
Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
September 25

Enterprise • Data
Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.
• Work as a full-stack AWS Data Engineer solving business problems and building data products • Collaborate with business leads, analysts, and data scientists to understand business domain • Write efficient code in PySpark and Amazon Glue and build ETL jobs • Write and optimize SQL queries in Amazon Athena and Amazon Redshift • Explore new technologies and learn techniques to solve business problems • Collaborate with engineering and business teams to build data products and services • Deliver projects collaboratively and manage timely updates to customers • Ensure data quality of business metrics and build scalable, flexible solutions
• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue • 2+ years of experience in writing ETL jobs using pySpark and SparkSQL • 2+ years of experience in SQL queries and stored procedures • Deep understanding of Dataframe API and Spark 2.7+ transformation functions • Experience writing SQL in Amazon Athena and Amazon Redshift • Experience with PySpark and Amazon Glue • Preferred: prior experience with AWS EMR and Apache Airflow • Preferred: Certifications - AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps Engineering
• Casual and fun office environment • Remote work (Full time - Remote) • Culture focused on productivity and creativity • Opportunity to be part of a world-class team • Equal opportunity employer (non-discrimination)
Apply NowSeptember 24
Data Engineer building scalable cloud pipelines from EHRs and claims. Supporting healthcare customers at Prominence with analytics-ready data and mentoring counterparts.
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Java
Kafka
Kubernetes
Python
Scala
SQL
Terraform
September 24
Lead and manage 5–8 data engineers with 50–60% hands-on coding, drive architecture, hiring, and delivery at Velir, a remote digital agency
🇺🇸 United States – Remote
💵 $170k - $185k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Apache
Azure
Cloud
September 24
Data Engineer at Mission Lane building scalable ETL/ELT pipelines with Python, dbt, and Snowflake on GCP. Collaborates with engineers, analysts, and data scientists to ensure reliable analytics.
🇺🇸 United States – Remote
💵 $110k - $130k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
SQL
Terraform
September 20
Build scalable ETL/ELT pipelines and data models for BI at Fusion Connect, ensuring data quality and cloud integration.
AWS
Azure
Cloud
ERP
ETL
Google Cloud Platform
Python
SQL
Tableau
September 20
Data Engineer building and maintaining Python/Spark pipelines and data quality for Veeva's OpenData reference datasets in the life sciences sector
🇺🇸 United States – Remote
💵 $75k - $130k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
AWS
Cloud
Java
Python
Spark
SQL