Data Engineer – GCP, AWS & Databricks Location: Remote – United States Employment Type: Contract Experience Required: 6+ Years Position Overview We are seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and data platforms. The ideal candidate will have strong hands-on experience with GCP, AWS, Databricks, Apache Spark, PySpark, Python, and SQL . This role requires expertise in building reliable ETL/ELT pipelines, integrating data from multiple sources, and optimizing cloud data solutions for performance, security, scalability, and cost. Key Responsibilities 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. Required Qualifications 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 Qualifications Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer. Experience with AWS services such as S3, Glue, EMR, Redshift, Lambda, and Kinesis. Familiarity with Delta Lake and Databricks Lakehouse architecture. Experience with streaming technologies such as Apache Kafka. Familiarity with CI/CD, Git, Terraform, and cloud infrastructure automation. Experience working in Agile development environments. Must-Have Skills GCP | AWS | Databricks | Apache Spark | PySpark | Python | SQL | ETL/ELT | Airflow/Cloud Composer | Data Warehousing | Data Lakes This is a remote position. Compensation: $45.00 - $50.00 per hour About In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs. That’s why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right. Who We Are Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need – with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company’s unique scenario and requirement, and then architect a solution accordingly. Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders – customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.
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