Data Engineer

Maestro Technologies, Inc.; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

A technology company is seeking a Data Engineer with strong expertise in Database Administration to develop robust data pipelines and optimize data infrastructure. The role requires proficiency in SQL, PostgreSQL, Python, and AWS cloud services. Ideal candidates will have a bachelor's degree in a related field or equivalent experience. Responsibilities include database administration, collaboration with stakeholders, and ensuring data quality and security. This full-time position is based in the United States.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• Experience with PostgreSQL and proven data engineering skills.
• Proficient in SQL for query optimization.

Responsibilities

• Design and maintain scalable ETL/ELT data pipelines.
• Administer PostgreSQL databases with performance tuning.
• Develop automation scripts using Python.

Skills

SQL

PostgreSQL

Python

AWS

Data Modeling

DBA skills

Education

Bachelor's degree in Computer Science or equivalent

Tools

Terraform

Docker

Kinesis

CloudFormation

Job description

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We are seeking a skilled Data Engineer with strong Database Administration (DBA) experience to design, build, and optimize our data infrastructure. This role will be responsible for developing robust data pipelines, ensuring database reliability and performance, and supporting data initiatives across the organization. The ideal candidate has deep experience with SQL, PostgreSQL, Python, and AWS cloud services.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and workflows.
• Administer, monitor, and optimize PostgreSQL databases, including performance tuning, indexing, backups, and recovery strategies.
• Implement and maintain data models, schemas, and warehouse structures to support analytics and operational needs.
• Work with data stakeholders to understand requirements and deliver reliable, high-performance data solutions.
• Develop automation scripts and tools using Python for data processing, validation, and system optimization.
• Collaborate with DevOps/Cloud teams to architect and manage infrastructure on AWS (e.g., S3, Lambda, RDS, Redshift, EC2, Glue).
• Ensure data quality, security, and governance best practices are followed across all systems.
• Monitor data pipelines and database systems, troubleshooting issues and improving reliability.
• Support migrations, upgrades, and maintenance activities for cloud and on-premises data environments.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field—or equivalent work experience.
• Proven experience as a Data Engineer with strong hands‑on DBA skills, particularly with PostgreSQL.
• Expert‑level SQL skills, including query optimization and complex data transformations.
• Proficient in Python for data engineering and automation.
• Hands‑on experience with AWS data and compute services (such as S3, Lambda, Glue, RDS, Redshift, EMR).
• Strong understanding of data modeling, schema design, and database architecture.
• Experience with version control and CI/CD processes.
• Familiarity with data security, compliance, and governance principles.

Preferred Qualifications

• Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Knowledge of streaming technologies (e.g., Kafka, Kinesis).
• Experience with containerization (Docker, ECS, Kubernetes).
• Exposure to monitoring/alerting tools (e.g., CloudWatch, Datadog, Grafana).

Soft Skills

• Strong analytical and problem‑solving abilities.
• Excellent communication skills with both technical and non‑technical stakeholders.
• Ability to work independently and collaboratively in a fast‑paced environment.
• A continuous‑learning mindset and passion for data technologies.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

IT Services and IT Consulting

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