Data Engineer – GCP, AWS, Databricks

Job not on LinkedIn

🕒 September 11

🇺🇸 United States – Remote

💵 $45 - $50 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

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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iShare Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

iShare Inc. is a New Jersey–based boutique IT consulting firm that provides strategic advisory, software development, and staffing services focused on helping organizations adopt the right technologies for business improvement and transformation. The firm emphasizes practical, people-centered consulting—guided architecture, automation, BI, and information security—delivered by senior leaders with deep enterprise experience across industries such as chemicals/manufacturing, healthcare, software, and professional services. iShare positions itself as a trusted, hands-on B2B partner offering white‑glove service and industry-aware IT solutions to mid-market and enterprise clients across the US.

📋 Description

• Design, develop, and maintain scalable ETL/ELT data pipelines • Build cloud-based data solutions using GCP and AWS services • Use Databricks, Apache Spark, and PySpark for large-scale data processing • Integrate structured, semi-structured, and unstructured data from multiple sources • Develop and optimize batch and real-time data-processing workflows • Improve pipeline performance, reliability, scalability, and cost efficiency • Implement data-quality checks, monitoring, security, and governance standards • Design and support cloud data warehouses and data lakes • Troubleshoot production issues and perform root-cause analysis • Collaborate with data architects, analysts, application teams, and business stakeholders • Create and maintain technical documentation for pipelines, data models, and workflows

🎯 Requirements

• 6+ Years experience required in the position overview • 5+ years of professional data engineering experience • Strong hands-on experience with both GCP and AWS • Expertise in Databricks, Apache Spark, and PySpark • Strong programming skills in Python and SQL • Proven experience developing ETL/ELT pipelines and cloud data platforms • Experience with data warehouses, data lakes, and dimensional data modeling • Experience with orchestration tools such as Apache Airflow or Google Cloud Composer • Understanding of data security, governance, monitoring, and quality frameworks • Strong analytical, troubleshooting, and problem-solving skills • Excellent communication and cross-functional collaboration skills • Preferred: experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, S3, Glue, EMR, Redshift, Lambda, Kinesis, Delta Lake, Databricks Lakehouse, Apache Kafka, CI/CD, Git, Terraform, cloud infrastructure automation, and Agile development environments