11 data pipeline engineer jobs at 8 companies in Union Park, FL
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Senior Vice President, Data Pipeline Engineer – Ontology & Investment Data Standard (IDS)
Pittsburgh or Lake Mary
$104k-$200k/yrOnsiteFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
6+ YOEBachelor's degree or equivalent; 6+ years data engineering/BI experience; Python, Spark, SQL; ETL/ELT; cloud (Snowflake/AWS/Databricks); knowledge graph/ontology experience preferred; strong data modeling and lineage; financial data domain familiarity.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
3+ YOEBachelor's degree and 3+ years of data engineering experience required. Requires Python, SQL, Snowflake, AWS data services, data modeling, pipelines, troubleshooting, Agile/Scrum, CI/CD, and GitHub.
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.
TurningPoint Healthcare Solutions: Provides technology-enabled clinical management for complex medical conditions.
8+ YOE8+ years software development experience, hands-on Databricks, Python, PySpark, SQL, REST APIs, git, testing, data modeling, and production data pipeline design and operation.
Databricks, Python, PySpark, SQL, REST API, git, PowerPoint, Delta Lake
Blue Origin: Develops reusable rockets and systems for human spaceflight.
4+ YOE4+ years SQL experience, Python/Spark experience, GenAI use for code generation, data modeling, visualization, and building automated data pipelines; strong customer focus and documentation skills.
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).
Hilton Grand VacationsNYSE: HGV: Global timeshare and vacation ownership.
Requires Azure Databricks, SQL, PySpark, cloud data platforms, data pipelines, CRM and Martech integration, CDP, data governance, quality testing, and cross-functional technical leadership experience.
Azure Databricks, SQL, PySpark, Customer Data Platforms (CDP), SQL Server, Azure Data Factory, Google Analytics, Adobe Analytics
Dresher or Lake Mary or Minnesota or United States
RemoteFull Time
Ascensus: Administers tax-advantaged retirement and education savings plans.
3+ YOEHands-on NICE CXone/Nexidia analytics administration, building dashboards/reports, Excel analysis; Power BI/SQL preferred; 3+ years in contact center analytics or related roles; data pipeline validation and sensitive data handling.
NICE CXone Interaction Analytics, Nexidia, Microsoft Excel, Power BI, SQL
Denver or Henderson or Houston or Oklahoma City or Tampa or Dallas or Atlanta or Austin or Orlando or Miami
$90k-$150k/yrHybridFull Time
AtkinsRéalisToronto Stock Exchange: ATRL: Providing global engineering design and infrastructure project management services.
8+ YOEBachelors in CS/IT, 8+ years software development, Python and SQL proficiency, experience with AI/ML (RAG, prompt engineering, model integration), data pipelines, Azure/Databricks, DevOps/CI-CD, PyTorch/TensorFlow/Keras/Scikit-Learn/XGBoost, and strong client communication.
Python, SQL, Microsoft Azure, Microsoft SQL Server, Microsoft Azure Data Lake Storage, Microsoft Azure Data Factory, Databricks, Microsoft Azure Active Directory, PyTorch, TensorFlow, Keras, Scikit-Learn, XGBoost, Microsoft Power BI, Tableau, Google Cloud, AWS