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Salary
≈ $74k – $162k per year (Estimated)
Location
Remote (United States)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 25, 2022. Mactores scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Mactores is a data and cloud consulting firm that helps businesses build and modernise data platforms, with services covering data strategy assessments, data lake and warehouse migration, analytics, machine learning and process automation, largely on Amazon Web Services. Founded in 2008, it serves enterprise clients in the United States and runs a large delivery team in Mumbai, India. The company is headquartered in Seattle, Washington, United States.

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.

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