GCP Data Engineer (W2T7112)

Location: 100% Remote (Preferred: Memphis, TN / Dallas, TX / Atlanta, GA)

Contract Type: C2C

Contract Rate: $65 Max

Taxes: W2 or 1099 (No third-party candidates)

Contract Duration: 12 Months

Minimum Years of Experience: 14+ years

Must Have Skills:

• Google Cloud Certified Professional (GCCP) Data Engineer or Cloud Architect
• Working knowledge of Kubernetes, Java, or Scala
• SQL
• ETL
• Data Integration

About the Role:

The Senior GCP Data Engineer designs and executes large-scale data migration and modernization initiatives onto Google Cloud Platform (GCP). The role focuses on migrating legacy databases, on-premises systems, and cross-cloud environments to native GCP architectures, delivering secure, scalable, and high-performance data pipelines adhering to enterprise data governance standards.

Enterprise-scale legacy-to-cloud data migration and modern data warehouse/lakehouse modernization on Google Cloud Platform.

Important Skill-Set, Technologies, Certifications, and Methodologies:

• GCP Data Stack: BigQuery, Cloud Storage (GCS), Dataflow (Apache Beam), Dataproc (Hadoop/Spark), Cloud Composer (Apache Airflow), Pub/Sub, Dataplex, BigLake, AlloyDB, Cloud SQL, Data Fusion, Datastream.

• Programming & Querying: Python, SQL, PySpark, Shell Scripting, Java, Scala.

• Databases & Big Data: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, Cassandra, Teradata, Snowflake, Apache Spark, Apache Kafka, Hive, Delta Lake.

• DevOps & IaC: Terraform (Infrastructure as Code – IaC), Git/GitHub/GitLab, CI/CD Pipelines (Jenkins), Docker, Kubernetes.

• Methodologies: ETL/ELT Pipeline Modernization, Source-to-Target Mapping, Data Governance & Quality Reconciliation, Cutover Planning.

Job Description:

• Lead end-to-end data migration assessments, strategy design, source-to-target mappings, and cutover/hypercare deployments.
• Build scalable ETL/ELT batch and real-time ingestion pipelines utilizing BigQuery, Dataflow, and Dataproc.
• Establish data validation, reconciliation, and automated quality frameworks across target platforms.
• Implement metadata management, data lineage, cataloging, and access controls via Dataplex and Data Catalog.
• Automate infrastructure provisioning and workload deployments using Terraform and CI/CD pipelines.

Required Skills:

• 14+ years in data engineering with deep hands-on expertise in GCP Data Services (BigQuery, Dataflow, Cloud Storage).
• Proven track record leading enterprise-scale database and data warehouse migrations.
• Advanced proficiency in Python, PySpark, SQL, and Apache Airflow / Cloud Composer.
• Strong background in relational, NoSQL, and legacy warehouses (Teradata, Oracle, Snowflake, PostgreSQL).

Resume keywords:

GCP, Google Cloud Platform, BigQuery, Dataflow, Dataproc, Cloud Composer, Apache Airflow, Pub/Sub, Dataplex, DataMigration, ETL, ELT, Python, PySpark, SQL, Terraform, IaC, CI/CD, Snowflake,  Data Lakehouse,  TerraData, Oracle, Apache Spark, Kafka

Application Process:

If you’re interested and available for this role and responsibilities, please go ahead and send your updated resume in a word or pdf document with your expected annual salary here.

If you are engaged in any project and not available in the job market, please feel free to share this job position within your network.