128 cloud data engineer jobs at 78 companies in Avondale, PA
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Lead Data Engineer
Wilmington or McLean
$179k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's degree, 4+ years application development, 2+ years big data, 1+ year cloud experience, proficiency in Java/Scala/Python and data engineering tools.
Atlanta or Baltimore or Boston or Charlotte or Columbus or Detroit or Hartford or Miami or New York or Philadelphia or Raleigh or Tampa or Washington
$91k-$122k/yrOnsiteFull Time
Slalom: Provides business and technology consulting and software engineering services.
4+ YOE4+ years building production data engineering solutions; experience with cloud data platforms, streaming, orchestration, Python/Java; strong communication and critical thinking.
ComcastNASDAQ: CMCSA: Provides global telecommunications, media content, and entertainment services.
5+ YOERequires 5+ years of data engineering experience, SQL and Python proficiency, cloud data platform experience, and familiarity with ETL, DevOps, Git, Jira, and Confluence.
SQL, Python, Databricks, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Git, Jira, Confluence, Bash, Linux, GIS
Lutron Electronics: Designs and manufactures lighting and shading control systems.
8+ YOERequired bachelor’s or master’s in CS/Data Science/Computer Engineering/Software Engineering, 8+ years related experience, expertise in data modeling, real-time/batch processing, cloud architectures, and SQL.
Irving or Woonsocket or Wellesley or New York City or Blue Bell
$93k-$222k/yrHybridFull Time
CVS HealthNYSE: CVS: Provides retail pharmacy, health insurance, and pharmacy benefit management services.
5+ YOE5+ years data engineering experience in cloud environments; strong Python (Flask/FastAPI), SQL, cloud-native architectures (GCP preferred; Azure/AWS acceptable), experience with AI/LLM workflows and production-grade data pipelines.
Asset Based Lending: A private lending firm providing bridge financing and lending solutions for real estate investors.
Extensive data engineering experience building cloud data platforms, strong Python/PySpark and SQL skills, dbt and ELT tool experience, data governance and observability knowledge, and bachelor's in a quantitative field.
Python, PySpark, SQL, dbt, Power BI, Snowflake, Databricks, Microsoft Fabric, Fivetran, Airbyte, Collibra, Microsoft Purview, AWS, Azure, Google Cloud Platform
Universal Music GroupEuronext Amsterdam: UMG: Global music recording, publishing, merchandising, and content production.
5+ YOE5+ years data engineering experience building scalable pipelines, ecommerce/Shopify data expertise, strong SQL and Python, cloud and modern data platform experience, semantic layer and AI/ML data readiness skills.
T-MobileNASDAQ: TMUS: Provides wireless voice, data, and mobile internet services.
4+ YOE5+ years experience in data engineering; cloud data architectures on-premise/cloud/hybrid; SQL/NoSQL, Python/Java/Scala/Go; cloud platforms (AWS/Azure/GCP); 4-7 years pipeline development.
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
15+ YOE15+ years data engineering experience; expertise in cloud data platforms (Azure/ADF/Databricks), data architecture, data modeling, SQL and Python; strong governance, CI/CD and stakeholder communication skills.
Adhesives Research: Develops and manufactures high-performance pressure-sensitive adhesives and specialty tapes.
5+ YOEDesign, develop, and maintain ETL pipelines; manage on-prem and cloud databases; ensure data quality, security, availability, and governance; collaborate with analytics teams.
Azure Data Factory, SQL Server, SSIS, Power BI, Oracle EBS, ERP, MES, CRM, Python, PowerShell, Azure, AWS, NIST, ISO 27001, 21 CFR Part 11
Horizon Services: Provides residential HVAC, plumbing, and electrical repair services.
8+ YOEBachelor's or master's in CS/statistics/analytics, 8+ years data engineering, 5+ years cloud (preferably AWS), strong SQL, Databricks, Snowflake, Python/PySpark, Kafka experience preferred.
Databricks, Spark, Confluent Kafka, Snowflake, AWS, SQL, Python, PySpark, Microsoft Power BI
Susquehanna International Group: Global quantitative trading firm specializing in proprietary financial markets.
Experience with numeric data storage and large datasets; proficiency in Python data stack (NumPy, pandas); experience with Kafka, Kubernetes, cloud; STEM degree or equivalent; interest in sports wagering and trading.
Urban OutfittersNASDAQ: URBN: Retailer of apparel, home goods, and lifestyle products.
6+ YOE6+ years data engineering experience modernizing cloud data pipelines with Snowflake or BigQuery; expert SQL; Git and CI/CD; familiarity with DAG tools (Airflow/Dagster) and orchestration; strong communication and AI-assisted development literacy.
Snowflake, Google BigQuery, Git, Skybot, Airflow, Dagster, SQL, Claude Code, Snowflake Cortex
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
5+ YOE5+ years application development experience, 3+ years building ETL/ELT workflows, experience with PySpark/Spark SQL and Palantir Foundry, ability to build/operate scalable data platforms, Secret clearance, Bachelor's degree.
Susquehanna International Group: Global quantitative trading firm providing proprietary financial market liquidity.
Experience with numeric data storage and large varied data sets; strong proficiency in the Python data stack (NumPy, pandas); experience with Kafka, Kubernetes, Cloud Computing; strong communication and quantitative aptitude; advanced STEM degree or equivalent senior experience.
Susquehanna International Group: Global quantitative trading and market making firm.
Design and maintain data pipelines, source and cleanse large numeric datasets, implement high-performance algorithms, and collaborate with quants and traders. Strong Python (NumPy, pandas) and experience with Kafka, Kubernetes, and cloud platforms desired.
Tokio Marine North America ServicesTokyo Stock Exchange: 8766: Provides corporate support services for Tokio Marine insurance companies.
3+ YOE7+ years IT experience (3+ in data engineering) preferred; strong SQL and SQL Server skills, Python, cloud data platforms (Databricks/Snowflake/Azure), ETL/ELT, data modeling, Informatica and P&C insurance experience preferred.
SQL, SQL Server, Python, Databricks, Snowflake, Azure, Informatica, Microsoft Excel, Microsoft Word, Visio, PowerPoint