production migrations within fixed delivery commitments. You will design data architectures, ETL pipelines, and safe cutover strategies using PySpark, SQL, EMR, Glue, Airflow, Redshift, Snowflake, Athena, and Presto.

In a forward-deployed model, you’ll own architecture decisions, troubleshooting, and cutover validation while collaborating with customer teams to deliver production-grade solutions.

Qualifications

• Bachelor’s degree in CS, Engineering or related field.
• 3+ years of PySpark and SQL experience.
• 2+ years building data pipelines with EMR or Glue.
• 2+ years data modeling and querying with Redshift/Snowflake/Athena/Presto.
• 1+ years building pipeline orchestration with Airflow.

Responsibilities

• Build and maintain production data pipelines on AWS (EMR/Glue).
• Design data models and enable end-user querying on Redshift/Snowflake/Athena/Presto.
• Orchestrate pipelines with Airflow and monitor data quality.
• Write PySpark and SQL scripts for ETL workloads.
• Collaborate with customers and internal teams to meet data needs.
• Document technical decisions and communicate with technical and non-technical audiences.

Skills

PySpark

SQL

AWS Pipelines

Data Modeling

Airflow

Redshift

Snowflake

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Amazon EMR

Amazon Glue

Airflow

Redshift

Snowflake

Athena

Presto

Job description

Mactores# AWS Data Engineer (Senior)Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.Apply for this job View companyRemote from: USASalary: UndisclosedDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: SeniorPublished: 21 Oct 2026Apply before: 21 Nov 2026Listing views: 918Application actions: 97Application toolkit## Make your next move.Prepare your resume, explore your fit, and draft a cover letter for this opportunity.AI Summary## The role, at a glance.Mactores is seeking a senior AWS Data Engineer to modernize customer data platforms and deliver production-ready migrations under fixed delivery commitments. The role centers on designing data architectures, models, ETL pipelines, and safe cutover strategies using PySpark, SQL, EMR, Glue, Airflow, Redshift, Snowflake, Athena, and Presto. The engineer will work in a forward-deployed model with customer teams, balancing hands-on implementation, troubleshooting, and technical decision-making. Candidates need demonstrated experience in AWS data pipelines, data modeling, orchestration, and communicating complex technical work to both technical and non-technical stakeholders.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity4/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load5/5IndependentCollaborative**AI insight**This is a technically demanding customer-facing modernization role requiring production AWS data engineering expertise across pipelines, warehousing, orchestration, and migration cutovers. The fixed-date delivery model and personal ownership of outcomes create a fast pace and require strong independent judgment.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (period not specified)**$157,500**US market range (period not specified)**$135k–$180k****AI insight**Salary comparison is unavailable: the pay periods are unspecified or differ, or salary amounts are unavailable. Market figures are AI estimates. The employer pay period must be confirmed before comparison. Regenerate the analysis to obtain a market estimate with an explicit period.## Core skillsSkills and capabilities most closely associated with this opportunity.AWSData EngineeringPySparkSQLAmazon EMRAWS GlueApache AirflowData ModelingAmazon RedshiftSnowflake**Sample interview questions**Opportunity details## About this role.Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores’ founders’ sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.This is a senior role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters, at meaningfully lower engagement cost than traditional data consulting. Customers come to us after a data program has stalled pipelines nobody trusts, warehouses nobody runs new workloads on, a modernization that produced diagrams instead of production systems.Aedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation. You own what agents can’t: target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe. You’ll build with PySpark and SQL on EMR and Glue, model for Redshift, Snowflake, Athena, and Presto, orchestrate with Airflow and your work will reach production, not a slide deck.### What you will do?* Build and maintain data pipelines on Amazon EMR or Amazon Glue that run in production.* Design data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto.* Build and maintain pipeline orchestration with Airflow.* Work with customer and internal teams to understand data needs and design the solutions that meet them.* Troubleshoot and optimize pipelines and data models until they hold up under real load.* Write and maintain PySpark and SQL scripts to extract, transform, and load data.* Document and communicate technical decisions to technical and non-technical audiences — customers sign off on what we ship.* Track new AWS data technologies and judge their impact on the systems we run.### 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 pipeline orchestration 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### How we work?We run a forward-deployed model. Senior engineers embed with the customer’s team, own outcomes from discovery through production, and carry the delivery commitment personally fixed dates, with Mactores absorbing overage cost for delays inside our control. Aedeon absorbs scale; you absorb judgment. That means less of your week goes to inventory spreadsheets and manual validation, and more goes to architecture, data modeling, and cutover strategy. The culture is casual and steers clear of rigid corporate habits. We measure ourselves by what ships.### Compensation### Additional Information**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 ahead2. Deliver the best3. Be bold4. Pay attention to the detail5. Enjoy the challenge6. Be curious and take action7. Take leadership8. Own it9. Deliver value10. Be collaborativeWe 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:**A series of evaluations of your technical proficiency and suitability for the role.**Managerial Interview:** The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.**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.Mactores provides equal opportunities in all employment practices. We don’t 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 applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.**Note:** Please answer as many questions as possible with this application to accelerate the hiring process.* ### Upload your resume now + To unlock remote work opportunities and be discovered by global employers.Next step## Apply now.Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.### Continue on the employer websiteProtect your personal information and never pay to secure an interview or job offer. .