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Data Engineer

Aspire IT Services

Role overview

Qualifications

  • Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.
  • Strong SQL and Python skills (Scala is a plus).
  • Experience with orchestration tools such as dbt, Airflow, or Dagster.
  • AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.

Responsibilities

  • Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
  • Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
  • Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
  • Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving

About the company

Aspire IT Services logo

Aspire IT Services

IT Services & IT Consulting

Established in 2002 in Amman, Jordan, Aspire, a niche technology consulting & implementation firm, has been the trusted partner for several major companies in the MENA & US markets. Over the past two decades, Aspire has provided services for over 11 million person-hours, ensuring a seamless experience for over 100 million online users worldwide. Aspire supports a variety of enterprises in banking & financial services, e-commerce, media, telecom, government, health, & wellness sectors, focusing on the following service offerings across industries: • Digital Transformation Advisory • Professional Services • Independent Architecture Review & QA • Automation and Solution Development • Managed Services Aspire’s knowledge & experience with proven tools and frameworks allow clients to achieve a higher return on investment and effectively deploy resources while supporting flexibility and corporate objectives. We have helped customers with their digital strategy, system implementation, QA, and program management. We are alliance partners with Altair, Microsoft, UiPath, AA, MongoDB, and Freshworks. Aspire helps optimize clients’ operations by leveraging technology to enhance business growth, streamline processes, optimize costs, and manage IT risks. This includes implementing modern digital platforms driven by data & analytics to provide improved CX and data-driven services. In addition, our digital consulting services help clients derive & drive their Digital roadmaps, including portfolio optimization, adopt cloud & DevOps technologies, and leverage AI responsibly in their business operations. We build the foundation for our clients' success through our strong engineering, QA, IT security, and managed services. Aspire has been a strong and reliable partner, providing high-quality services, as evidenced by its long-standing client engagements and our agile approach to service delivery that focuses on “maximizing value-derived for our clients."

Company details

IndustryIT Services & IT Consulting
Company size1-10

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Job description

This is a remote position.

About the Role

As a Cloud Economics Data Engineer at Aspire, you will be responsible for designing, building, and maintaining the data pipelines and automation systems that power our cloud cost visibility, attribution, and performance insights. You will build scalable datasets and tooling that enable cost-aware decision-making across Product, Engineering, and Finance stakeholders, while optimizing data systems for performance, reliability, and cost efficiency. This role requires close partnership with Engineering and Finance teams to support cost optimization initiatives and ensure data quality across end-to-end workflows. This position is open to candidates working in US-based timezones (EST/CST).

What You'll Do

  • Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.

  • Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.

  • Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.

  • Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.

  • Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).

  • Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.

  • Ensure data quality, validation, and auditability across end-to-end data workflows.

What You'll Need

  • Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.

  • Strong SQL and Python skills (Scala is a plus).

  • Experience with orchestration tools such as dbt, Airflow, or Dagster.

  • AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.

  • Experience with Snowflake as a cloud data warehouse.

  • Strong data modeling and large-scale data processing experience.

  • Experience with CI/CD, version control (GitHub), and Infrastructure as Code (Terraform).

  • Experience with REST API integrations.

  • Demonstrated ability to optimize data pipelines for performance and cost.

  • Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.

  • FinOps Foundation Certification (Practitioner or Engineer).

  • Experience with cloud cost optimization, tagging strategies, or cost monitoring.

  • Experience with both AWS and GCP.

  • Experience with Datadog for monitoring and observability.

  • Background in data platform or shared infrastructure engineering.

Why Aspire

In addition to a competitive long-term total compensation package with salary and performance-based bonus, we have a reward philosophy that goes beyond compensation.

  • Be part of a remote-first organization where flexibility is embraced.

  • Work and learn alongside talented engineers and technology leaders.

  • Explore opportunities to learn and grow through technical and non-technical training programs.

  • Gain global exposure by working on products with international teams and clients.

  • Attend virtual and in-person international technology conferences to expand your knowledge and network.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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