589 azure data engineer jobs at 251 companies in Paterson, NJ
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Azure Databricks Data Engineer
Raritan, New Jersey, United States
$100k-$135k/yrOnsiteFull Time
LTIMindtreeNational Stock Exchange of India: LTIM: Global technology consulting and digital solutions.
10+ YOERequires 10–12 years of data engineering experience, strong Databricks, Python, PySpark, SQL, Delta Lake, Unity Catalog, ETL/ELT, CI/CD, data governance, and DevOps expertise.
Socotec: Provides testing, inspection, and certification services for building safety.
7+ YOE7-10 years data engineering experience with Databricks, Spark, Delta Lake, strong SQL and Python skills, enterprise ETL/ELT, experience with MDM, cloud data platforms, and data architecture.
Plano or Scottsdale or Wilkes Barre or New York City
$100k-$140k/yrHybridFull Time
Berkshire Hathaway GUARD Insurance Companies: Provides property and casualty insurance products to small businesses.
5+ YOE5+ years data engineering experience, degree in CS/IT, strong SQL and Python, data modeling, lakehouse and cloud experience (Azure/MS Fabric preferred), Power BI and Azure DevOps familiarity.
Power BI, Microsoft Fabric, Azure DevOps (ADO), SQL, Python, Databricks, Snowflake, AWS, Azure, Tableau, Spark, Scala
United States or Foster City or Orange County or Morristown
RemoteFull Time
Bridgepointe Technologies: Vendor-agnostic IT strategy and technology procurement services.
5+ YOERequires 5+ years in data engineering, advanced SQL, Python, Spark/PySpark, Microsoft Fabric, Azure data services, APIs, data modeling, CI/CD, Git, and Azure DevOps; bachelor's degree or equivalent experience.
Microsoft Fabric, Lakehouse, Warehouse, Data Pipelines, Notebooks, OneLake, Git, Azure DevOps, Spark, PySpark, SQL, Python, Azure, Delta Lake, Parquet, REST APIs, JSON, Power BI, DP-600, DP-700
FanDuelNYSE: FLUT: Offers online sports betting and daily fantasy sports services.
3+ YOE3+ years in data or software engineering with strong SQL, Python/Java/Scala, Databricks, Airflow, dbt, Spark, Kafka, and cloud (AWS/GCP/Azure) experience.
Municipal Credit Union: Provides banking and financial services to members in New York.
6+ YOEBachelor's degree or equivalent with 6-8 years experience, strong SQL and data pipeline skills (Fabric, Azure Data Factory), cloud data lake/warehouse experience (Azure Synapse/Cosmos), .NET/C#, and data quality/ETL expertise.
Anteriad: Provides data-driven B2B marketing solutions and buyer intent analytics.
3+ YOE3+ years data engineering experience; strong SQL skills; hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Microsoft Fabric; experience migrating on-prem ETL to cloud; Bachelor’s degree preferred.
Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, Microsoft Fabric Lakehouses, Microsoft Fabric Warehouses, Microsoft Fabric Pipelines, Microsoft Fabric Notebooks, Power BI, Microsoft Excel, PySpark, Spark SQL, Python, SSIS, AWS, Google Cloud Platform
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
15+ YOEBachelor's degree and 15+ years in enterprise data engineering, architecture, analytics, AI platforms, and cloud engineering; expertise in Azure, Microsoft Fabric, Databricks, Power BI, data governance, AI, and cloud-native technologies.
Microsoft Azure, Microsoft Fabric, Databricks, Power BI, Azure OpenAI, Azure AI Services, APIs, MLOps, LLMOps, CI/CD, DevOps, Infrastructure as Code, SRE
Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
15+ YOEBachelor’s degree and 15+ years in enterprise data engineering, architecture, analytics, AI platforms, and cloud engineering; expertise in Azure, Microsoft Fabric, Databricks, Power BI, governance, and generative AI.
Azure, Microsoft Fabric, Databricks, Power BI, Azure OpenAI, Azure AI Services, Electronic Medical Records (EMR), Microsoft Excel, MLOps, LLMOps, CI/CD, DevOps, Infrastructure as Code, Large Language Models (LLMs), RAG, APIs, SRE
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
6+ YOE6+ years experience, strong SQL, Python and Spark; Python expertise mandatory; hands-on AWS and/or Databricks; experience with cloud data platforms (AWS/Azure); knowledge of data modeling, governance, and metadata.
Arlo: AI-powered health insurance platform providing level-funded plans for businesses.
3+ YOE3–5 years in data engineering or backend engineering with data pipelines, Python/SQL, dbt, and orchestration tools; cloud experience; focus on data quality and reliability.
MetLifeNYSE: MET: Global provider of insurance, annuities, and financial services.
8+ YOE8+ years data solutions experience with 4+ years in Azure/Databricks; strong SQL, Spark, Scala/Python, Big Data (Hive/HBase), Azure services, ETL/warehousing, CI/CD, data governance, and leadership/mentoring experience.
Microsoft Azure, Microsoft Azure Databricks, Databricks, Apache Spark, SQL, Scala, Python, Hive, HBase, Microsoft Azure Functions, Microsoft Cosmos DB, Microsoft Azure Data Factory, Delta Lake, Shell, Bash, Microsoft PowerShell, Microsoft Event Hub, Oracle, Microsoft SQL Server, CI/CD
Child Mind Institute: Clinical care and research for children's mental health.
5+ YOEMaster's in a related field and 5+ years experience in data analysis/data science, scientific programming (Python/R/MATLAB), Linux, version control, Docker, ETL, SQL/NoSQL, and cloud platforms (AWS/Azure/Terraform).
Child Mind Institute: Mental health care and research for children and families
5+ YOEMaster's in a relevant field; 5+ years in data analysis/data science; 5+ years programming in Python/R/MATLAB and toolkits (SciPy, scikit-learn, Polars, PyTorch); 5+ years Linux, GitHub, Docker; 5+ years ETL and SQL/NoSQL; familiarity with AWS, Azure, Terraform.
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
7+ YOERequires 7–10 years in data engineering or migration, hands-on ETL/ELT, SQL, Python, Azure or AWS, data modeling, validation, reconciliation, and ability to lead small teams or initiatives.
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.
New York Blood Center: Non-profit organization collecting and distributing blood and stem cells.
6+ YOE6+ years data engineering experience; bachelor’s in CS/Data Science/IT or related; expert SQL and Python (PySpark); deep Azure data platform experience (ADF, Databricks, Synapse, ADLS); data modeling, pipeline ownership, governance, and HIPAA compliance.
SQL, Python, PySpark, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Microsoft Purview, Microsoft SQL Server, Oracle, CI/CD
Balyasny Asset Management: Global multi-strategy investment firm managing diverse alternative asset classes.
3+ YOE3+ years data engineering experience; strong Python, SQL, Spark; Snowflake and cloud (AWS/Azure/GCP) experience; pipeline orchestration and data quality expertise.
Python, SQL, Spark, NoSQL, Snowflake, Hive, Hadoop, Airflow, Luigi, Oozie, NiFi, AWS, Azure, Google Cloud, Go