Data Engineer

Job not on LinkedIn

🕒 June 8

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aspire, Jordan

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Aspire is reimagining and redefining what being a technology partner in the region means. With a commitment to exceeding expectations and providing exceptional quality work, Aspire consists of a group of technology experts with diverse backgrounds and expertise. The company offers a wide range of digital consulting and technology services, including digital strategy, automation, and cybersecurity solutions, while also focusing on social responsibility initiatives. Aspire serves various sectors such as financial services, healthcare, media, e-commerce, and retail, positioning itself as a trusted digital partner across the MENA region and the US.

📋 Description

• Design, build, and maintain the Cloud Economics team's data pipelines and automation systems • Build and maintain scalable data pipelines and datasets powering cloud cost visibility, attribution, and performance insights • Design and implement data models and ingestion frameworks for large-scale telemetry and usage data • Develop tooling enabling cost-aware decision-making across Product, Engineering, and Finance stakeholders • Optimize data systems for performance, reliability, and cost efficiency through query tuning, storage strategies, and compute optimization • Partner with Engineering and Finance teams on cost optimization initiatives and usage-based insights • Ensure data quality, validation, and auditability across end-to-end data workflows

🎯 Requirements

• Proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments • Strong SQL and Python skills • 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, GitHub, and Terraform • Experience with REST API integrations • Demonstrated ability to optimize data pipelines for performance and cost • 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 • Availability to work in US-based timezones (EST/CST)

🏖️ Benefits

• Competitive long-term total compensation package • Salary and performance-based bonus • Remote-first organization with flexibility • Technical and non-technical training programs • Opportunities to learn and grow • Global exposure through products with international teams and clients • Virtual and in-person international technology conferences