Data Engineer

Lead architect and hands-on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements., This role is for an expert-level leader who can define architectural solutions, mentor others, and influence the technical direction of client projects, with deep knowledge of system optimization and data governance., Note: Please submit your resume in English, as all application materials must be in English for review and consideration. Core Responsibilities:

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines, including the design and enforcement of the Medallion Architecture (or similar tiered structures).
• Lead the adoption of managed and serverless cloud offerings to create performant and scalable cloud-native application solutions, leveraging lakehouses and warehouses.
• Drive best practices for advanced ETL/ELT workflows, data governance, and data quality across platforms, utilizing tools like dbt and Fivetran for orchestrating jobs and executing code from notebooks.
• Serve as a technical leader, defining and enforcing data security and access control policies across all data pipelines and platforms.
• Serve as a technical leader, ensuring robust systems across heterogeneous technology environments and BI integrations (e.g., Tableau, Looker, and Power BI)., Design, build, and optimize scalable ETL/ELT data pipelines and data platforms for AI and analytics. Work with large structured and semi-structured datasets, ensure data quality and reliability, implement data models, support healthcare data ingestion and interoperability (EHR/EMR, HL7/FHIR), and maintain CI/CD, testing, and monitoring best practices. Top Skills: Amazon RedshiftAWSAws GlueAzureBigQueryDataflowDataprocDbtEhrEmrEmrEpicFhirGCPHl7PostgresPysparkPythonSnowflakeSQL Apartment List

7+ years of industry experience as a hands-on practitioner in Data Engineering, with extensive cloud platform experience (e.g., 5+ years of experience with cloud platforms such as AWS and Azure)., * Mastery of Python and advanced proficiency in SQL (TypeScript/JavaScript/Java a plus).

• Extensive experience designing and building robust CI/CD pipelines and managing Infrastructure as Code.
• Deep expertise in ETL/ELT process optimization, dimensional data modeling, and data security best practices.
• Expertise in 3-5 major cloud and data platforms and exposure to all (AWS, GCP, Azure, Snowflake, Databricks, and Fabric).

Consulting & Communication:

• Serve as a key resource in client-facing consulting, driving customer engagement, influencing technical solutions for clients, and presenting complex architectural decisions.
• Proven ability to lead customer engagement and influence technical direction in a consulting environment.
• Excellent verbal and written communication skills to collaborate effectively with all stakeholders.
• Background checks may be required for certain positions/projects.

• 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: $145,000 - $175,000 USD yearly

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer., United States Easy Apply 134K-203K Annually Senior level 134K-203K Annually Senior level Artificial Intelligence * Cloud * Computer Vision * Hardware * Internet of Things * Software Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products. Top Skills: Apache IcebergApi GatewayAWSAws LambdaAws Rds/AuroraAzureDatabricksDatadogDbtFastapiFivetranGCPGoogle BigqueryLlms/Ai AgentsMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonS3SecretsmanagerSnowflakeSnsSparkSplunkSQLSqs Quantiphi, Remote United States 130K-207K Annually Senior level 130K-207K Annually Senior level Artificial Intelligence * Consumer Web * Information Technology * Real Estate * Software * PropTech Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements (cost, compute efficiency, access control), CI/CD, monitoring, and incident response. Drive cross-team technical initiatives, mentor engineers, and integrate AI tooling to improve workflows while remaining hands-on building and debugging production pipelines. Top Skills: Ai-Assisted ToolingApache AirflowCi/CdContainers (Docker)DatadogKubernetesObservability Tooling

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.