AWS Data Engineer (Associate)

Data Co Lab X; United States; A distancia; USD 85.000 - 125.000; Jornada completa

Descripción de la vacante

Mactores is seeking an associate-level AWS Data Engineer to modernize customer data platforms and deliver production-ready pipelines, models, and data products. You will work with PySpark, SparkSQL, Glue, SQL, Athena, and Redshift on AWS data services in a forward-deployed model with customer teams.

The role emphasizes data quality, delivery ownership, and rapid learning, with opportunities to grow in DataOps and big data tooling. Remote work from the United States is supported.

Formación

• 1–3 years of experience in Apache Spark, PySpark and Amazon Glue.
• 2+ years of experience writing ETL jobs using PySpark and SparkSQL.
• 2+ years of experience with SQL queries and stored procedures.
• Strong understanding of Dataframe API and Spark transformations.

Responsabilidades

• Write efficient PySpark and AWS Glue code for production pipelines.
• Write SQL in Amazon Athena and Redshift to support data products.
• Collaborate with engineering and business teams to deliver data solutions on time.

Conocimientos

PySpark

Apache Spark

Amazon Glue

SQL

Athena

Redshift

DataOps

ETL

AWS EMR

Apache Airflow

Herramientas

AWS Glue

Descripción del empleo

Mactores# AWS Data Engineer (Associate)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: 22 Oct 2026Apply before: 22 Nov 2026Listing views: 1,177Application actions: 104Application 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 an associate-level AWS Data Engineer to modernize customer data platforms and deliver production-ready pipelines, models, and data products. The role requires hands-on PySpark, Apache Spark, Amazon Glue, SQL, Athena, and Redshift experience, with 1–3 years of relevant Spark and Glue experience and at least two years building ETL jobs. Engineers work in a forward-deployed consulting model, partnering directly with customer business and engineering teams from discovery through production cutover. Preferred qualifications include AWS EMR, Apache Airflow, DataOps knowledge, and relevant AWS or big-data certifications. The position emphasizes data quality, delivery ownership, rapid learning, and clear customer communication.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the job description.### Job Complexity4/5EasyHard### Pace & Pressure5/5RelaxedFast-paced### Autonomy Level4/5GuidedFull ownership### Communication Load4/5IndependentCollaborative**AI insight**This is a technically demanding early-career role because it combines production ETL engineering, AWS data services, Spark optimization, and customer-facing delivery. The forward-deployed model and commitment to rapid modernization increase the need for sound judgment, reliability, and the ability to learn quickly.## Salary analysisEstimated compensation compared with the broader US market for similar roles.Estimated job median (period not specified)**$105,000**US market range (period not specified)**$85k–$125k****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.PySparkApache SparkAmazon GlueAWSETLSQLAmazon AthenaAmazon RedshiftData EngineeringDataOps**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 role sits in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters. Customers come to us with pipelines nobody trusts, metrics nobody agrees on, and warehouses that stall every new business question. You’ll build the data products that fix that — working with business leads, analysts, and data scientists to understand the domain, then shipping pipelines and models that hold up in production.Because Aedeon handles the repetitive layer source discovery, schema mapping, validation harnesses — you won’t spend your early career grinding through spreadsheet audits. You’ll spend it writing code that reaches production and learning judgment from engineers who own cutovers. Data quality isn’t a checkbox here; it’s the product.### What you will do?* Write efficient PySpark and Amazon Glue code that ships to production.* Write SQL in Amazon Athena and Amazon Redshift.* Pick up new technologies and techniques and put them to work on real business problems.* Work across engineering and business teams to build data products and services people actually use.* Deliver projects with the team and land customer updates on time.### What are we looking for?* 1 to 3 years of experience in Apache Spark, PySpark, and Amazon Glue.* 2+ years of experience writing ETL jobs using PySpark and SparkSQL.* 2+ years of experience with SQL queries and stored procedures.* Deep understanding of the Dataframe API and the transformation functions supported by Spark 2.7+.### You will be preferred if you have* Prior experience in working on AWS EMR, Apache Airflow* Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer* Understanding of DataOps Engineering### How we work?We run a forward-deployed model. Engineers embed with the customer’s team, own outcomes from discovery through production, and carry the delivery commitment personally. Aedeon absorbs scale; engineers absorb judgment; the contract absorbs risk. As an associate, you’ll work inside that model from day one shipping alongside senior engineers rather than watching from a bench. The culture is casual and steers clear of rigid corporate habits. We care about what ships, and we let you be yourself while you ship it.### 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. .