Blue Orange Digital Logo

Blue Orange Digital

Data Engineer

Sorry, this job was removed at 01:31 p.m. (PST) on Wednesday, Jul 22, 2026
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
135K-155K Annually
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
135K-155K Annually

Similar Jobs

9 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • News + Entertainment • Software • Database • Financial Services
Lead the architecture and development of scalable AWS-based data ingestion, transformation, and orchestration pipelines. Build reliable data infrastructure using Python, SQL, Airflow, Lambda, ECS, SQS, and Terraform. Establish data modeling, quality, lineage, monitoring, testing, and observability practices while partnering with analysts, scientists, and backend engineers. Mentor senior engineers, guide technical decisions, and provide hands-on leadership for complex data platform initiatives.
Top Skills: Amazon EcsAmazon KinesisAmazon RedshiftAmazon S3Amazon SqsApache AirflowApache FlinkAWSAws GlueAws LambdaBeautifulsoupCi/CdDatabricksDockerGreat ExpectationsKafkaMonte CarloMwaaPythonScrapySnowflakeSQLTerraform
15 Days Ago
Remote
United States
Mid level
Mid level
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
22 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
118K-179K Annually
Senior level
118K-179K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills: Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics
Company Overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Position Overview:

This role is for an experienced, hands‑on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow.

Experience:

5+ years of industry experience as a hands‑on practitioner in Data Engineering.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Core Responsibilities:
  • Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.

  • Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt.

  • Design and maintain data models, potentially utilizing data virtualization tools like Cube.

  • Leverage managed and serverless cloud offerings to create performant and scalable cloud‑native application solutions and data pipelines.

  • Apply best practices for data security and ensure compliance with governance requirements.

  • Build high‑performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI.

  • Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

Key Requirements:
  • Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus).

  • Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses.

  • Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers).

  • Experience with advanced DevOps, CI/CD, and strong Linux system administration skills.

  • Expertise in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

Consulting & Communication:
  • Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders.

  • Effective communication and the ability to collaborate with both technical and non‑technical stakeholders.

What We Offer
  • Competitive base compensation with performance bonuses

  • Comprehensive health, dental, and vision benefits

  • 401(k) with company match

  • Work on diverse, high-impact engagements across industries

  • Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure)

  • Builder culture where analysts lead engagements and ship work, not slides

  • Professional development budget and certification support

  • Flexible remote work environment with a collaborative, high-talent team

Salary: $135,000 – $155,000 USD yearly

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal‑opportunity employer.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account