Build and maintain scalable batch and incremental data pipelines using Python, SQL, and Snowflake. Develop warehouse models, transformations, automation, data quality checks, lineage, alerting, and performance optimizations. Collaborate with analysts, data scientists, and application teams to deliver trusted datasets, while documenting pipelines, schemas, and data contracts.
Role Overview
We need an experienced Data Engineer to build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. You will turn raw data from many sources into trusted datasets for analytics, reporting, and downstream applications.
Key Responsibilities
- Design, build, and operate batch and incremental data pipelines using Python and SQL.
- Develop and optimize data models and transformations in Snowflake.
- Write automation and operational scripts to orchestrate, monitor, and troubleshoot data workflows.
- Implement data quality checks, validation, lineage, and alerting.
- Tune query performance and manage warehouse cost and resource usage.
- Collaborate with analysts, data scientists, and application teams to understand requirements and deliver datasets.
- Document pipelines, schemas, and data contracts.
Required Qualifications
- 7+ years of experience in data engineering or a closely related field.
- Strong Python skills and experience with scripting languages (for example Bash).
- Advanced SQL, including complex joins, window functions, and performance tuning.
- Hands-on experience with Snowflake (warehouses, stages, tasks, streams, role-based access).
- Solid understanding of data warehousing, dimensional modeling, and ETL/ELT patterns.
Preferred Qualifications
- Experience with orchestration tools (for example Airflow) and transformation frameworks (for example dbt).
- Familiarity with AWS or GCP data services.
- Exposure to data governance, security, and privacy practices.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Fintech • Payments • Financial Services
Lead Data Engineer responsible for defining architecture, engineering standards, and best practices for the enterprise data platform, collaborating with distributed teams for modernization and scalability.
Top Skills:
AirflowAurora PostgresqlAWSKafkaRedshiftSQL Server
Big Data • Real Estate • Software
The Senior Data Engineer will optimize data ingestion pipelines, manage PostgreSQL databases, design ETL processes, and ensure system reliability in a remote-first, collaborative environment.
Top Skills:
AWSAws AuroraCi/CdCloudFormationPostgresRubyRuby On RailsTerraform
.png){kind=logo}
Software
Provides Tier 1 and Tier 2 technical support in a primarily Mac-based environment. Responsibilities include troubleshooting hardware, software, networks, and SaaS applications; configuring laptops, printers, and peripherals; provisioning accounts and access; supporting meetings and events; maintaining hardware inventory; managing JSM tickets; training users; and participating in global emergency on-call coverage.
Top Skills:
Apple Mac HardwareBashGoogle MeetGoogle WorkspaceJamf ProJavaScriptJira Service Management (Jsm)macOSMoveworksNetworkingOktaPythonSlack
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
