7 bigquery data engineer jobs at 3 companies in Wildwood, FL
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Data Platform Engineer
Orlando or United States
RemoteFull Time
Worth AI: Automating business underwriting and onboarding for financial institutions.
Expertise with graph databases and entity resolution, schema design, graph-optimized APIs, cloud-native ETL (AWS), modern data stack (Spark/Flink, Kafka/Kinesis, Airflow, Snowflake/Redshift/BigQuery/Databricks), CI/CD, containerization, and strong software engineering in Python/Java/Go/Rust.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOERequires 5+ years of related experience, a bachelor's degree or equivalent experience, and proficiency in data engineering, SQL, Python, Java, Spark, databases, cloud platforms, Agile, Scrum, OOP, and big data concepts.
SQL, Python, Java, Apache Spark, T-SQL, Cloudera Data Platform, Snowflake, Google BigQuery, MongoDB, DynamoDB, Redis, HBase, Cassandra, AWS, Google Cloud Platform (GCP), Agile, Scrum, Apache Iceberg, Apache Glue, Apache Flink, Apache Airflow, Amazon S3, AWS Lambda, Amazon Kinesis, AWS Database Migration Service (DMS), Amazon EventBridge, GitLab, GitHub, Jenkins, Docker, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), OAuth2, SAML, Active Directory, Model Context Protocol (MCP)
Worth AI: Automating business underwriting and onboarding for financial institutions.
Expertise with graph databases and entity resolution; building scalable data-as-a-service platforms, APIs, and ETL/streaming pipelines on AWS; strong software engineering and DevOps skills.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor’s degree or equivalent experience; 5+ years required. Requires SQL, Python, Java, Apache Spark, ETL/ELT, data architecture, relational and NoSQL databases, AWS/GCP, Agile/Scrum, OOP, and big data engineering.
SQL, Python, Java, Apache Spark, TSQL, Cloudera Data Platform, Snowflake, Google BigQuery, MongoDB, DynamoDB, Redis, HBase, Cassandra, AWS, Google Cloud Platform (GCP), Apache Iceberg, Apache Flink, AWS Glue, Apache Airflow, Amazon S3, AWS Lambda, Amazon Kinesis, AWS Database Migration Service (DMS), Amazon EventBridge, GitLab, GitHub, Jenkins, Docker, Amazon ECS, Amazon EKS, AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), OAuth2, SAML, Active Directory, MCP
Worth AI: Automating business underwriting and onboarding for financial institutions.
Expertise with graph databases and entity resolution, API and schema design, building scalable data pipelines on AWS, proficiency in Python/Java/Go/Rust, experience with Spark/Flink, Kafka/Kinesis, Airflow, and DevOps tools (Docker, Kubernetes, Terraform).
Worth AI: Automating business underwriting and onboarding for financial institutions.
Expertise with graph databases and entity resolution, schema design, building graph-optimized APIs, cloud ETL and streaming pipelines, proficiency in Python/Java/Go/Rust, experience with Spark/Kafka/Airflow/Snowflake, and DevOps practices (Docker, Kubernetes, Terraform).
Atlanta or Dallas or Orlando or Chicago or Nashville or Seattle
$82k-$193k/yrHybridFull Time
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
12+ YOE12+ years enterprise application/platform architecture; 6+ years mainframe modernization; lead mainframe-to-cloud migrations; experience with COBOL/PL I, CICS/IMS, DB2, VSAM, JCL, batch; GCP architecture and data technologies.
Google Cloud Platform, Google Cloud Dual Run, Cloud Pub/Sub, BigQuery, Cloud Storage, GKE, COBOL, PL I, CICS, IMS, DB2, VSAM, JCL