Senior Data Engineer

Job not on LinkedIn

🕒 May 26

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 55%

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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Softgic

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Softgic is a digital and cognitive transformation services company that provides custom software development, automation, cloud and cybersecurity, and emerging-technology solutions to business clients. With more than a decade of experience, Softgic offers specialized “labs” for Solutions Design (UX, Agile, process design), Build (coding, low-code, mobile, DevOps), Metaverse (VR/AR, blockchain, NFTs, virtual economy), Data (Big Data, BI, AI/ML), Automation (RPA, BPM) and Go Live (cloud, IT operations, cybersecurity). The firm emphasizes tailored, enterprise-focused services, dedicated teams, and project-based engagements to help clients modernize infrastructure, streamline processes, and adopt advanced technologies.

📋 Description

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python. • Process and integrate data from multiple formats and sources, including JSON, CSV, and XML. • Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster. • Enforce data governance, quality, and security standards across data systems. • Extend, maintain, and optimize the Elastic Hierarchy data framework. • Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets. • Support data operations in SaaS and on-premise hybrid environments.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Strong proficiency in Python development. • Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS. • Hands-on experience with Snowflake, MongoDB, and PostgreSQL. • Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster). • Knowledge of data mapping, attribution, and reconciliation processes. • Ability to work effectively in hybrid and on-premise deployment environments. • Strong English communication skills, both written and verbal.

🏖️ Benefits

• Remote Job