We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.
This is a remote position.
We are looking for a Data Engineer with strong experience in Databricks, PySpark, and modern Data Warehouse systems. The ideal candidate can design, build, and optimize scalable data pipelines and work closely with analytics, product, and engineering teams.
Requirements
- Strong hands-on skills in Databricks, PySpark, and SQL
- Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
- Solid understanding of Delta Lake and Lakehouse architecture
- Experience with at least one cloud platform (Azure preferred)
- Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.)
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills:
AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.
Top Skills:
Adobe AnalyticsAdobe Experience PlatformAdobe I/O RuntimeAdobe Journey OptimizerAdobe Real-Time CdpAdobe Source ConnectorsAdobe TargetAPIsAWSAzureBatch IngestionBigQueryCcpaData PrepEltETLGCPGdprJavaScriptPythonQuery ServiceRedshiftSalesforce CdpSegmentSnowflakeSQLStreaming IngestionWeb SdkXdm
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization by designing and building cloud-native ETL/ELT pipelines, data warehouses, and lakehouse architectures using Azure, Snowflake, and Databricks. Ensure data quality, security, governance, CI/CD, and healthcare interoperability while mentoring engineers and collaborating with stakeholders to deliver scalable, HIPAA-compliant analytics platforms.
Top Skills:
AdlsApache AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Azure OpenaiCi/CdCptDatabricksDatabricks GenieDatabricks Mosaic AiDockerEltETLFhirGitGithub ActionsHcpcsHl7Icd-10KafkaKubernetesLlmsLoincPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisTerraformVector StoresVisioX12 Edi (837/835/834)
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


